# Best Analytics Platforms - Page 3 *By [Tian Lin](https://research.g2.com/insights/author/tian-lin)* Analytics platforms provide a tool set for businesses to transform raw data into meaningful, actionable insights. They enable organizations to explore data, uncover trends, forecast future outcomes, and support informed decision making. Unlike tools limited to reporting on past performance, analytics platforms often include advanced capabilities such as predictive modeling, statistical analysis, and machine learning (ML). These platforms are designed to be flexible and scalable, supporting a wide range of use cases across the business. These platforms are used in nearly every business function, from marketing and sales to finance, operations, and HR, supporting both strategic planning and day-to-day performance monitoring. From data analysts and scientists to business stakeholders and executives, analytics platforms are used by a wide range of personas. While analysts focus on exploring data and generating insights, self-service tools now enable non-technical users to interact directly with data. IT teams support platform integration and security, reflecting the growing push to democratize data access and embed analytics into daily decision-making across the organization. Analytics platforms support critical functions such as data blending and modeling, enabling users to combine data from diverse sources and build robust, interconnected data models. The visual outputs — dashboards, reports, and interactive charts — help users explore trends, drill down into granular details, and communicate insights clearly. Unlike standalone data visualization tools, which are limited to presenting information, analytics platforms encompass the full analytical workflow. Many also offer advanced capabilities such as embedded analytics, natural language query, and augmented analytics, which leverage ML to automate insight discovery and make data exploration more accessible to a broader audience. Analytics platforms and [business intelligence (BI) software](https://www.g2.com/categories/business-intelligence) often work in tandem to support data-driven organizations. While BI tools focus on tracking and reporting historical performance through dashboards and key performance indicators (KPI), analytics platforms provide broader capabilities that support exploratory analysis and strategic planning. BI answers "what happened," while analytics platforms help users understand why it happened and what might happen next. Rather than replacing BI, analytics platforms complement it by enabling deeper insights and empowering a wider range of users across the organization. To qualify for inclusion in the Analytics Platforms category, a product must: - Ingest and integrate data from a wide range of structured and semi-structured sources - Prepare and transform data using built-in tools for cleaning, enrichment, and formatting - Support connections to diverse data sources, including file uploads, databases, application programming interfaces (API), and SaaS apps - Enable users to model data relationships, join datasets, and explore data interactively - Offer tools to build meaningful business reports, dashboards, and visualizations - Allow creation and sharing of internal analytics applications or embedded insights across teams ## How Many Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 333 ## How Does G2 Rank Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 27,200+ Authentic Reviews - 333+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Top Analytics Platforms at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) | 4.5/5.0 (1,563 reviews) | Microsoft-connected interactive dashboards | "[Microsoft Power BI Turns Raw Data into Clear, Interactive Dashboards Fast](https://www.g2.com/survey_responses/microsoft-power-bi-review-12678340)" | | 2 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,534 reviews) | Flexible visual dashboard exploration | "[Effortless Data Visualization, High Licensing Costs](https://www.g2.com/survey_responses/tableau-review-12793833)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (754 reviews) | Cloud analytics for governed data science | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 4 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (740 reviews) | Governed lakehouse analytics and ML workflows | "[Perfect for Cross-team Collaboration and Intensive Data Applications](https://www.g2.com/survey_responses/databricks-review-12745626)" | | 5 | [Looker](https://www.g2.com/products/looker/reviews) | 4.4/5.0 (1,571 reviews) | Governed shared BI metrics | "[All Our Metrics in One Place with a User-Friendly, Easy-to-Navigate Looker UI](https://www.g2.com/survey_responses/looker-review-12585179)" | | 6 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (987 reviews) | Centralized self-service business dashboards | "[All-in-One Platform for Real-Time Analytics and Dashboards](https://www.g2.com/survey_responses/domo-review-12676104)" | | 7 | [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews) | 4.4/5.0 (543 reviews) | Warehouse-native spreadsheet-style analytics | "[Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience](https://www.g2.com/survey_responses/sigma-review-12573150)" | | 8 | [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) | 4.8/5.0 (252 reviews) | Semantic-layer acceleration for enterprise BI | "[Kyvos Unified Our Business Logic with a Single Semantic Model](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12797024)" | | 9 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (671 reviews) | AWS-native serverless BI dashboards | "[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)" | | 10 | [Hex](https://www.g2.com/products/hex-tech-hex/reviews) | 4.5/5.0 (385 reviews) | SQL and Python notebook analytics apps | "[Effortless Data Analysis with Powerful AI](https://www.g2.com/survey_responses/hex-review-12262172)" | ## Which Analytics Platforms Is Best for Your Use Case? - **Leader:** [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - **Highest Performer:** [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) - **Easiest to Use:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Top Trending:** [Hex](https://www.g2.com/products/hex-tech-hex/reviews) - **Best Free Software:** [Tableau](https://www.g2.com/products/tableau/reviews) ## Which Type of Analytics Platforms Tools Are You Looking For? - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) *(current)* - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) --- **Sponsored** ### Zoho Analytics Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=620&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=3431&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms&secure%5Btoken%5D=a4cfda32bbe5236668878cd91b9e0c035b6d97bce1d1a16324bf9d2adaaa87f8&secure%5Burl%5D=https%3A%2F%2Fwww.zoho.com%2Fanalytics%2F%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DAnalytics_Platforms&secure%5Burl_type%5D=custom_url) --- ## Buyer Guide: Key Questions for Choosing Analytics Platforms Software ### What do Analytics Platforms do? When I explain analytics platforms, I frame them as systems that help teams turn business data into usable insight. These platforms bring dashboards, reports, data modeling, metric exploration, visualizations, and insight sharing into one workflow. Instead of relying on scattered spreadsheets, static reports, or disconnected data views, teams can access information faster, understand performance more clearly, and make decisions with more confidence. ### Why do businesses use Analytics Platforms? From the G2 reviewer patterns I evaluated, businesses use Analytics Platforms because data sits across many systems and takes too much manual effort to organize. Users mention fragmented reports, delayed insight, inconsistent metrics, and hard-to-present data. Common benefits include: - Faster dashboard and report creation. - Clearer visibility into KPIs, sales, marketing, operations, and product data. - Stronger exploration through filters, drilldowns, SQL, and visual workflows. - Easier sharing of insights with teams and stakeholders. - Better integration with databases, cloud platforms, spreadsheets, CRM tools, and warehouses. ### Who uses Analytics Platforms primarily? After I evaluated G2 reviewer roles, I found that Analytics Platforms serve technical and business users. - **Data analysts** build dashboards, reports, and recurring performance views. - **BI teams** manage metrics, models, and governed workflows. - **Data engineers** connect sources and prepare datasets. - **Data scientists** use notebooks, models, and advanced analytics features. - **Business analysts** translate data into operational decisions. - **Executives** use dashboards to understand trends. ### What types of Analytics Platforms should I consider? From the way reviewers describe the category, buyers should compare several product types: - **BI and dashboard platforms** for reports, visualization, and executive views. - **Self-service analytics tools** for fast business exploration. - **Cloud analytics platforms** for larger datasets and scalable processing. - **Data science and notebook platforms** for SQL, Python, models, and collaboration. - **Embedded analytics tools** for customer-facing dashboards. - **Semantic layer platforms** for shared metrics and reusable definitions. ### What are the core features to look for in Analytics Platforms? When I break down G2 reviews for this category, I look closely at the themes users repeatedly mention: - Dashboard and report builders with flexible layouts that help teams organize business data into views people can actually use. - Data visualization, charting, and interactive filters that help users explore trends, compare performance, and understand metrics faster. - Connectors for databases, spreadsheets, cloud tools, and business applications that help bring data from different systems into one place. - SQL support, data modeling, and calculated metrics that help analysts define, structure, and customize business logic. - AI-assisted search or automated insights that help users find patterns and answers without building every report manually. - Collaboration, permissions, scheduled delivery, and sharing controls that help teams distribute insights securely and consistently. - Performance controls for complex dashboards that help reports load reliably even when data volume or usage grows. - Documentation, training resources, and responsive support that help teams onboard faster and troubleshoot issues with less friction. ### What trends are shaping Analytics Platforms right now? From the G2 review patterns I evaluated, several trends stand out: - **AI-assisted analytics** is helping users ask questions, generate summaries, and discover insights faster. - **Self-service reporting** is becoming more important as business teams look for answers without depending on analysts for every request. - **Cloud and application integrations** are expanding as companies connect analytics platforms to more data sources and business systems. - **Governed metrics and semantic layers** are gaining value as teams work to keep definitions consistent across dashboards and reports. - **Performance optimization** remains a priority as users expect complex dashboards to load quickly and reliably. - **Usability and guided setup** are shaping adoption as buyers look for platforms that are powerful without creating a steep learning curve. ### How should I choose Analytics Platforms? For me, the strongest Analytics Platforms fit depends on data sources, governance needs, and scale. I would prioritize products reviewers praise for intuitive dashboards, flexible visualization, strong integrations, reliable performance, and clear collaboration. I would also examine concerns around customization, complex setup, pricing, learning curve, and AI accuracy before making a final choice. --- ## What Are the Top-Rated Analytics Platforms Products in 2026? ### 1. [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 761 **Product Description:** Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](- https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D) ### What Do G2 Reviewers Say About Qlik Sense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Qlik Sense, enabling intuitive data exploration and self-service analysis effortlessly. - Users praise the **interactive data visualizations** of Qlik Sense, enhancing their ability to explore and analyze data easily. - Users value the **powerful analytics capabilities** of Qlik Sense that enable effective data-driven decision making and insightful visualizations. - Users appreciate the **ease of use and powerful data analysis capabilities** of Qlik Sense, facilitating quick insights and reporting. - Users praise the **user-friendly interface** and robust visualization of Qlik Sense, enhancing data exploration and dashboard creation. **Cons:** - Users find Qlik Sense has **limited features** compared to Qlik Desktop and Power BI, lacking flexibility and personalization. - Users feel the lack of **missing features** in Qlik Sense compared to Qlik View limits its usefulness. - Users find Qlik Sense **expensive** , especially with licensing costs for multiple users and separate tool licenses. - Users find **data management limitations** in Qlik Sense, citing high costs and lack of advanced analytics and governance tools. - Users find the **learning curve challenging** , requiring time and expertise for effective use of Qlik Sense. #### What Are Recent G2 Reviews of Qlik Sense? **"[Amazing Analytics with Stellar Community Support](https://www.g2.com/survey_responses/qlik-sense-review-12440054)"** **Rating:** 4.0/5.0 stars *— Kalyani B.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12440054) --- **"[Visually Stunning, Excel-Like Ease on Web](https://www.g2.com/survey_responses/qlik-sense-review-12727600)"** **Rating:** 4.0/5.0 stars *— Adnan J.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600) --- #### What Are G2 Users Discussing About Qlik Sense? - [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for) - [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for) - [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment ### 2. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **Product Description:** Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users value the **user-friendliness** of ILUM, allowing for quick deployment and effortless management of workflows. - Users value ILUM's **seamless integration** with existing systems and its user-friendly interface for efficient data management. - Users commend ILUM for its **seamless integration with existing systems** , facilitating efficient data management and Spark workloads. - Users find the **setup ease** of ILUM remarkable, allowing quick deployment and seamless integration in their environments. - Users value the **easy integrations** of ILUM, simplifying complex workflows and enhancing overall operational efficiency. **Cons:** - Users find the **complex setup** of ILUM challenging, requiring time to manage configurations and optimize performance. - Users find the **difficult setup** of ILUM requires extensive tuning and customization for optimal performance and usability. - Users find the **learning curve challenging** with ILUM, needing time to adapt to its advanced configurations and interface. - Users note a need for **improved UX** in advanced settings, as some features require extensive digging or fine-tuning. - Users find ILUM's **complexity in advanced configurations** challenging, needing time to fully grasp its extensive features. #### What Are Recent G2 Reviews of ILUM? **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- ### 3. [Phocas Software](https://www.g2.com/products/phocas-software/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 188 **Product Description:** Phocas Software delivers cloud-based business intelligence (BI) and financial planning and analysis (FP&A) solutions for mid-market businesses in wholesale distribution, manufacturing, and retail. Phocas delivers an intuitive, accessible platform that simplifies data analysis and financial planning, empowering organizations to make confident, data-driven decisions. Seamlessly integrating with ERP systems and any other source, Phocas consolidates data into a centralized platform. Unlocking the potential of ERP data and delivering improvements at every business level. Its BI core enables users to explore data, spot trends, and find opportunities. FP&A tools support dynamic financial reporting, flexible budgeting, performance tracking and accurate forecasts. Plus, Phocas offers automated rebate management. Phocas Analytics A BI tool that connects businesses around one central data source. It’s fast, secure and designed to be self-serve for everyone. Up-to-date data is easy to access and explore empowering people to understand and improve the business at any level – by branch, division, sales, product, customer. • Data consolidation: ERP + other data sources automatically consolidated into a centralized platform • AI natural language: query data using Phocas AI and get instant answers • Drill down: Explore data from high-level overviews to transactional detail • Enhanced analysis: Flexible pivot tables enable custom data analysis • Ad hoc reporting: Build custom reports and dashboards in minutes and with ease • Visualizations & dashboards: Transform live data into custom dashboards, charts, graphs and sparklines Phocas Financial Statements Designed to help businesses easily and accurately report on their financial health and performance. ERP numbers are transformed into dynamic profit and loss (income statement), balance sheet and cashflow statements. Empowering users to quickly explore data in detail and to proactively solve problems. • Customize: Easily adjust statements to suit cross-functional teams • Fast: speed up month-end with automated financial data consolidation and reporting • Live actuals: work with reliable, up-to-date actuals with formulas and ratios baked into the tool • Drill down: slice, dice and drill down to transaction-level detail • Side-by-side analysis: compare statements across different periods, branches, divisions • User-based access: secure visibility and direction for end business users Phocas Budgets & Forecasts Consolidates planning across the business in one place – financial budgets, sales forecasts, headcount, demand planning. As easy to use as a spreadsheet, just faster and custom-built. • Automated: budgets and forecasts are populated with live ERP data so actuals are always reliable • Flexible: adapts to growing business needs; handles increased complexity, detailed planning • Easy tracking: use live actuals to regularly track performance, compare to budgets, quickly reforecast • Collaborative: assignment, submission and approval processes make cross-functional input quick and stress-free • Versatile: facilitates driver-based, multi-level, 3-statement budgeting, unlimited scenario planning Phocas Rebates Automated payable and receivable rebate management that improves accuracy and delivers more profitable outcomes. A self-serve tool that makes it easy to identify trends, spot near misses, and assess overall performance. With real-time updates, users can quickly optimize product offers, pricing, and purchasing decisions to align with emerging opportunities. Enabling businesses to maximize profitability and strengthen partnerships. ### What Do G2 Reviewers Say About Phocas Software? *AI-generated summary from verified user reviews* **Pros:** - Users find Phocas Software to be **intuitive and user-friendly** , enhancing efficiency without extensive training. - Users value Phocas Software for its **ability to transform complex data into actionable business insights** effortlessly. - Users commend the **top-notch customer support** of Phocas Software, ensuring quick resolutions to any encountered issues. - Users highlight the **efficiency** of Phocas Software, empowering teams to make informed decisions quickly and enhance customer service. - Users appreciate the **intuitive data analysis capabilities** of Phocas Software, enabling clear insights for effective decision-making. **Cons:** - Users desire **real-time data** functionality in Phocas Software to improve reporting accuracy and responsiveness. - Users face challenges with **feature improvements** in Phocas Software, impacting operational efficiency and user experience. - Users note the need for **improvements in budgeting** and automated processes to enhance overall functionality in Phocas Software. - Users find **missing features** in Phocas Software, such as limited data handling and manual processes frustrating for operations. - Users struggle with **date format bugs** in Phocas Software, causing wasted time and data issues for US users. #### What Are Recent G2 Reviews of Phocas Software? **"[Phocas Software: Delivering Decision-Ready Insight, Commercial Control, and Governance at Scale](https://www.g2.com/survey_responses/phocas-software-review-12082649)"** **Rating:** 5.0/5.0 stars *— Lyndon R.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12082649) --- **"[Effortless Data Integration and Visualization with Phocas](https://www.g2.com/survey_responses/phocas-software-review-12057725)"** **Rating:** 5.0/5.0 stars *— Matthew W.* [Read full review](https://www.g2.com/survey_responses/phocas-software-review-12057725) --- #### What Are G2 Users Discussing About Phocas Software? - [What is Phocas Software used for?](https://www.g2.com/discussions/what-is-phocas-software-used-for) - 1 comment ### 4. [wynEnterprise](https://www.g2.com/products/wynenterprise/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 38 **Product Description:** Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. With easy-to-use designers, designed for self-service BI, Wyn offers limitless visual data exploration, allowing the everyday user to become data-driven while revealing trends and telling the story behind the data. Whether for your business or your commercial SaaS app, Wyn is an ideal solution for both. Embedded BI for your business provides a holistic view of your business and can lead to more insights, increased team collaboration, and overall business growth. Additionally, embedding Wyn in your SaaS app provides white-label reports and dashboards as part of your own app. Embed Wyn and empower your users with a seamless business intelligence solution. Features: • Seamlessly embedded Business Intelligence: Designed for embedded self-service BI, Wyn provides ad hoc reporting, interactive dashboards, scheduling, and distribution tools within any internal or commercial app. Our platform offers flexible deployment and integration. • Embedding BI with Wyn: Once installed, Wyn is 100% web-based. In your application, Wyn is embedded as a port to provide users the ability to easily create, design, share, export, and distribute dashboards and documents. Seamlessly embed Wyn via Rest API and DIV. Wyn also supports OEM installation and embedding. Additionally, you can integrate with development platforms such as Java, PHP, and .NET through GraphQL API. You can also embed inside customized .NET apps as well as JavaScript frameworks (Angular, React, Vue). • Self-service BI dashboard and reports: Eliminate your dependence on the IT departments and data analysts. Offer every end-user (from code-first to code-free) the ability to create custom ad hoc reports and interactive dashboards. Self-service BI allows users to run their own queries and create their own reports, even if they don’t have a background in statistical analysis, allowing them to turn data into valuable insights for better data driven decisions. • Data Monitoring: Create threshold based notifications and establish Wyn Alerts that are always on to monitor your data. Never miss an opportunity for improvement thanks to real-time monitoring and instant alerts. Integrate your push-notifications with the platform you use everyday - Slack, MS Teams, or email - ensuring that you never miss an alert. •Localization Support: With Custom Localization Support, you’re in control of your dashboard and report. Authors have the ability to localize titles and labels, text explanations, and data visualizations. There is more to localization than just translating words and sentences. Wyn’s custom localization also supports right to left (RTL) languages, regional language options, and number and date formats. •NEW! Natural Language Generation Text Scenario: Introducing InsightIQ, a revolutionary addition to our feature set that transforms the way you interact with your data. InsightIQ is a Natural Language Generation Text Scenario that takes data summarization and insights derivation to a whole new level. This powerful tool allows you to seamlessly distill the essence of your visuals into articulate and easy-to-understand natural language text, facilitating quick reviews and automatic insights extraction. • Built-in multi-tenant support: Wyn's multi-tenant capabilities provides a single centrally administered architecture to serve multiple customers (tenants). These tenants can be within an organization or different businesses, with all its data stored in the SaaS system. Data privacy and securing the data from other tenants are both critical in these deployment scenarios • Date governance and modeling: Wyn allows you to secure and model your raw data. With easy-to-use dashboard and report designers in the same web-based application, end-users can develop their own ad-hoc dashboards and reports based on the secured data. Wyn also allows allows admins to model business data in a structure familiar to users. • Extensible security: Wyn provides extensible security to match your access control needs. Filter and segregate your data and limit your tenant-specific data with the configurable role-based security and user-context definitions. User contexts provide row-level data security in a document or database-level security for a data source. User context acts as an additional layer of data security, extending the role-based security. • Specialized web portals: The software comes with three portals, the document portal; for business end-users, dashboard, and report authors, the admin portal; for admins that configure the server, manage account and security settings, and the resource portal; for data administrators or IT teams. • Pixel-perfect reports: For power users and business users, the report designer tools can help in developing pixel-perfect operational reports, as well as in creating invoices, letters, and account statements among many others. The software further allows you to use ad hoc reporting or the standard enterprise reports. • Efficient Report Sharing: The software also allows you to schedule automated delivery of reports to be sent to your team’s emails. File sharing in various document formats is also supported. Additionally, you can collaborate with your team on report and dashboard designs, and you can share the published versions with others in your enterprise. • Centralized storage; Apart from being a secured platform, Wyn Enterprise also provides centralized storage for all your reports, images, datasets, and configuration settings. Other server resources, such as dashboards, themes, models, users, and roles, are also stored in the same place. The software also allows you to compile data from relational databases, local Excel or CSV files, web sources, and NoSQL data sources. Say Goodbye to User Fees You need a scalable BI platform. You also need to know how much it will cost in the long run. Wyn's scalable licensing model allows room for your business to grow without growth in licensing fees. • No per-user fees • No limits on data size 20+ Years in the Industry Unleash the full potential of embedded ad hoc reporting, driven by the same ActiveReports engine that has led the industry for 20+ years. ### What Do G2 Reviewers Say About wynEnterprise? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **responsive and knowledgeable customer support** , enhancing their experience with wynEnterprise's capabilities. - Users value the **ease of use** of wynEnterprise, appreciating its intuitive design and fast implementation. - Users appreciate the **flexibility** of wynEnterprise for customizable dashboards and robust data integration capabilities. - Users value the **impressive reporting capabilities** of wynEnterprise, highlighting its ease of use and customization options. - Users value the **highly customizable options** of wynEnterprise, enabling precise tailoring to fit their branding and needs. **Cons:** - Users find the **poor documentation** of wynEnterprise challenging, hindering effective usage and feature comprehension. - Users find the **complexity of advanced features** challenging, noting the need for improved documentation and a simpler experience. - Users find the **lack of detailed instructions** for upgrades and insufficient map renderings frustrating and limiting. - Users express concern over the **lack of documentation** and features, hindering optimal use of wynEnterprise. - Users face challenges with **update issues** due to the need for backups before applying updates, affecting convenience. #### What Are Recent G2 Reviews of wynEnterprise? **"[Flexible Visualization for Business Insights](https://www.g2.com/survey_responses/wynenterprise-review-12170715)"** **Rating:** 4.0/5.0 stars *— Satyam k.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12170715) --- **"[Flexible Dashboards and Centralized Enterprise Data Access Control](https://www.g2.com/survey_responses/wynenterprise-review-12315453)"** **Rating:** 4.5/5.0 stars *— Ali E.* [Read full review](https://www.g2.com/survey_responses/wynenterprise-review-12315453) --- #### What Are G2 Users Discussing About wynEnterprise? - [What is Wyn Enterprise used for?](https://www.g2.com/discussions/what-is-wyn-enterprise-used-for) ### 5. [Logility Solutions](https://www.g2.com/products/logility-solutions/reviews) **Average Rating:** 4.1/5.0 **Total Reviews:** 113 **Product Description:** Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth. #### What Are Recent G2 Reviews of Logility Solutions? **"[Amazing experience](https://www.g2.com/survey_responses/logility-solutions-review-5386345)"** **Rating:** 5.0/5.0 stars *— Jay P.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-5386345) --- **"[Excellent](https://www.g2.com/survey_responses/logility-solutions-review-5041883)"** **Rating:** 5.0/5.0 stars *— Gunjan V.* [Read full review](https://www.g2.com/survey_responses/logility-solutions-review-5041883) --- #### What Are G2 Users Discussing About Logility Solutions? - [What is your experience regarding pricing and costs for Logility Solutions, and how has it impacted your supply chain?](https://www.g2.com/discussions/what-is-your-experience-regarding-pricing-and-costs-for-logility-solutions-and-how-has-it-impacted-your-supply-chain) - [What is Logility Solutions used for?](https://www.g2.com/discussions/what-is-logility-solutions-used-for) - [What is Demand Management: Forecast Management used for?](https://www.g2.com/discussions/what-is-demand-management-forecast-management-used-for) ### 6. [Astrato](https://www.g2.com/products/astrato/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 23 **Product Description:** 𝗔𝘀𝘁𝗿𝗮𝘁𝗼 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝘀 𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲-𝗻𝗮𝘁𝗶𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘁𝗵𝗮𝘁 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱, 𝗲𝗺𝗯𝗲𝗱, 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝗰𝗹𝗼𝘂𝗱 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀, 𝗖𝗹𝗶𝗰𝗸𝗛𝗼𝘂𝘀𝗲, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗗𝗿𝗲𝗺𝗶𝗼. Astrato's zero-copy architecture connects to the warehouse via a live-query engine, which means every dashboard, report, and workflow runs against the source data in real time — without extracts, data movement, or cached copies. Security policies such as row-level access controls and PII masking are inherited directly from the warehouse, reducing governance overhead for IT and data teams. 𝗧𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗿𝗲𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: • 𝗚𝘂𝗶𝗱𝗲𝗱 𝘀𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗜. A no-code interface with 70+ out-of-the-box chart types allows business users to explore data, build dashboards, and generate reports without SQL. A shared semantic layer ensures governed, reusable metric definitions across all users and content. No-code Actions let designers chain clicks, filters, and navigation into guided flows — so end users get an app-like experience, not a blank dashboard. • 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿-𝗳𝗮𝗰𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. Fully white-labeled dashboards and workflows can be embedded into external products, portals, CRMs, ERPs, and intranet tools. Three embedding modes are supported — single object, grouped visuals, or full interactive workbooks — delivered via iframe with mobile-responsive layouts. Multi-tenant isolation is enforced at both warehouse and application level via row-level filters, group permissions, and SSO pass-through. Built-in usage telemetry tracks engagement, exploration patterns, and drop-off. • 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝗮𝗽𝗽𝘀 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀. Writeback capabilities let users push data back into the warehouse from any dashboard, app, or embedded view — supporting planning, forecasting, approvals, and field updates. No-code forms with validation, conditional logic, and multi-step flows can be built without engineering. Action buttons can trigger stored procedures, external functions, Salesforce updates, Slack posts, and emails, so analytics drive downstream action. 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. Live, branded reports generated from the warehouse and delivered automatically in PDF, Excel, PowerPoint, or image format to email, Slack, Microsoft Teams, or SharePoint. Teams can upload their own Excel or PowerPoint templates and have them populated with live data at run-time. Per-recipient row-level security ensures governed distribution, and reports can be archived to S3, Google Drive, or SharePoint for audit and compliance. • 𝗚𝗲𝗻 𝗔𝗜 & 𝗕𝗜 𝗖𝗼𝗽𝗶𝗹𝗼𝘁. Contextual AI Insights generate summaries that regenerate as users filter and drill. BI Copilot accelerates build time by generating chart titles, business-friendly field labels, and complex measures like YoY growth or retention from plain-language input. Custom Report lets end users ask questions in natural language and get visualizations back. Every AI output is grounded in the semantic layer. Bring your own LLM — Snowflake Cortex, OpenAI, Azure OpenAI, Claude by Anthropic, or Google Gemini — or use the default provider. With Snowflake Cortex, queries execute inside the warehouse and data never leaves. Admins control AI features via independent per-capability toggles. • 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. Dashboards can be embedded with full white-label control over colours, fonts, logos, layout, and domain. Authentication is handled via SSO pass-through, OAuth, or token-based access. SCIM and APIs support automated user provisioning at scale. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 𝗰𝗼𝗻𝘁𝗿𝗼𝗹. Role-based access control across view, edit, design, export, and admin. Workbook lifecycle governance with draft, version, publish workflows and change tracking. Row-level security inherited from the warehouse or configured per semantic layer. • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: SOC 2 Type II, ISO 27001 certified, HIPAA compliant, GDPR-ready. Snowflake Technology Partner and Google Cloud Ready – BigQuery. Astrato is used by data teams, product teams, and analytics leaders across SaaS companies, data businesses, agencies, and enterprises. Pricing is structured to scale with embedded use cases involving large numbers of external users. ### What Do G2 Reviewers Say About Astrato? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Astrato, allowing quick and intuitive data exploration without complications. - Users highly value the **exceptional customer support** from Astrato, enhancing their experience and enabling better tool utilization. - Users appreciate the **seamless integrations** of Astrato with various data technologies, enhancing usability for non-technical professionals. - Users benefit from the **efficient learning experience** of Astrato, backed by excellent support and intuitive design. - Users value the **dashboard customization** in Astrato, enabling intuitive, efficient BI solutions for diverse non-technical teams. **Cons:** - Users note the **missing features** in Astrato hinder user experience and challenge data workflow efficiency. - Users encounter **bugs** in Astrato, complicating the experience and challenging the reputation of the data team. - Users find **complex data modeling** challenging, requiring extensive expertise for high-quality results and precise query control. - Users highlight the **complex usage** of Astrato, finding it cumbersome compared to more established tools. - Users find Astrato has a **challenging learning curve** due to bugs and complexity compared to established tools. #### What Are Recent G2 Reviews of Astrato? **"[Intuitive, Flexible Platform for Powerful Data Analysis](https://www.g2.com/survey_responses/astrato-review-12432634)"** **Rating:** 5.0/5.0 stars *— David M.* [Read full review](https://www.g2.com/survey_responses/astrato-review-12432634) --- **"[Real-time insights by getting the most out of whatever sits underneath](https://www.g2.com/survey_responses/astrato-review-12432983)"** **Rating:** 5.0/5.0 stars *— Sergio d.* [Read full review](https://www.g2.com/survey_responses/astrato-review-12432983) --- ### 7. [Qbo](https://www.g2.com/products/qbo/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 31 **Product Description:** Unscrambl’s 'Qbo' is an AI-powered, personal data analyst that allows business users to have natural language conversations with their data. Key features include NLQ, NLG, Automated Insights, machine initiated conversations, and active collaboration. Unscrambl Qbo is available as a native application on Microsoft Teams, deeply leveraging capabilities to enable remote workers with ‘live’ access to insights, storyboards during their work and meetings. ### What Do G2 Reviewers Say About Qbo? *AI-generated summary from verified user reviews* **Pros:** - Users find Qbo to be **intuitive and easy to use** , enhancing accessibility and integration with third-party software. - Users love the **easy integrations** with Qbo, appreciating seamless connectivity and intuitive access from anywhere. - Users value the **efficiency** of Qbo, benefiting from quick reports and reduced manual data entry. - Users love the **seamless integration** with Proconnect, providing intuitive access and efficient report generation from anywhere. - Users value the **automation capabilities** of Qbo for efficient quick report generation and smooth Proconnect integration. **Cons:** - Users feel that **bank reconciliation can be more simplified** , indicating a need for clearer processes within Qbo. - Users find Qbo's **confusing pricing** structure challenging, particularly with high costs for additional features and add-ons. - Users find the **pricing to be higher** than competitors, which can be a drawback with additional add-ons. - Users struggle with the **learning curve** of Qbo, particularly transitioning from the familiarity of QB Desktop. - Users feel the **user interface needs improvement** to enhance attractiveness and usability of Qbo. #### What Are Recent G2 Reviews of Qbo? **"[Best bookkeeping software in last 10 years.](https://www.g2.com/survey_responses/qbo-review-11448639)"** **Rating:** 4.5/5.0 stars *— CA Piyush M.* [Read full review](https://www.g2.com/survey_responses/qbo-review-11448639) --- **"[Best accounting software in this decade.](https://www.g2.com/survey_responses/qbo-review-11545714)"** **Rating:** 5.0/5.0 stars *— Piyush K.* [Read full review](https://www.g2.com/survey_responses/qbo-review-11545714) --- ### 8. [InsightOut](https://www.g2.com/products/insightout/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 49 **Product Description:** InsightOut is a unified data analytics platform from Treehouse Technology Group that enables business teams to do more with their data. Business users can extract insights and value from their data in context and at scale, with self-service simplicity. Our end-to-end data solution aggregates, cleans, and blends fragmented data across departments — no matter the data source or volume — within a visual command center. With purpose-built dashboards and intuitive visualizations, users have a 360° view of the business and can independently manage and analyze data at the speed of thought, without reliance on IT. Beyond data visualization, automated data discovery surfaces actionable business insights from the underlying data. This enables proactive decision-making to accelerate your time to market, mitigate risk, and enhance your operational efficiency. Designed to support the workflows unique to your organization, InsightOut’s dynamic reporting and native Excel add-in fosters data distribution and collaboration throughout your extended enterprise of internal and external stakeholders. By joining best-in-class solutions in business intelligence and business planning, InsightOut empowers business leaders to drive growth and lead with data. Treehouse Technology Group is a technology and data strategy consulting firm, providing data development and software implementation services since 2014. We are a trusted technology partner to the Fortune 500, world-class innovators, and capital market leaders. Our valued customers include Envision Healthcare, Mars Petcare, Fidelity, Teleflex, Bain Capital, Berkshire Partners, and Wynn Resorts. #### What Are Recent G2 Reviews of InsightOut? **"[Great job in field of Transportation and Logistics](https://www.g2.com/survey_responses/insightout-review-8348214)"** **Rating:** 5.0/5.0 stars *— Shivam S.* [Read full review](https://www.g2.com/survey_responses/insightout-review-8348214) --- **"[InsightOut is taking us to the next level of data analytics!](https://www.g2.com/survey_responses/insightout-review-8198660)"** **Rating:** 5.0/5.0 stars *— Greg D.* [Read full review](https://www.g2.com/survey_responses/insightout-review-8198660) --- ### 9. [Mode](https://www.g2.com/products/mode-mode/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 319 **Product Description:** Mode is the first BI platform to embrace the way modern data teams work, which enables data leaders to drive more efficient, higher impact analysis and increased data maturity through true self-service. As the unified intelligence layer, Mode maximizes modern data stack ROI and turns data into a competitive advantage for leading businesses across all sectors and stages. ### What Do G2 Reviewers Say About Mode? *AI-generated summary from verified user reviews* **Pros:** - Users value the **balance between data analysis and self-service exploration** , enhancing usability for both analysts and business users. - Users value the **customization options** in Mode, enhancing usability for different roles and improving feature tracking. - Users find the **ease of implementation** with Mode beneficial, enhancing accessibility and user experience across the organization. - Users value the **ease of use** in Mode, enjoying its clean UI and accessibility for diverse roles. - Users value Mode's **efficiency** in balancing data exploration and analytics, enhancing visibility and tracking across the organization. **Cons:** - Users find **complex setup** challenging, especially for less technical users needing substantial admin support for integration. - Users find **complex usage** challenging, especially for non-technical individuals requiring extensive admin support for integration. - Users find **on-boarding challenging for less technical users** , requiring admin support for effective data source integration. - Users find **difficult learning** curves for less technical users, emphasizing the need for admin support during on-boarding. - Users find **initial difficulty** in onboarding less technical users, requiring admin support for integration and authentication. #### What Are Recent G2 Reviews of Mode? **"[Powerful and Flexible platform for data driven decision making](https://www.g2.com/survey_responses/mode-review-11476277)"** **Rating:** 4.5/5.0 stars *— Gopi k.* [Read full review](https://www.g2.com/survey_responses/mode-review-11476277) --- **"[Outstanding!](https://www.g2.com/survey_responses/mode-review-7980594)"** **Rating:** 5.0/5.0 stars *— Stephan R.* [Read full review](https://www.g2.com/survey_responses/mode-review-7980594) --- ### 10. [ConverSight](https://www.g2.com/products/conversight/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 40 **Product Description:** ConverSight is a Contextual Decision Intelligence Platform, built based on its patented Augmented Conversational AI and Analytics techniques. ConverSight's AI assistant, Athena, delivers business insights by connecting to customer’s data and generating insights & recommendations using machine learning techniques. With ConverSight, businesses are able to implement artificial intelligence in their response planning methods, allowing for better accuracy, stronger decision-making, and smoother reaction times, which ultimately reduces costs and drastically improves the function of the supply chain. ConverSight acts as a Supply Chain Control Tower to help businesses optimize operations, minimize disruptions, and resolve critical issues in real time. ConverSight's AI business assistant, Athena, offers businesses greater data visibility and insights to proactively improve their supply chains and make other accurate, informed decisions ### What Do G2 Reviewers Say About ConverSight? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of ConverSight, enabling quick queries and instant access to vital information. - Users commend the **exceptional customer support** of ConverSight, highlighting their responsiveness and dedication to resolving issues promptly. - Users commend the **efficiency** of ConverSight in seamlessly integrating and analyzing complex data across multiple platforms. - Users appreciate the **user-friendly insights** from ConverSight, enabling effortless cross-channel performance tracking and anomaly detection. - Users appreciate the **seamless integration capabilities** of ConverSight, enabling quick access to vital operational data across systems. **Cons:** - Users find the **complexity** of ConverSight challenging, with difficulties in learning and executing advanced features effectively. - Users find the **learning curve steep** , particularly for advanced features, requiring extra time and effort to master. - Users face **limited customization** in ConverSight, restricting control over data presentation and specific vocabulary understanding. - Users find the **complex usage** of ConverSight challenging, particularly for those unfamiliar with report writing. - Users find **data integration challenging** , with limitations in customization and complications with third-party connections and natural language queries. #### What Are Recent G2 Reviews of ConverSight? **"[It's our practical solution for faster and more consistent reporting](https://www.g2.com/survey_responses/conversight-review-12522561)"** **Rating:** 4.5/5.0 stars *— Ludmila B.* [Read full review](https://www.g2.com/survey_responses/conversight-review-12522561) --- **"[It urns complex data into actionable insights](https://www.g2.com/survey_responses/conversight-review-12467977)"** **Rating:** 4.5/5.0 stars *— Ramon V.* [Read full review](https://www.g2.com/survey_responses/conversight-review-12467977) --- #### What Are G2 Users Discussing About ConverSight? - [What is ConverSight.ai used for?](https://www.g2.com/discussions/what-is-conversight-ai-used-for) ### 11. [Savant Labs](https://www.g2.com/products/savant-labs/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 39 **Product Description:** Savant is an AI automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed workflows, so teams can be more efficient without sacrificing accuracy, control, or compliance. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance is built in, not bolted on: Audit trail, data lineage, SOX controls, and role-based access are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered data automation: Automate any data task end to end — prep, blending, transformation, publishing, and alerting. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Deterministic workflow engine: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail and data lineage: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - User-friendly interface: No SQL, no code, no IT tickets. If your team can use Excel, they can build and run workflows in Savant. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing ### What Do G2 Reviewers Say About Savant Labs? *AI-generated summary from verified user reviews* **Pros:** - Users find Savant Labs to be **incredibly user-friendly** , simplifying data analysis without requiring coding skills. - Users highlight the **excellent customer support** from Savant Labs, which is fast and very helpful. - Users love the **intuitive and user-friendly interface** of Savant Labs, simplifying data analytics for everyone. - Users appreciate the **easy integrations** with Savant Labs, allowing seamless automation and efficiency in data management. - Users appreciate the **scalability** of Savant Labs, finding it easy to integrate and value-rich over time. **Cons:** - Users face a **challenging learning curve** with Savant, requiring time and practice to master the platform effectively. - Users find the **learning difficulty** for Savant Labs steep, requiring time and practice to navigate effectively. - Users face **integration issues** with Savant Labs, making it challenging to update data and link tools effectively. - Users face **access issues** , notably with login difficulties and limited resources for troubleshooting functions and features. - Users experience **difficulties with data management** , such as problems updating sources and finding troubleshooting resources. #### What Are Recent G2 Reviews of Savant Labs? **"[Efficient Analytics Automation with Minor Lag on Large Datasets](https://www.g2.com/survey_responses/savant-labs-review-12720732)"** **Rating:** 4.0/5.0 stars *— Shahul J.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-12720732) --- **"[Savant Review](https://www.g2.com/survey_responses/savant-labs-review-11671945)"** **Rating:** 4.5/5.0 stars *— Jaya prakash P.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-11671945) --- ### 12. [SAS Augmented Analytics & Business Intelligence](https://www.g2.com/products/sas-augmented-analytics-business-intelligence/reviews) **Average Rating:** 4.3/5.0 **Total Reviews:** 68 **Product Description:** SAS offers an integrated, robust and flexible presentation layer for the full breadth of SAS Analytics capabilities #### What Are Recent G2 Reviews of SAS Augmented Analytics & Business Intelligence? **"[SAS BI - APAC LOGISTICS LEADER](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524)"** **Rating:** 4.5/5.0 stars *— Sathish A.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9106524) --- **"[Invulnerable From Conclusion to Conclusion The extreme announcing arrangement for SAP Trade Insights](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320)"** **Rating:** 4.0/5.0 stars *— Akash S.* [Read full review](https://www.g2.com/survey_responses/sas-augmented-analytics-business-intelligence-review-9026320) --- #### What Are G2 Users Discussing About SAS Augmented Analytics & Business Intelligence? - [How much does SAS cost?](https://www.g2.com/discussions/how-much-does-sas-cost) - [What does SAS software do?](https://www.g2.com/discussions/what-does-sas-software-do) - [What does the SAS Intelligence Platform contain?](https://www.g2.com/discussions/what-does-the-sas-intelligence-platform-contain) ### 13. [Board](https://www.g2.com/products/board/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 300 **Product Description:** Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully integrated planning solution spans the entire enterprise, delivering value for financial and operational planning in one unified platform. Using internal data and expert-curated external indicators, Board provides real-time visibility into your business. Board offers the most flexible, collaborative and adaptive user experience, powering executive dashboards and analytic capabilities that allows clear explanation and interpretation delivered through generative AI. This allows organizations to respond in an agile manner: capitalize on opportunities, optimize resources and mitigate risks. ### What Do G2 Reviewers Say About Board? *AI-generated summary from verified user reviews* **Pros:** - Users find BOARD very **easy to use** , enjoying its flexibility and seamless integration for various tasks. - Users value the **flexibility** of Board, enabling customized solutions that streamline business processes and enhance productivity. - Users value the **flexibility and scalability** of Board, finding it easy to customize and integrate for various needs. - Users enjoy the **efficiency** of BOARD, seamlessly managing sales, operations, and merchandising all in one platform. - Users value the **customization** features of BOARD, enabling solutions that fit their unique organizational needs. **Cons:** - Users often face **slow performance** with large datasets and complex data, impacting overall efficiency and usability. - Users find the **steep learning curve** of Board frustrating, impacting usability for smaller teams and infrequent users. - Users note **missing features** in report creation and limited capabilities with lower license levels, impacting overall functionality. - Users experience **poor visualization** and slowness in performance, complicating data analysis and reporting effectiveness. - Users find the **complexity of setup and learning** curves challenging, impacting performance and efficiency with large datasets. #### What Are Recent G2 Reviews of Board? **"[Quick, Very Flexibly and Ease-to-use Planning Tool](https://www.g2.com/survey_responses/board-review-7273494)"** **Rating:** 5.0/5.0 stars *— Verified User in Glass, Ceramics & Concrete* [Read full review](https://www.g2.com/survey_responses/board-review-7273494) --- **"[Almost Unlimited Flexibility Across Data Models, Workflows, and Reports](https://www.g2.com/survey_responses/board-review-12625234)"** **Rating:** 4.5/5.0 stars *— Peter T.* [Read full review](https://www.g2.com/survey_responses/board-review-12625234) --- #### What Are G2 Users Discussing About Board? - [What is Board used for?](https://www.g2.com/discussions/what-is-board-used-for) - 1 upvote ### 14. [Usermaven](https://www.g2.com/products/usermaven/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 93 **Product Description:** Usermaven is a no-code privacy-friendly analytics tool for marketers, product teams and agencies. It has website analytics, product analytics, funnels, journeys, attribution and a mini CRM called contacts-hub to view individual journey of each user. Usermaven helps teams make better, data-driven decisions to grow their business. Say goodbye to guessing and hello to success. ### What Do G2 Reviewers Say About Usermaven? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Usermaven, simplifying data access and enhancing decision-making processes. - Users value the **clear and actionable insights** from Usermaven, enabling faster, data-driven decisions for business growth. - Users value the **actionable insights** from Usermaven, appreciating its clarity and focus on real data. - Users appreciate the **clean, easy-to-use dashboard** of Usermaven, making data analysis accessible and efficient. - Users appreciate the **easy setup** of Usermaven, finding it effortless and efficient for tracking and analytics. **Cons:** - Users are frustrated by the **missing features** , noting limitations on customization and monitoring compared to competitors. - Users find the **learning curve steep** , needing better documentation and tutorials to maximize Usermaven's potential. - Users feel restricted by **plan limitations** , as essential features are only available in higher-tier subscriptions. - Users miss the **lack of real-time monitoring** for website visitors, which is less effective than previous Google Analytics versions. - Users express a need for **difficult customization** , seeking branded options for panels and graphs in Usermaven. #### What Are Recent G2 Reviews of Usermaven? **"[User-friendly analytics and insights](https://www.g2.com/survey_responses/usermaven-review-9531083)"** **Rating:** 5.0/5.0 stars *— Bimbisara P.* [Read full review](https://www.g2.com/survey_responses/usermaven-review-9531083) --- **"[Effortless Setup, Powerful Insights for Marketers](https://www.g2.com/survey_responses/usermaven-review-9557773)"** **Rating:** 4.5/5.0 stars *— Donald C.* [Read full review](https://www.g2.com/survey_responses/usermaven-review-9557773) --- ### 15. [Omniscope Evo](https://www.g2.com/products/omniscope-evo/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 21 **Product Description:** Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transform and explore it, extract insights through ML algorithms, then produce interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one self-service BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation. 🧽 Data Prep, ETL: build workflows to load, stream, blend and transform any data. 🔍 Analytics: leverage machine learning, extract insights and perform visual exploration. 📊 Visualisation: design interactive reports, publish and share your results. 📜 Extensible: augment data pipelines with your Python / R scripts, enhance reports with any JS based visualisation. 🚀 Scalable: big data preparation and live query dashboards on SQL databases. 🤝 Collaboration: multi-user synchronised edits on workflows and dashboards. 🤖 Automation API: schedule parameterised data refresh & report updates, trigger tasks, alerts, edit & query data. 💐 Universal: a fresh and smart experience on any device: Windows, Mac, Linux, Android, iOS. 🏢 Deployment: on-premises or on your cloud. Built-in user permissions / OIDC / SSO 🎨 White-label: host branded data solutions and embedded analytics #### What Are Recent G2 Reviews of Omniscope Evo? **"[Strong ETL building tool with good dashboarding capabilities](https://www.g2.com/survey_responses/omniscope-evo-review-9711987)"** **Rating:** 5.0/5.0 stars *— Kay F.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-9711987) --- **"[The best ETL + Dataviz on the market right now](https://www.g2.com/survey_responses/omniscope-evo-review-4780627)"** **Rating:** 5.0/5.0 stars *— Alex O.* [Read full review](https://www.g2.com/survey_responses/omniscope-evo-review-4780627) --- #### What Are G2 Users Discussing About Omniscope Evo? - [What is Omniscope Evo used for?](https://www.g2.com/discussions/what-is-omniscope-evo-used-for) - 1 comment ### 16. [Sisense](https://www.g2.com/products/sisense/reviews) **Average Rating:** 4.2/5.0 **Total Reviews:** 974 **Product Description:** Sisense is an API-first analytics platform that modernizes businesses by seamlessly integrating in-context analytics within applications, leading to action-oriented insights that enhance decision intelligence. ### What Do G2 Reviewers Say About Sisense? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Sisense, appreciating its simple design and user-friendly experience in BI. - Users benefit from the **easy-to-use data visualization** tools in Sisense, enabling rapid dashboard creation without coding. - Users value the **easy integration** capabilities of Sisense, enabling seamless connections with various systems and databases. - Users commend the **helpful customer support** of Sisense, finding it responsive and accommodating to their needs. - Users value the **easy dashboard customization** in Sisense, enabling rapid development of insightful visualizations. **Cons:** - Users struggle with the **learning curve** of Sisense, finding advanced features and initial training difficult to navigate. - Users find many **missing features** in Sisense, making data customization and reporting cumbersome and unreliable. - Users face challenges with **bugs and support issues** , impacting ease of use and the overall experience with Sisense. - Users face significant **dashboard issues** such as inability to resize columns and frustrating filter access, impacting usability. - Users find the **limited customization** options challenging, especially for advanced dashboard functionalities and large datasets. #### What Are Recent G2 Reviews of Sisense? **"[Empowers Data-Driven Solutions with Customizable Integrations](https://www.g2.com/survey_responses/sisense-review-12686366)"** **Rating:** 5.0/5.0 stars *— Paul V N.* [Read full review](https://www.g2.com/survey_responses/sisense-review-12686366) --- **"[User-Friendly and Functional, Needs More Features](https://www.g2.com/survey_responses/sisense-review-12574166)"** **Rating:** 4.0/5.0 stars *— Sonu .* [Read full review](https://www.g2.com/survey_responses/sisense-review-12574166) --- #### What Are G2 Users Discussing About Sisense? - [What is Sisense used for?](https://www.g2.com/discussions/sisense-what-is-sisense-used-for) - 1 comment - [What is Sisense Healthcare Analytics used for?](https://www.g2.com/discussions/what-is-sisense-healthcare-analytics-used-for) - [What does Sisense cost?](https://www.g2.com/discussions/what-does-sisense-cost) ### 17. [Discern](https://www.g2.com/products/discern/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 21 **Product Description:** Successful businesses are founded on exceptional execution, which is driven by a deep understanding of key performance indicators (KPIs) and data insights. Achieving data clarity is challenging when sales, marketing, customer, billing, and financial data are siloed across disconnected systems and spreadsheets. Enter Discern. We automate the heavy lifting of business performance analytics, such as pipeline tracking, ARR, NRR analytics, and marketing attribution, turning what used to be days of manual reconciliation or years of BI builds into automated, real-time insights. No more wrestling with spreadsheets or questioning your numbers – just clear, consistent performance data you can trust. But we didn't stop there. Because in this new environment, understanding your own performance is only half the story. You also need industry context – and we're not talking about stale benchmarks released annually, but rather straight-from-the-source benchmarks that pick up on market changes just as they begin to manifest. Whether you're running team meetings, fine-tuning your strategy, prepping for a big board meeting, or pitching new investors, Discern helps you operate with confidence. Our combination of automated performance analytics and real-time, system-validated benchmarks gives you the complete story behind your performance, so you can focus on making the decisions that matter. ### What Do G2 Reviewers Say About Discern? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Discern, enabling quick data analysis and streamlined reporting processes. - Users appreciate the **responsive customer support** of Discern, ensuring quick turnarounds and effective implementation guidance. - Users value the **implementation ease** of Discern, transforming reporting processes and enhancing overall efficiency and effectiveness. - Users are impressed by the **efficiency of data analysis** with Discern, drastically reducing time spent on reporting tasks. - Users value the **real-time analytics** of Discern, enabling informed decisions without the hassle of constant inquiries. **Cons:** - Users face **data inaccuracy** issues with Discern, leading to confusion and reliance on support for changes. - Users find the **complexity** of Discern challenging, especially regarding metrics and installation for those with less technical expertise. - Users find the **complex usage** of Discern challenging, especially those lacking technical knowledge or data analysis skills. - Users face a **lack of detail** in understanding metrics, making it difficult for non-technical executives to interpret them. - Users find the **learning curve steep** , requiring advanced knowledge to effectively utilize Discern's metrics and features. #### What Are Recent G2 Reviews of Discern? **"[Marketing Cohort Analytics—A Million Times Easier with Discern](https://www.g2.com/survey_responses/discern-review-11149095)"** **Rating:** 5.0/5.0 stars *— Rick S.* [Read full review](https://www.g2.com/survey_responses/discern-review-11149095) --- **"[Trustworthy ARR Reporting with Flexible, Low-Maintenance Integrations](https://www.g2.com/survey_responses/discern-review-12730296)"** **Rating:** 4.5/5.0 stars *— Nick Z.* [Read full review](https://www.g2.com/survey_responses/discern-review-12730296) --- ### 18. [DataGPT](https://www.g2.com/products/datagpt/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 16 **Product Description:** DataGPT is the world's first conversational AI analyst enabling users to ask any questions about their data in natural language and receive complete answers within seconds. DataGPT is fully autonomous chatbot with memory, capable of answering complex questions like "why did revenue drop?" and having any data-related conversation with any user. DataGPT revolutionizes data analysis by letting you talk directly with your data, delivering instant, analyst-grade insights for smarter business decisions. Our customers experience significant revenue growth and cost reduction, resulting in an average ROI of 2,178% per quarter. How it works: 1. Connects to any Data Source - Easily connect, define your schema, and create a single source of truth for all users. 2. Analyst-Quality Answers - DataGPT performs expert-level analysis across every segment in your data. 3. Instant Responses - DataGPT queries millions of data points 100x faster than current data warehouses. 4. Explore and Drill into your Data - With each DataGPT answer, the Data Navigator allows further exploration and exhaustive drill down capabilities. DataGPT is a product developed and owned by Comparative, Inc. ### What Do G2 Reviewers Say About DataGPT? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficiency** of DataGPT in refining large data sets effortlessly and accurately. **Cons:** - Users note a **lack of detail** in DataGPT, sometimes omitting important data that may be necessary. #### What Are Recent G2 Reviews of DataGPT? **"[Filtering Data With Perfection](https://www.g2.com/survey_responses/datagpt-review-11741959)"** **Rating:** 5.0/5.0 stars *— Vishakha V.* [Read full review](https://www.g2.com/survey_responses/datagpt-review-11741959) --- **"[An AI Analytics Platform Powered by its Helpful Employees](https://www.g2.com/survey_responses/datagpt-review-9933737)"** **Rating:** 4.0/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/datagpt-review-9933737) --- ### 19. [Draxlr](https://www.g2.com/products/draxlr/reviews) **Average Rating:** 4.8/5.0 **Total Reviews:** 13 **Product Description:** Draxlr is a self-service Business intelligence tool that brings visibility to your business. It connects with all major SQL databases like Postgres, MySQL, MSSQL, Redshift, BigQuery, YugaByte, PlanetScale, and more. You can generate insightful dashboards and get alerts when something critical changes in your business. You can also share dashboards with ease with various available options. ### What Do G2 Reviewers Say About Draxlr? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Draxlr, enjoying its intuitive setup and flexibility for data visualization. - Users find the **customer support** of Draxlr to be quick and helpful, enhancing their overall experience. - Users appreciate the **user-friendly charting features** of Draxlr, making dashboard creation easy and visually appealing. - Users praise the **easy-to-use data visualization** of Draxlr, which greatly supports business growth and insights. - Users find Draxlr's **setup ease** exceptional, allowing quick implementation and efficient dashboard creation for all users. **Cons:** - Users find the **user management** for internal collaborators a bit challenging initially, requiring time to adjust. - Users desire more **customization options** for polar and radar graphs in Draxlr to enhance their experience. #### What Are Recent G2 Reviews of Draxlr? **"[Easy to Use with All the Features I Need](https://www.g2.com/survey_responses/draxlr-review-12746100)"** **Rating:** 5.0/5.0 stars *— Daniel P.* [Read full review](https://www.g2.com/survey_responses/draxlr-review-12746100) --- **"[Exactly what we needed for embedded analytics at a fair price](https://www.g2.com/survey_responses/draxlr-review-12752067)"** **Rating:** 4.5/5.0 stars *— Jayesh M.* [Read full review](https://www.g2.com/survey_responses/draxlr-review-12752067) --- ### 20. [DataWalk](https://www.g2.com/products/datawalk/reviews) **Average Rating:** 4.7/5.0 **Total Reviews:** 12 **Product Description:** DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. #### What Are Recent G2 Reviews of DataWalk? **"[Great analytics tool](https://www.g2.com/survey_responses/datawalk-review-8477873)"** **Rating:** 4.0/5.0 stars *— veeresh g.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8477873) --- **"[DataWalk is the best way to integrate complex dashboards](https://www.g2.com/survey_responses/datawalk-review-8553280)"** **Rating:** 5.0/5.0 stars *— Lisa L.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8553280) --- ### 21. [Klipfolio](https://www.g2.com/products/klipfolio/reviews) **Average Rating:** 4.5/5.0 **Total Reviews:** 239 **Product Description:** Klipfolio Klips is a dashboard and reporting platform that lets you build real-time, pixel-perfect data visualizations and distribute powerful custom dashboards and reports. It allows teams and businesses to connect, model, and visualize data from multiple sources in one place, helping your team or your clients make informed, data-driven decisions. Product Category Klips falls under the category of business intelligence and dashboard software, specifically designed to create dynamic, customizable data visualizations. It focuses on empowering small and mid-sized businesses with accessible, real-time analytics to unify their data for better insights and performance tracking. Klipfolio Klips is ideal for: - Small and Mid-Sized Businesses: Teams looking for a cost-effective way to gain actionable insights and improve decision-making with custom dashboards. - Data Analysts: Professionals who need flexible tools to model, visualize, and distribute metrics to stakeholders. - Client-Focused Organizations: Agencies or teams who want to create professional, branded dashboards for their clients. Klipfolio Klips helps businesses gain a single source of truth for their data with: - Real-Time Dashboards: Build highly customizable dashboards that update in real-time to track business performance. - Wide Data Integration: Connect to hundreds of services, APIs, databases, and spreadsheets for seamless data aggregation. - Data Modeling Tools: Transform, combine, and format data within Klipfolio to prepare it for analysis. - Customizable Visualizations: Create pixel-perfect charts, graphs, and visualizations tailored to your unique needs. - Accessible Reports: Share insights through PDF reports, scheduled emails, or published dashboard links for external access. - With Klips, teams can centralize their data, ensure consistency, and access insights anytime, anywhere, helping them make smarter, more informed decisions. ### What Do G2 Reviewers Say About Klipfolio? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **smooth integration capabilities** of Klipfolio, enhancing their dashboard experience effortlessly. - Users commend the **responsive customer support** of Klipfolio, which ensures they never feel stuck when issues arise. - Users find Klipfolio to be **super easy to understand** , enhancing their ability to connect and utilize data effectively. - Users appreciate the **ease of use** of Klipfolio, enjoying smooth connections and quick support whenever needed. - Users enjoy the **intuitive interface** of Klipfolio, appreciating its clean design and seamless integration capabilities. **Cons:** - Users find the **limited chart functionality** of Klipfolio insufficient for more complex data analysis needs. #### What Are Recent G2 Reviews of Klipfolio? **"[Klipfolio Review](https://www.g2.com/survey_responses/klipfolio-review-11750230)"** **Rating:** 5.0/5.0 stars *— sumeet y.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-11750230) --- **"[All the Pertinent Data at a Glance—Very Helpful](https://www.g2.com/survey_responses/klipfolio-review-12383725)"** **Rating:** 5.0/5.0 stars *— Martin S.* [Read full review](https://www.g2.com/survey_responses/klipfolio-review-12383725) --- #### What Are G2 Users Discussing About Klipfolio? - [What is Klipfolio used for?](https://www.g2.com/discussions/what-is-klipfolio-used-for) ### 22. [Business Pulse](https://www.g2.com/products/business-pulse/reviews) **Average Rating:** 4.9/5.0 **Total Reviews:** 11 **Product Description:** Business Pulse, Chat based business intelligence platform Features: 1. Natural  Language Data Chat: Ask questions in plain English, no SQL or technical skills required. 2. Trainable, Context-Aware AI: Tailor the platform to your business by defining KPIs, domain-specific terms, and validation rules. Responses can be customized per team, and the AI improves over time through feedback. 3. Transparent, Self-Service Analytics: Empower teams, founders, marketers, product managers, ops to explore data independently, fostering data-driven decision-making across the business. 4. Exportable Insights: Convert AI-generated answers into charts, spreadsheets, or reports, perfect for meetings, reviews, or presentations. 5. Customizable Onboarding & Setup: Whether you need a fully managed solution or need assistance designing a data warehouse and semantic layer, tailored onboarding is available. 6. Secure, Compliant Data Handling: Data remains within your cloud infrastructure. Business Pulse connects securely to your semantic layer without moving data, and supports enterprise-grade security including encryption, access control, monitoring, and SOC 2 compliance in progress. 7. Wide Data Source Support: Integrates with major cloud data warehouses (BigQuery, Snowflake, Redshift) and relational databases (PostgreSQL, MySQL, SQL Server), with custom connectors available at no extra cost. Benefits: 1. Quick Business Insights for Everyone: Teams get answers in seconds, just by chatting. No BI training, dashboards, or technical barriers. 2. Faster, Smarter Decisions: Real-time access to trusted insights means faster pivots, better forecasting, and more confident choices. 3. Save Data Team Resources: Reduce the volume of ad hoc reporting requests and empower data teams to focus on high-leverage work. 4. Customizable to Fit Any Business: Define your own metrics, filters, and governance controls to ensure insights reflect how your business runs. 5. Enterprise-Ready from Day One: Built with compliance, scalability, and security in mind for organizations of any size Who Is It for? 1. Business Decision-Makers: Founders, executives, department heads needing instant answers to business questions 2. Non-Technical Teams: Marketing, product, operations, customer success, HR, and finance teams that rely on insights but don’t use BI tools 3. Data Analysts & Engineers: Looking to scale impact by enabling self-service across the org, without sacrificing governance 4. Consultants & Agencies: Deliver client-facing insights faster and with less manual effort 5. Enterprise IT & BI Teams: Wanting a secure, compliant conversational layer on top of existing infrastructure ### What Do G2 Reviewers Say About Business Pulse? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficiency** of Business Pulse, enabling instant access to vital campaign and customer insights effortlessly. - Users value the **ease of use** of Business Pulse, allowing effortless access to insights through simple questions. - Users value the **instant insights** from Business Pulse, enabling quick evaluations of campaigns and data-driven decisions. - Users value the **seamless integration of data** in Business Pulse, allowing for quick and clear insights via chat. - Users value the **ease of understanding** in Business Pulse, receiving clear insights quickly and effortlessly. **Cons:** - Users find the **learning curve challenging** as crafting complex questions can be difficult and time-consuming. - Users wish for more **customization options** in Business Pulse, particularly for enhanced team-wide reporting display. - Users suggest that there are **pricing issues** with Business Pulse that could be improved for better value. #### What Are Recent G2 Reviews of Business Pulse? **"[Our IT Company’s Trusted AI Partner](https://www.g2.com/survey_responses/business-pulse-review-11598936)"** **Rating:** 5.0/5.0 stars *— Sheri L.* [Read full review](https://www.g2.com/survey_responses/business-pulse-review-11598936) --- **"[A must-have tool for RevOps visibility and efficiency](https://www.g2.com/survey_responses/business-pulse-review-11673579)"** **Rating:** 5.0/5.0 stars *— Dylan W.* [Read full review](https://www.g2.com/survey_responses/business-pulse-review-11673579) --- ### 23. [PopSQL](https://www.g2.com/products/popsql/reviews) **Average Rating:** 4.6/5.0 **Total Reviews:** 80 **Product Description:** PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery. Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights. \* Cross-platform compatibility with macOS, Windows, and Linux \* Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more #### What Are Recent G2 Reviews of PopSQL? **"[Seamless SQL Querying Experience with popSQL. Very User Friendly and Veryuseful Application](https://www.g2.com/survey_responses/popsql-review-8458017)"** **Rating:** 5.0/5.0 stars *— Subhadip K.* [Read full review](https://www.g2.com/survey_responses/popsql-review-8458017) --- **"[PopSQL is the most seamless database client out there!](https://www.g2.com/survey_responses/popsql-review-8478059)"** **Rating:** 5.0/5.0 stars *— Eshwaran V.* [Read full review](https://www.g2.com/survey_responses/popsql-review-8478059) --- #### What Are G2 Users Discussing About PopSQL? - [What is your primary use case for PopSQL, and how does it enhance collaboration in your team?](https://www.g2.com/discussions/what-is-your-primary-use-case-for-popsql-and-how-does-it-enhance-collaboration-in-your-team) ### 24. [panintelligence](https://www.g2.com/products/panintelligence/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 50 **Product Description:** Expand ARR and accelerate your product roadmap with secure, Generative Business Intelligence (GenBI). At Panintelligence, we bring over 10 years of expertise in helping 400+ global customers unlock deeper insights, reduce technical debt, and drive data-driven growth. Our platform seamlessly integrates with your existing data infrastructure, providing your users with an intuitive, immersive experience. Low Code for Developers: We minimize development effort, allowing your team to focus on innovation and accelerate your roadmap. No Code for Users: We empower users to explore data independently, leveraging Generative BI to surface insights without technical expertise. By embedding Panintelligence, you enable self-service analytics while future-proofing your platform. Our partnership-driven approach ensures your business stays ahead with secure, scalable, and cutting-edge GenBI. Unlock the full potential of your data with Panintelligence – the Generative BI leader for organizations worldwide. ### What Do G2 Reviewers Say About panintelligence? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **excellent customer support** from Panintelligence, fostering a true partnership in their data journey. - Users value the **ease of use** of Panintelligence, enabling quick insights and seamless data visualizations. - Users value the **flexibility of customizable charts and dashboards** that cater to diverse organizational needs and audiences. - Users value the **flexibility in dashboard customization** , allowing tailored designs for various needs and seamless integration. - Users value the **flexibility** of Panintelligence, allowing customized dashboards and seamless integration for diverse needs. **Cons:** - Users find that the **limited chart functionality** in Panintelligence makes advanced visualizations frustrating and time-consuming. - Users find **limited customization** options with Panintelligence, restricting control over chart styles and user interface. - Users find the **initial difficulty** of configuring charts frustrating, complicating their experience with Panintelligence. - Users find the **learning curve steep** , making chart creation and configuration frustrating and time-consuming initially. - Users find **learning difficulty** in setting up charts and separating modules, complicating their overall experience. #### What Are Recent G2 Reviews of panintelligence? **"[The Panintelligence team are incredibly helpful, easy to work with, and always quick to respond.](https://www.g2.com/survey_responses/panintelligence-review-11387943)"** **Rating:** 4.0/5.0 stars *— Stewart B.* [Read full review](https://www.g2.com/survey_responses/panintelligence-review-11387943) --- **"[User-Friendly BI Platform with Excellent Support and Seamless Integration](https://www.g2.com/survey_responses/panintelligence-review-12088298)"** **Rating:** 4.0/5.0 stars *— Verified User in Electrical/Electronic Manufacturing* [Read full review](https://www.g2.com/survey_responses/panintelligence-review-12088298) --- #### What Are G2 Users Discussing About panintelligence? - [What is panintelligence used for?](https://www.g2.com/discussions/what-is-panintelligence-used-for) ### 25. [Databox](https://www.g2.com/products/databox-databox/reviews) **Average Rating:** 4.4/5.0 **Total Reviews:** 189 **Product Description:** Databox is an AI-powered business intelligence and analytics platform for teams that need clear, trusted answers fast. It helps growing companies and agencies move from dashboards to decisions by connecting directly to the tools they already use, standardizing metrics, and making performance easier to understand in the moment. It provides a blend of powerful, but easy-to-use features like: - Connect: Sync all your data from 130+ software tools, APIs, Databases or custom Spreadsheets in seconds. - Data prep (datasets): Curate, prepare, and merge raw data from multiple sources, so your team can analyze with more depth, confidence, and clarity later. - Metrics & KPIs: Track all your company's metrics and KPIs in one place. - Dashboards: Visualize performance in real-time with interactive dashboards (custom or pre-built templates) you can share with anyone. - Reports: Create custom presentations of your data that update automatically. - Goals: Set realistic goals based on historical data, monitor your progress, then achieve them. - Forecast: Forecast what future performance will be for any metric, and see the best and worst-case scenarios. - Genie, AI-Analyst: Ask questions about your performance and get clear, contextual answers in seconds so you can make decisions faster. More than 20,000 growing businesses and agencies use Databox to align teams, save time, and inform predictable growth. ### What Do G2 Reviewers Say About Databox? *AI-generated summary from verified user reviews* **Pros:** - Users find Databox to provide **ease of use** by consolidating critical business metrics from multiple platforms seamlessly. - Users appreciate the **seamless integrations** of Databox, enabling easy access to critical business metrics in one place. - Users love the **easy integrations** of Databox, seamlessly connecting multiple systems for comprehensive dashboards and reports. - Users value the **quick and effective customer support** from Databox, making problem-solving a breeze. - Users value the **impressive AI summary feature** of Databox, ensuring reports are insightful and always up to date. **Cons:** - Users noted that while Databox offers great integrations, it suffers from **connection issues** for specific industry needs. - Users feel that while Databox has major integrations, it requires more connections to address **connectivity issues** in various industries. - Users are frustrated with Databox's **expensive and misleading billing practices** that result in unauthorized charges. - Users criticize **expensive pricing** and misleading billing practices, leading to frustration and potential loss of customer trust. - Users find the **learning curve challenging** , yet acknowledge significant time-saving benefits once adapted. #### What Are Recent G2 Reviews of Databox? **"[Game-Changer for Reporting and Performance Tracking](https://www.g2.com/survey_responses/databox-review-11137623)"** **Rating:** 5.0/5.0 stars *— Marc W.* [Read full review](https://www.g2.com/survey_responses/databox-review-11137623) --- **"[Efficient Reporting but Needs Broader Integrations](https://www.g2.com/survey_responses/databox-review-12676478)"** **Rating:** 4.0/5.0 stars *— Stephanie O.* [Read full review](https://www.g2.com/survey_responses/databox-review-12676478) --- ## What Is Analytics Platforms? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Analytics Platforms? - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Predictive Analytics Software](https://www.g2.com/categories/predictive-analytics) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) --- ## How Do You Choose the Right Analytics Platforms? ### What You Should Know About Analytics Platforms ### What are analytics software platforms? Analytics platforms, also known as business intelligence (BI) platforms, enable companies to gain visibility into their data through data integration, cleansing, blending, enrichment, discovery, and more. These tools are robust systems that sometimes require IT and data science skills to access and decipher company data through custom queries.  Analytics platforms offer a comprehensive look into a company’s data by pulling from structured and unstructured data sources through detailed queries. Casual business users also benefit from analytics platforms, which offer customizable dashboards and the ability to drill into particular data points and trends. ### What types of analytics tools and platforms exist? #### **All-in-one software** ##### **Self-service analytics platforms** Self-service analytics platforms do not require coding knowledge, so business end users can use them for data needs. Cloud-based business analytics software often provides drag-and-drop functionality for building dashboards, prebuilt templates for querying data, and, occasionally, natural language querying for data discovery.  ##### **Embedded BI software** Embedded BI software can integrate proprietary analytics functionality within other business applications. Businesses may choose an embedded product to promote user adoption; by placing the analytics inside regularly used software, companies enable employees to take advantage of available data. These solutions provide self-service functionality so average business end users can use data for improved decision-making. #### **Point solutions** ##### **Root cause analysis** Companies of all sizes produce vast amounts of data from a host of different sources. It can be difficult to keep track of the ebbs and flows of data and to spot outliers and trends across tens if not hundreds (sometimes even thousands) of data sources. Some solutions provide the user with a bird' s-eye view of their data and intelligently alert them to changes in real time. Once alerted, they are able to dive in to evaluate the situation and solve it. ### What are the common features of analytics solutions? Analytics software platforms are a great aid to any organization needing timely data visualization of high-level analytics. The following are some core features within analytics platforms that can help users make the most of them: **Data preparation:**  Although standalone [data preparation software](https://www.g2.com/categories/data-preparation) exists that assists in discovering, blending, combining, cleansing, and enriching data—so large datasets can be easily integrated, consumed, and analyzed—analytics platforms must incorporate these functionalities into their core offering. In particular, analytics platforms must support data blending and modeling, allowing the end user to combine data across different databases and other data sources and to develop robust data models of this data. This is a critical step in making meaning out of the chaos by combining data from various sources. **Data management:** Once the data is properly integrated, it must be managed. This includes restricting data access to certain users, for example. Although some companies opt for a standalone data management solution, such as a data warehouse, analytics platforms must, by definition, provide some level of data management. **Data modeling and blending:** As mentioned, it is not efficient and often not effective to examine data when it is sprawled across many systems. As a business cloud, analytics platforms help businesses consolidate data and combine data points to understand the relationship between data and derive deep insights. **Reports and dashboards:** Multilayered, real-time dashboards are a central feature of analytics platforms. Users can program their analytics software to display metrics of their choice and create multiple dashboards that show analytics related to specific teams or initiatives. From predictive website traffic analytics to customer conversion rates over a specified period, users can choose their preferred metrics to feature in dashboards and create as many dashboards as necessary.  Administrators can adjust the permissions of different dashboards so they are accessible to the users in the company who need them the most. Users can share specific dashboards on office monitors or take screengrabs of dashboards to save and share as needed. Some analytics platform products may allow users to explore dashboards on their mobile devices. [**Self service**](https://www.g2.com/categories/analytics-platforms/f/self-service) **:** Organizations use these tools to build interactive dashboards for discovering actionable insights. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. **Advanced analytics:** Many analytics solutions are incorporating advanced features, sometimes called augmented analytics, to better understand a business’s data, even without IT support. These can include predictive analytics capabilities and data discovery, which includes intelligent suggestions for data visualization and machine learning-powered suggestions for deeper insights. Other features include [Anomaly detection](https://www.g2.com/categories/analytics-platforms/f/anomaly-detection), [Query based](https://www.g2.com/categories/analytics-platforms/f/query-based), [Search](https://www.g2.com/categories/analytics-platforms/f/search), [Traditional](https://www.g2.com/categories/analytics-platforms/f/traditional) ### What are the benefits of using analytics platforms? **Replace old or disparate software:** Businesses can replace outdated data storage solutions and reporting tools and migrate to an all-inclusive business cloud as an analytics platform. However, data migration is not essential for deploying an analytics solution, as businesses may not have the time or resources to do so. Therefore, it should be noted that these platforms can integrate with a whole host of solutions, such as [enterprise resource planning (ERP)](https://www.g2.com/categories/erp-systems) and [customer relationship management (CRM) software](https://www.g2.com/categories/crm). **Improve productivity:** The days of sorting through tens, if not hundreds, of systems and needing immense support from IT have passed. With analytics platforms (especially those that are self-service and have features such as natural language search), anyone looking for data and data analysis, including average business users, can derive insights from their data. **Save time (automation):** For most analytics platforms, users no longer need a strong background in query languages. Instead, data discovery and root cause analysis allow users to automatically receive alerts and insights into their data and get notified if the data has changed meaningfully. **Reduce errors:** Although standalone data preparation tools may be the right solution for businesses with particularly complex data, analytics platforms allow users to clean and prepare their data through data mapping and deduplication methods. **Consolidate data:** In this data-driven era, essentially every program and device a business has produces massive data. To understand this diverse data in the best way possible, combining it through methods such as data blending, which allows users to integrate data from multiple sources into a functioning dataset, is often necessary. **Improve processes:** Without an analytics platform to be used across a business, processes can be slow and inefficient as interested parties seek data from disparate sources and request data from various people. Analytics platforms can help a business user quickly access data and data analysis and share it with internal and external stakeholders. ### **Who uses analytics tools?** Analytics platforms can have both internal and external users.  #### **Internal users** **Data analysts and data scientists:** These employees are generally the power users of analytics tools, creating complex queries inside the platforms to gather a deeper understanding of business-critical data. These teams may also be tasked with building self-service dashboards to distribute to other teams. **Sales teams:** Sales teams use self-service analytics tools and embedded analytics solutions to obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. **Marketing teams:** Marketing teams often run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns. Analytics tools allow marketing teams to track the performance of those campaigns in one central location. **Finance teams:** Finance teams leverage analytics software to gain insight into the factors impacting an organization's bottom line. By integrating financial data with sales, marketing, and other operations data, accounting and finance teams pull actionable insights that might not have been uncovered using traditional tools. **Operations and supply chain teams:** Analytics solutions often utilize a company's ERP system as a data source. These applications track everything from accounting to supply chain and distribution; supply chain managers can optimize several processes to save time and resources by inputting supply chain data into an analytics platform.  #### **External users** **Consultants:** Businesses, especially larger ones, do not always understand the breadth and depth of their data, perhaps not even knowing where to begin. An external consultant wielding a powerful analytics platform can help businesses better understand their data and, as a result, make more informed business decisions.  Users may consider contacting [BI consulting partners](https://www.g2.com/categories/business-intelligence-bi-consulting) to help determine the most relevant analytics and data to capture about their company’s overall success. Following a proper consultation, these agencies may offer assistance with setting up or choosing BI tools. A number of these agencies can assist businesses with the entire BI process, from complete data analysis to the shaping of processes or protocols related to data collection. A relationship with these consultants can prove highly beneficial for users who have never performed data analysis before or want to optimize their company’s reporting. **Partners:** Partnerships between companies often involve data sharing and cross-company collaboration. As a result, a centralized repository of data, which would allow for data management, data querying, and data insights, can provide an essential tool for these businesses to succeed together, providing them with a birds-eye view of their data. ### **What are the alternatives to analytics platforms?** Alternatives to analytics platforms can replace this type of software, either partially or completely: [**Marketing analytics software**](https://www.g2.com/categories/marketing-analytics) **:** Businesses looking for tools geared toward marketing use cases and marketing data (e.g., related to targeting prospects) should look at marketing analytics solutions that are purpose-built for this. [**Sales analytics software**](https://www.g2.com/categories/sales-analytics) **:** Although sales data such as revenue forecasts and closed deals can be imported and analyzed in general-purpose analytics platforms, sales analytics platforms can provide a more granular analysis of sales-related data and might have better integrations with sales tools such as CRMs.  [**Log analysis software**](https://www.g2.com/categories/log-analysis) **:**  If a business wants to focus on analyzing its log data from applications and systems, it could benefit from log analysis software, which helps enable the documentation of application log files for records and analytics. [**Predictive analytics software**](https://www.g2.com/categories/predictive-analytics) **:** Broad-purpose analytics platforms allow businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Since analytics platforms allow for these different types of analyses, they might not provide the most robust features for any type. Therefore, businesses focused on looking at past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  [**Text analysis software**](https://www.g2.com/categories/text-analysis) **:** Analytics platforms are focused on structured or numerical data, allowing users to drill down and dig into numbers to inform business decisions. Text analysis solutions are the best bet if the user is looking to focus on unstructured or text data. These tools help users quickly understand and pull sentiment analysis, key phrases, themes, and other insights from unstructured text data. [**Data visualization software**](https://www.g2.com/categories/data-visualization) **:** Data visualization tools can be an excellent place for businesses to start when looking to better understand their data. With capabilities including dashboards and reporting, data visualization software can often be quick and easy to set up and is frequently cheaper than more robust analytics platforms.  However, it is essential to recognize their limitations. Data visualization solutions do what they say on the box: visualization. They do not give the user an end-to-end analytics solution from data preparation to data insights, nor do they provide significant data management capabilities. ### **Software and services related to analytics platforms** Related solutions that can be used together with analytics platforms include: [**Embedded business intelligence software**](https://www.g2.com/categories/embedded-business-intelligence) **:** Analytics platforms are standalone platforms that help companies analyze data. Businesses who want to build analytics capabilities into applications, whether that be for internal or external use, can use embedded BI software to accomplish this goal. [**Database software**](https://www.g2.com/categories/database-software) **:** There are a plethora of solutions for storing, organizing, and sharing large amounts of data that can later be accessed and analyzed by analytics tools. Database software includes everything from [big data software](https://www.g2.com/categories/big-data) to traditional table-based [relational databases](https://www.g2.com/categories/relational-databases). Businesses should research and implement whichever database tools make the most sense for their particular data types or analytical needs.  When considering an analytics solution, users should investigate which databases can integrate with the tool to make the most logical product choice for their situation. Analytics products would not serve much purpose without one or more company databases to pull data from when the time comes. ### Challenges with analytics platforms **Configuration:** Analytics solutions may have a highly technical setup process, requiring IT or developmental expertise. When trying to implement one of these platforms without an in-house data scientist or IT professional, users may struggle with getting the technology off the ground, integrating it with the appropriate solutions, and creating queries for data collection. This could mean a significant loss of resources and an inability to use the tool as intended. Users can contact BI consulting providers for assistance setting up a program or, in some cases, for handling the entirety of BI reporting. **Overreliance:** Focusing too much on data and analytics can also be problematic. Data-driven decisions are critical to a business’s success, but data-only decisions ignore the various voices from within and without the organization. Successful companies combine rigorous analytics with anecdotal storytelling and thoughtful conversations about the business's success and components. **Integrations:** If the analytics tool does not fully integrate with existing software, getting a complete view of a business’s operational performance becomes challenging. Similarly, if an integration experiences a communication error or other issue during a data query, it causes an incorrect or incomplete reading. Users should make a point to monitor these connections and any potential performance issues throughout their software stack to ensure that correct, complete, and up-to-date information is being processed and displayed on dashboards. **Data security:** Companies must consider security options to ensure the right users see the correct data and guarantee strict data security. Effective analytics solutions should offer security options that enable administrators to assign verified users different levels of access to the platform based on their security clearance or level of seniority. ### How to choose the best analytics tools #### Requirements Gathering (RFI/RFP) for Analytics Platforms If a company is just starting and looking to purchase the first analytics platform, or maybe an organization needs to update a legacy system--wherever a business is in its buying process, g2.com can help select the best analytics platform. The particular business pain points might be related to all the manual work that must be completed. If the company has amassed a lot of data, it needs to look for a solution that can grow with the organization. Users should think about the pain points and jot them down; these should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees needing this software, as this drives the number of licenses they will likely buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist is a detailed guide with necessary and nice-to-have features, including budget, features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the deployment scope, producing an RFI, a one-page list with a few bullet points describing what is needed from an analytics platform might be helpful. #### Compare Analytics Platforms Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are essential to the software buying process. For ease of comparison, after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow the list of vendors and come up with a shorter list of contenders, preferably no more than three to five. With this list, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and datasets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of analytics platforms **Choose a selection team** Before getting started, creating a winning team that will work together throughout the process, from identifying pain points to implementation, is crucial. The software selection team should consist of organization members with the right interests, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill roles such as the primary decision maker, project manager, process owner, system owner, or staffing subject matter expert, as well as a technical lead, IT administrator, or security administrator. The vendor selection team may be more minor in smaller companies, with fewer participants, multitasking, and taking on more responsibilities. **Analyze the data** As analytics platforms are all about the data, the user must ensure that the selection process is also data-driven. The selection team should compare notes and facts and figures that they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page does not mean it is gospel (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to discount multiyear contracts or recommend the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection was correct. If not, it might be time to return to the drawing board. ### How much do analytics software platforms cost? As mentioned above, analytics platforms come as both on-premises and cloud solutions. Pricing between the two might differ, with the former often coming with more upfront costs for setting up the infrastructure.  As with any software, analytics platforms are frequently available in different tiers, with the more entry-level solutions costing less than the enterprise-scale ones. The former will often not have as many features and may have caps on usage. Vendors may have tiered pricing, in which the price is tailored to the users’ company size, the number of users, or both. This pricing strategy may come with some support, which might be unlimited or capped at a certain number of hours per billing cycle. Once set up, analytics platforms, especially those deployed in the cloud, do not often require significant maintenance costs. As these platforms often come with many additional features, businesses looking to maximize the value of their software can contract third-party consultants to help them derive insights from their data and get the most out of the software. #### Return on Investment (ROI) Businesses deploy analytics platforms to derive a return on investment (ROI). As they are looking to recoup the losses they spent on the software, it is critical to understand its costs. As mentioned above, analytics platforms are typically billed per user, sometimes tiered, depending on the company size. More users will generally translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained in terms of efficiency and revenue. Therefore, businesses can compare processes between pre- and post-deployment software to understand better how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate the gains they have seen from using an analytics tool. ### Implementation of analytics software solutions **How are analytics software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether an implementation specialist from the vendor or a third-party consultancy. With vast experience under their belts, they can help businesses understand how to connect and consolidate their data sources and use the software efficiently and effectively. **Who is responsible for analytics platform implementation?** Properly deploying an analytics platform may require many people or teams. This is because, as mentioned, data can cut across teams and functions. As a result, one person or even one team rarely has a complete understanding of all of a company’s data assets. With a cross-functional team, a business can begin to piece together its data and begin the analytics journey, starting with proper data preparation and management. ### Emerging trends related to analytics platforms **Increase data accessibility** Business data is no longer locked up in silos. With analytics platforms, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) tools](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data more accessible and powerful, providing more accurate results. With the amount of data accessible to businesses today, it is a near necessity that they implement some type of analytics software to understand and act on that data better. Implementing analytics software has been a significant initiative for companies undergoing digital transformation, as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large datasets collected from various sources. **Shift from on-premises to cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons, such as time to insight. Moving away from on-premises infrastructure has helped many companies enable data work anywhere one has access to the cloud—anywhere with internet access. However, not all data users have the luxury of working in the cloud for several reasons, including data security and issues related to latency. In industries such as health care, strict regulations such as the [Health Insurance Portability and Accountability Act (HIPAA)](https://learn.g2.com/health-insurance-portability-and-accountability-act) require data to be secure. Although it is possible to ensure this security in the cloud, it can be more complicated. **Conversational AI** Historically, to query data within an analytics solution, users needed to master a query language like SQL. With the rise of conversational interfaces, users uncover the data and insights they seek using intuitive language. Intuitive methods of querying data enable a larger user base to access and make sense of company data. **Machine learning** AI is quickly becoming a promising feature of analytics solutions throughout the data journey, from ingestion to insights. From AI-powered data preparation to smart insights, in which the platform suggests visualizations to the end user, analytics platforms are quickly becoming more powerful. Machine learning is helping end users discover hidden insights, allowing them to make sense of data and understand what they are seeing.