--- title: Microsoft Power BI Reviews meta_title: 'Microsoft Power BI Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 1643 reviews by the users' company size, role or industry to find out how Microsoft Power BI works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 1643 scale: '5' date_modified: '2026-06-26' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # Microsoft Power BI Reviews **Vendor:** Microsoft **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 1,643 ## About Microsoft Power BI Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded. ## Microsoft Power BI Pros & Cons **What users like:** - Users find Microsoft Power BI **easy to use** , appreciating its intuitive interface and seamless data integration capabilities. (137 reviews) - Users commend the **data visualization capabilities** of Microsoft Power BI, enhancing insights and analysis across large datasets. (125 reviews) - Users value the **sophisticated integrations** in Power BI, enabling effortless data access and enhanced functionality. (66 reviews) - Users appreciate the **effortless data transformation** in Microsoft Power BI, enhancing insights and decision-making with interactive visuals. (63 reviews) - Users appreciate the **powerful charting features** of Microsoft Power BI, enhancing their reporting with easy-to-understand visuals. (49 reviews) - Users appreciate the **data integration capabilities** of Power BI, effortlessly connecting to various data sources for analysis. (49 reviews) - Setup Ease (46 reviews) - Data Analysis (40 reviews) - Users value the **easy integrations** of Microsoft Power BI, seamlessly connecting with Microsoft products and various data sources. (40 reviews) - Efficiency (40 reviews) **What users dislike:** - Users find the **learning curve steep** due to DAX complexity and challenges in optimizing large datasets. (75 reviews) - Users experience **slow performance** with Microsoft Power BI when dealing with large datasets, affecting efficiency and usability. (65 reviews) - Users experience **performance issues** with large datasets and complex reports, impacting overall usability and efficiency. (29 reviews) - Users often struggle with the **steep learning curve of complex data modeling** , especially when handling large datasets in Power BI. (27 reviews) - Users find **limited customization options** in Power BI, wishing for more free visuals and improved mobile experience. (25 reviews) - Users find the **expensive additional fees** for premium features burdensome, especially for small teams and individuals. (22 reviews) - Complexity (21 reviews) - Complex Usage (19 reviews) - Users find that **missing features** in Microsoft Power BI require extra effort and training to navigate effectively. (19 reviews) - Users experience **slow loading times** when handling large datasets in Power BI, impacting their workflow efficiency. (15 reviews) ## Microsoft Power BI Reviews ### 1. No-Code Microsoft Analytics with Easy Data Connections and Drag-and-Drop Dashboards **Rating:** 4.5/5.0 stars **Reviewed by:** Ashutha K. | Project Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 30, 2026 **What do you like best about Microsoft Power BI?** Can easily connect to data sources like lists, SQL servers, as well as Excel /csv stored in SharePoint, then build semantic models which can also be further used to build reports using a wide variety of prebuilt charts,The charts can be populated with data by dragging and dropping the respective columns from the dataset to create the chart. It’s also easy to publish dashboards and write access control rules.Its a no code business data analytics solution from Microsoft with minimal coding to build a dashboard **What do you dislike about Microsoft Power BI?** Data loading takes time, so when I’m working with large datasets, even a minor change means I have to wait through the loading time again. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps me easily convert raw data into insights by using the data editor to transform the data, then connecting it to charts and building a dashboard. After that, the report can be published, and the dataset can be refreshed by setting time triggers. Overall, it’s very easy to publish a report and share it with multiple users. ### 2. Zero-Code Dashboards with Easy Data Transformations and One-Click Publishing **Rating:** 4.5/5.0 stars **Reviewed by:** Swati J. | Project Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 23, 2026 **What do you like best about Microsoft Power BI?** Extremely easy to build dashboards with zero code. The Power Query Editor helps create data transformations by selecting the respective buttons and then choosing options for transformation with little to no coding. PowerBI also allows you to connect to a wide variety of data sources such as SharePoint lists, SQL, Excel, SharePoint, etc. There are also a wide variety of chart options that can be created with simple drag-and-drop and selecting the the respective columns. Publishing is also essentially one click: by selecting the workspace, the dashboard can be published. **What do you dislike about Microsoft Power BI?** The data load time for large datasets is pretty long. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps me build dashboards, publish them, and control access. Power BI can be used in both cloud and desktop versions. The dashboards can be accessed on mobile and on the web, and it also offers a lot of configuration options, like setting up the dataset refresh time and controlling access to selective pages for a certain audience. It feels very secure for connecting datasets from a wide variety of sources like SQL and SharePoint, and it offers integration with almost every commonly used data source.Also the license options are pretty cheap for the wide variety of functionalities it offers ### 3. Microsoft Power BI Turns Raw Data into Clear, Interactive Dashboards Fast **Rating:** 5.0/5.0 stars **Reviewed by:** Anil B. | Fresher, Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Microsoft Power BI?** What I like most about Microsoft Power BI is how quickly it turns raw data into clear, interactive visuals. The drag-and-drop interface feels intuitive, even for beginners, yet it still offers powerful analytics for advanced users. Real-time dashboards, seamless integration with other tools, and strong data connectivity make it incredibly practical for everyday decision-making and reporting tasks. **What do you dislike about Microsoft Power BI?** What I dislike about Microsoft Power BI is that it can feel slow and resource-heavy, especially with large datasets. The learning curve becomes steep when moving into advanced features like DAX and data modeling. Licensing and sharing reports can also be confusing, and collaboration isn’t always as smooth as expected compared to some other modern analytics tools. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI solves the problem of scattered, hard-to-understand data by bringing everything into one place and turning it into clear, interactive dashboards. It saves time on manual reporting and reduces errors. For me, it makes decision-making faster and more confident, since I can quickly see trends, track performance, and share insights with others in real time. ### 4. Great for unifying our data stack, though governance is key **Rating:** 4.0/5.0 stars **Reviewed by:** rishabh m. | Senior Project Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about Microsoft Power BI?** What we like most about Microsoft Power BI is how quickly it turns raw data into something business teams can actually use. The UI is clean and fairly intuitive, so even non technical users can navigate dashboards and build simple reports without too much hand holding, while data teams still have the flexibility to create more advanced models and visualizations. Integration has also been a strong point for us. Since we already work heavily within the Microsoft ecosystem, connecting Power BI with Microsoft Fabric, OneLake, Excel, and other Azure services was pretty seamless. Features like Direct Lake and scheduled refreshes helped improve reporting performance without creating too much additional overhead. For example we used it to pull data from SQL Server and a few Excel based finance reports into OneLake and the Direct Lake connection reduced a lot of the refresh delays we used to deal with in our older import based setup. From a collaboration standpoint, it is much easier to share dashboards and keep everyone aligned on the same metrics. It cut down a lot of the manual back and forth we used to have with exports and static reports. The ROI became noticeable fairly quickly because reporting cycles were faster and business users became more self sufficient. Performance has generally been solid for day to day reporting, although larger datasets still need careful optimization. DAX and report tuning can become a bit of a hurdle as complexity grows, especially for newer users. Support and onboarding were decent overall. There’s a large community and plenty of learning material available, although most teams still need some hands-on experience before getting fully comfortable with advanced modeling and governance. We have also started exploring some of the AI driven capabilities. Features like natural language queries and AI assisted visuals have been useful for speeding up simple analysis, although some of the more advanced AI functionality still feels like it is evolving. **What do you dislike about Microsoft Power BI?** What i have found challenging with Microsoft Power BI is that while the UI is easy enough for basic reporting, things get more complicated once you move into advanced modeling and DAX. New users can build dashboards fairly quickly, but optimizing reports and managing larger datasets takes more experience than expected. Performance is generally good although refresh times and visuals can slow down as you add more layers to the reports. We have also had to spend time managing permissions and governance across Power BI, Fabric and Azure services to keep things organized. Specifically, we ran into a few headaches while setting up Row Level Security (RLS) across a larger Fabric workspace. It was not a deal breaker but it definitely required more trial and error than we initially expected. Pricing can become difficult to track once Premium features and larger capacity requirements come into play so controlling report sprawl is important for maintaining ROI. Support and onboarding are decent overall mainly because of the large community and documentation available but a lot of advanced learning still comes through hands on experience. We have also explored some of the AI driven capabilities. They are useful for speeding up simple analysis and data exploration, although some of the more advanced features still feel like they are evolving. **What problems is Microsoft Power BI solving and how is that benefiting you?** Before using Microsoft Power BI a lot of our reporting was spread across spreadsheets, static exports and manually updated dashboards. Different teams were often working with different versions of the same data, which created delays and too much back and forth whenever leadership needed updated numbers. Power BI helped centralize reporting and gave teams access to live dashboards instead of static reports. Because it integrates well with Microsoft Fabric, OneLake, Excel and Azure services, we were able to connect multiple data sources into a more consistent reporting layer without rebuilding everything from scratch. For example, we used it to pull data from SQL Server and a few Excel based finance reports into OneLake and the Direct Lake connection reduced a lot of the refresh delays we used to deal with in our older import based setup. The biggest benefit has been speed and visibility. Business users can now access dashboards directly instead of waiting on manual reports from the data team, which has reduced turnaround time significantly for day to day reporting. It also improved collaboration since everyone is working from the same metrics and visualizations. One of the biggest operational wins for us was reducing reporting cycles from a few days of manual preparation to near real time visibility for business teams. It also saved the data team several hours each week that were previously spent cleaning and validating spreadsheets before reports went out. From a performance standpoint, features like Direct Lake and scheduled refreshes helped reduce reporting latency for larger datasets. We’ve also started using some of the AI assisted capabilities for quicker data exploration and basic analysis, which has helped non technical users interact with data more independently. Overall it is reduced manual reporting effort, improved data accessibility and made decision making faster across teams, although maintaining performance and governance still requires ongoing attention as usage scales. ### 5. Integrated dashboard with Copilot: powerful analytics, valuable support, and convenient licensing **Rating:** 5.0/5.0 stars **Reviewed by:** Anderson F. | Digital Process Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 11, 2026 **What do you like best about Microsoft Power BI?** The possibility of integrating all my systems under an integrated dashboard, thus allowing a user-friendly and analytical view of all my indicators from all the company's systems, now with the new copilot integrations that assist in development with tools and as a guide within the app, the support and help community that this system has is valuable, for quite affordable license prices and the ability to update multiple data sources with a single click without affecting performance thanks to the multiple data loading options we have to choose from. **What do you dislike about Microsoft Power BI?** I feel that the development interface could be more user-friendly, as it has many options that can sometimes be confusing or even conflicting for people looking to develop basic dashboards with high-level indicators. **What problems is Microsoft Power BI solving and how is that benefiting you?** Resolve the lack of transparency and improve data visualization, especially in organizations with multiple software or platforms distributed throughout the organization. This tool makes it possible to treat all data sources as if they were one and manage them under the same business rules. ### 6. Power BI Turns Messy Data into Clear, Fast, User-Friendly Insights **Rating:** 4.0/5.0 stars **Reviewed by:** Connie J. | Procurement Specialist, Government Administration, Enterprise (> 1000 emp.) **Reviewed Date:** May 04, 2026 **What do you like best about Microsoft Power BI?** Power BI has a lot of features. I don't know where to start, but if I had to pick the "best" thing, it would be how it converts raw, complex, messy data into something that is easy to read and understand. And it does it rather quickly. Power BI is also very user friendly and easy to maneuver. Other apps and programs can sync and connect with no issue and without having to do too much. I also love how it refreshes automatically. **What do you dislike about Microsoft Power BI?** It's a great program, but it's not perfect by a long shot. It can be complex when you start working with formulas. It lags at time when the datasets are a bit larger. Lastly, power queries can be confusing and hard to interpret and understand. **What problems is Microsoft Power BI solving and how is that benefiting you?** It helps me pull everything, from Excel files, SharePoint, and emails, together in one place. It saves me a lot of time, and helps me with collaboration since everyone can see the same report at the same time, and it's updated in real time. ### 7. Seamless Databricks Integration and Intuitive Dashboards for Scalable BI **Rating:** 4.5/5.0 stars **Reviewed by:** Akhil S. | Senior Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 01, 2026 **What do you like best about Microsoft Power BI?** What I like best about Microsoft Power BI is its seamless integration with enterprise data platforms such as Databricks, enabling real-time analytics and scalable reporting. Its intuitive dashboards, strong data modeling capabilities, and tight integration with the Microsoft ecosystem make it highly effective for business intelligence and decision-making. **What do you dislike about Microsoft Power BI?** One drawback of Microsoft Power BI is that performance can slow down when handling very large datasets without proper optimization. Some advanced features have a learning curve, and licensing costs can increase as organizations scale and require premium capabilities. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI solves the challenge of consolidating data from multiple sources into a single, interactive reporting platform. It helps me transform raw data into actionable insights, automate reporting, and monitor key business metrics in real time, leading to faster decision-making, improved productivity, and better visibility across operations. ### 8. Power BI Makes Real-Time Dashboards and Multi-Source Reporting Easy **Rating:** 4.5/5.0 stars **Reviewed by:** ARNAB B. | Senior Technical Lead, Hospital & Health Care, Enterprise (> 1000 emp.) **Reviewed Date:** April 25, 2026 **What do you like best about Microsoft Power BI?** It helps in preparing reports, creating dashboards etc. One can connect to multiple data sources using in-built connectors to get real-time data in the report or dashboard. Also, it is possible to create a data model if data is coming from multiple sources. Once the report is created and published, an api gets generated which can be used to refresh the power-bi model from even outside power-bi. **What do you dislike about Microsoft Power BI?** There is nothing major to dislike. But the only issue I have observed so far is, while the refresh fails, it does not trigger any automated notification. **What problems is Microsoft Power BI solving and how is that benefiting you?** I'm to fetch data from Oracle database tables and am to prepare reports. While the connector for fhe DB is a premium one in PowerAutomate, but it's free in Power BI. I have been able to fetch the details from PowerBI and have prepared the report ans using Power Automate, I have accessed the data in report. It has reduced my effort to create the daily report manually. ### 9. Power BI: A Powerful Storytelling Tool For High-Level Insights **Rating:** 5.0/5.0 stars **Reviewed by:** MOHIT C. | Business Intelligence Developer, Consulting, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Microsoft Power BI?** It is important to highlight that what makes Power BI unique is its capability to combine data engineering skills with business storytelling. Apart from its technical aspects, the main advantage of this program is its smooth connection with the existing Excel processes, which makes it extremely user-friendly and accessible, thus enabling people to produce advanced analysis without much hassle. Thanks to its DAX functions and an opportunity to interact with visuals by simply clicking on the screen, this tool turns numeric data into a story. It helps people focus not only on cleaning raw data but on getting valuable insights from it and making the process collaborative through the creation of a single source of truth. **What do you dislike about Microsoft Power BI?** One of the biggest problems, in particular, is the complexity of DAX, despite its capability; it is extremely difficult to understand, and even one mistake, such as the addition of an unintended comma, will create an entirely wrong number that could prove hard to find. In terms of design, the formatting pane seems quite cumbersome because of how many clicks are required to make the simplest design changes. Finally, the program has a very complicated licensing scheme, which often ends up creating bottlenecks where users can produce great reports but cannot share them with colleagues due to a lack of proper licenses. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI addresses the problem of "version control" through the use of a cohesive and automated data model that ensures that all parties involved in decision-making within their respective departments are doing so with the same information up-to-date and in real-time. Personally, what I see in my projects, as the most appealing advantage, is the complete transformation of my role from being a "data processor" to a "strategic advisor", where I will no longer need to worry about performing tedious tasks. By virtue of automating the entire data pipeline, including ingestion and visualising the insights, it saves a lot of time, which I can then spend on other areas. ### 10. Seamless Microsoft Integration and Powerful Dashboards with Power BI **Rating:** 5.0/5.0 stars **Reviewed by:** Archana R. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2026 **What do you like best about Microsoft Power BI?** The seamless integration with other Microsoft tools like Excel, Teams, and Azure makes Power BI incredibly convenient. The drag-and-drop interface allows non-technical users to build powerful dashboards quickly, while the DAX formula language gives analysts deep customization. Real-time data refresh and the ability to share reports across an organization without extra licensing costs are major advantages. **What do you dislike about Microsoft Power BI?** The learning curve for DAX can be steep for new users, and the desktop app is Windows-only, which excludes Mac users from the full experience. Performance can slow down significantly with large datasets, and the UI can feel cluttered. Licensing costs also add up quickly when sharing reports with external stakeholders outside your organization.” **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI has eliminated the need for manual reporting by centralizing data from multiple sources into a single dashboard. This saves hours of weekly effort and gives leadership real-time visibility into KPIs. It’s helped our team make faster, data-driven decisions and reduced our reliance on IT for routine reporting requests ### 11. Effective for Analytics but Complex Setup **Rating:** 3.5/5.0 stars **Reviewed by:** Anirudh V. | Digital Marketing Specialist, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Microsoft Power BI?** I like the minimalistic interface of Microsoft Power BI. It's very straightforward, where it's just about adding the checkboxes and getting the data done. It also simplifies creating graphs and exporting the data for use in external tools. **What do you dislike about Microsoft Power BI?** Sometimes when the data is vast, Microsoft Power BI tends to have so many options, and there's no feature for viewing operations within the dashboard, which makes it more complicated if the dataset size is huge. It's also very difficult to understand and navigate through the various options for each start. The initial setup isn't that easy because data needs to be stitched from multiple sources, making it difficult to centralize data into Power BI, as it's a very manual process. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to visualize the complete marketing funnel, track where leads get stuck, and measure conversion times. It's easy to use for creating graphs and exporting data, simplifying analytics and marketing operations. ### 12. Power BI works really well with Microsoft Fabric for reporting **Rating:** 4.5/5.0 stars **Reviewed by:** Ritik J. | Software Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** March 15, 2026 **What do you like best about Microsoft Power BI?** I’ve been using Microsoft Power BI mainly for reporting and dashboard creation. In one of our projects we connected Power BI directly to warehouse tables and views in Microsoft Fabric, and the experience was pretty smooth. What I like most is how quickly you can turn structured data into a dashboard. Once the connection with the warehouse is set up, creating visuals like charts, KPIs, and filters is quite straightforward. Business users in our team prefer dashboards over raw tables, so Power BI helps a lot in presenting the data in a clear way. Another thing I find helpful is Power Query for simple transformations. Even if the data is mostly prepared in the warehouse, sometimes small adjustments are needed and Power BI handles that well. **What do you dislike about Microsoft Power BI?** When reports start getting bigger with many visuals, performance can sometimes slow down a bit. It usually works fine but you need to design the model carefully if the dataset grows. Also, learning DAX properly takes some time. Basic reports are easy, but advanced calculations definitely require practice. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps us convert warehouse data into meaningful reports that business users can easily understand. Instead of manually preparing Excel reports every time, we now have dashboards that update automatically when the warehouse data refreshes. This saves a lot of time and makes it easier for teams to track important metrics and trends. ### 13. Easy Data Connections and Storytelling Visuals for Sharing Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Johannes E. | Group Internal Audit - Lead Operations AMS, Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Microsoft Power BI?** The ability to connect data is really great. As a user, it’s fairly easy to navigate once you get the hang of it. It can feel daunting at first, but with minimal effort you start to understand the key features and feel comfortable pretty quickly. It helps us connect multiple data sets and sources using a primary key, similar to how you can in other tools, and it also lets you visualise the story behind the data. It really helps users paint a picture with the data. We use it very often to share key insights with both immediate and extended stakeholders. **What do you dislike about Microsoft Power BI?** I’d love to see PowerBi offer data-prep and clean-up capabilities more in line with other tools. Ideally, when I load a file, it would proactively flag issues to fix, instead of being so strict about the source dataset needing to be structured a certain way with data types already clearly defined. As it stands, changing data types can be time-consuming, and the same goes for handling NULL values (or cases where zero values should really be treated as NULL, etc.). I also find it can be fairly resource-intensive, especially for users who aren’t very familiar with data-flow optimisations. On top of that, there are some logical inconsistencies that raise the barrier to entry and make scaling the product harder. For example, matching on duplicates is case-sensitive in certain parts of the tool but not in others. That can let something pass initial checks, only to fail later when you start linking relationships. Lastly, having the option to show grid-style visuals (even if that feels like something you’d normally do in Excel) would be genuinely helpful, and I think it would make the product more approachable for non-technical users and slower adopters as well. **What problems is Microsoft Power BI solving and how is that benefiting you?** We have different teams across different countries, which creates many possible combinations of data. The biggest benefit PowerBi provides is that teams can view and work with different data layouts through intuitive filtering. For example, if Team A in Country Z wants to see how well they are meeting deadlines for specific tasks, they can track that quarter over quarter. It also allows us to bring datasets together from various sources, which is really helpful. Overall, it gives users a more holistic view, whereas their individual instance would otherwise only show the data relevant to that specific environment. ### 14. Flexible Dashboards with Strong Data Connectivity **Rating:** 5.0/5.0 stars **Reviewed by:** Marco B. | Director of CRM, Enterprise (> 1000 emp.) **Reviewed Date:** May 13, 2026 **What do you like best about Microsoft Power BI?** Power BI is a very strong tool for data visualization and dashboarding, especially within the Microsoft ecosystem. It connects easily to multiple data sources and handles large datasets well. The reporting capabilities are flexible, while still remaining relatively easy for business teams to use. **What do you dislike about Microsoft Power BI?** The interface can feel cluttered and not as intuitive as some newer BI tools. Performance can also slow down when working with complex models or large reports, and collaboration and version management aren’t always seamless. On top of that, some of the more advanced features require fairly strong technical knowledge to use effectively. **What problems is Microsoft Power BI solving and how is that benefiting you?** Power BI helps centralize data from different sources into a single reporting environment. It makes KPIs, trends, and operational performance easier to monitor through automated dashboards. This improves visibility, reduces manual reporting effort, and supports faster decision-making across teams. ### 15. Revolutionized Our Reporting with Customization and Collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** Dinesh Kumar D. | Senior Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Microsoft Power BI?** I like creating a federated data model as centralized, which helps to build shared reports on top of that, and RLS is helpful for working on finance and sales data using a centralized dataset and report. I also appreciate the Apps feature, which gives me freedom as a developer to satisfy client requirements. The paginated reports are useful for sending Excel outputs to specific user groups for their business needs. The federated data model minimizes the rework involved in data model development and reduces the number of standalone reports, allowing me to focus on report development instead of creating data models for each individual report. The initial setup of Microsoft Power BI was quite simple, not a big deal to set up the environment. **What do you dislike about Microsoft Power BI?** I don't like that we can't edit the report measures in the service, even with admin level access. We're always dependent on the Power BI Desktop to update DAX. Also, if we use the Tabular Editor to edit, we can't download the file from the service. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI solved the issue of static scheduling by integrating with Power Automate for dynamic schedules. It centralizes data models, reduces rework, enables row-level security, and simplifies reporting through apps and paginated reports, enhancing our focus on report development. ### 16. PowerBI - raw data to boardroom ready! **Rating:** 4.5/5.0 stars **Reviewed by:** Hari K. | AI/ML Solution Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2026 **What do you like best about Microsoft Power BI?** I primarily like creating interactive dashboards and charts using PowerBI for all my work, since it makes data easily understandable across domains.. that said i also appreciate the ease of connectivity across Azure services like SQL server, excel etc., along with its pricing model that is hard to argue with! **What do you dislike about Microsoft Power BI?** DAX! - i am well familiared with excel, when i initially came into using PowerBI.. DAX looked like just excel formulas but as i worked further i could see the underlying architecture is completely a different animal.... It is easy to do wrong calculations when not over careful.. **What problems is Microsoft Power BI solving and how is that benefiting you?** It solves a lot of my business problem by acting as a single source of truth, that puts together excel, exports etc, into a single piece of information for me and the. client ..and it have helped a lot for certain people who have been leveraging static report so far with dynamic repot ! ### 17. Powerful Multi-Source Dashboards for Accurate, Effective Program Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Safa S. | Cybersecurity Training and Awareness Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 09, 2026 **What do you like best about Microsoft Power BI?** The ability to integrate data from multiple sources into one view or dashboard that is readily available for program analysis. TThe various reports and dashboards provide a multifaceted view of the program for more effective/accurate analysis and decisions. **What do you dislike about Microsoft Power BI?** There's a big learning curve if you aren't formally trained and a significant technical gap in access and knowledge between business customer (e.g. a business unit or department) and developers. This sometimes makes it frustrating to resolve issues because they're on the configuration side which business users don't have direct access to. This isn't an issue if developers and data services teams are immediately and easily available (in-house) but can be very challenging if you have to go through some hoops for this kind of support. **What problems is Microsoft Power BI solving and how is that benefiting you?** It's saving valuable time by bringing together in one view data from multiple sources and provides leaders direct and immediate access to data about their team members' performance. ### 18. Efficient Visualizations and Reporting with Power BI **Rating:** 4.5/5.0 stars **Reviewed by:** Divyansh T. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 24, 2026 **What do you like best about Microsoft Power BI?** I like the interface and visuals that Microsoft Power BI offers, especially with so many new custom visual options that users can make. It's also very fast and supports most platforms like CSV, SQL Server, and JSON, which makes it easy to create reports. The visuals and custom visual options are appealing to business stakeholders, helping them make quick decisions. **What do you dislike about Microsoft Power BI?** I don't think there is a specific limitation for Microsoft Power BI. Just it is a bit more like, if it also offers the report making through MCP server, not just the data modification. If it also offers their report building with the proper AIMCP server, then it would be helpful for making reports also. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI for visualizations and reporting, converting raw data into actionable insights. It helps my business make informed decisions. I appreciate its interface and visuals, which assist stakeholders in quick decision-making. ### 19. Powerful, Interactive Dashboard **Rating:** 5.0/5.0 stars **Reviewed by:** Anjali T. | Business Intelligence Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 30, 2026 **What do you like best about Microsoft Power BI?** What I like best about Microsoft Power BI is its ability to transform raw data into interactive and visually appealing dashboards. It makes data analysis easier by providing powerful visualization tools, real-time insights, and seamless integration with Excel and other data sources. I also find it very useful for creating reports that help in better decision-making and presenting data in a clear, structured way. **What do you dislike about Microsoft Power BI?** One thing I dislike about Microsoft Power BI is that it can have a learning curve, especially for beginners who are new to data modeling and DAX. Sometimes performance may slow down when working with very large datasets. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI helps solve the problem of handling and analyzing large amounts of data from different sources. It allows me to clean, transform, and visualize data in one place, making it easier to identify trends and insights. This benefits me by improving decision-making, saving time on manual reporting, and enabling me to create interactive dashboards that clearly communicate data to stakeholders. ### 20. Transforming Complex FinTech Datasets into Actionable Insights with Power BI **Rating:** 4.0/5.0 stars **Reviewed by:** Kavish N. | Senior Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** March 30, 2026 **What do you like best about Microsoft Power BI?** As a Senior Data Analyst with 3.5+ years of experience, what I value most about Power BI is its seamless integration with the Microsoft ecosystem (Azure, SQL Server, Excel). The Power Query Editor is a real lifesaver when it comes to data cleaning and preparation. In particular, being able to write complex DAX measures helps me manage intricate financial calculations—such as YOY growth and risk metrics—and then present them clearly through interactive dashboards that stakeholders can explore. **What do you dislike about Microsoft Power BI?** The learning curve for advanced DAX can feel quite steep, especially for beginners. I’ve also noticed performance slowdowns when working with very large, unoptimized datasets (multi-million rows) or with complex star schemas. And while the formatting options for visuals have improved, they still feel somewhat restrictive compared with specialized design tools like Figma. **What problems is Microsoft Power BI solving and how is that benefiting you?** If you’re already in the Microsoft environment, this is a no-brainer. I’d recommend focusing early on learning DAX and getting your data modeling right—when the backend model is solid, building the frontend reports becomes much more straightforward. ### 21. Power BI Turns Raw Data into Powerful, Intuitive Dashboards **Rating:** 5.0/5.0 stars **Reviewed by:** Suman K. | Senior Data Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** June 13, 2026 **What do you like best about Microsoft Power BI?** Power BI is incredibly good at turning raw data into information. I regularly use it for dashboards and reports by bringing data in from various sources such as SQL databases, Excel, etc. It's very intuitive to create visuals, the drag and drop interface is so useful and DAX allows quite powerful custom calculations to be built. It handles moderately large datasets and integrates well with the other Microsoft applications. **What do you dislike about Microsoft Power BI?** One potential problem is that it will become slow on very large or complicated data sets. Also DAX can be steep learning curve to get started, particularly if you are not a new user to some extent and there are elements within the interface that are not that intuitive. **What problems is Microsoft Power BI solving and how is that benefiting you?** I can make use of power BI in order to make use of raw data and convert them to an interactive dashboard in which I can check and update KPIs, and report to the business. I will not need to spend time on preparing reports manually, so that will be more efficient. ### 22. Turns Raw Data into Meaningful Insights with a Simple, High-Value UI **Rating:** 4.5/5.0 stars **Reviewed by:** Harsh G. | Cyber Security Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 10, 2026 **What do you like best about Microsoft Power BI?** One thing I really like about it is that how it turns raw data into meaningful insights . I like the simplicity of its user interface and according to the pricing its performance is really good. **What do you dislike about Microsoft Power BI?** I think the Ui is simple but its also very basic , it needs to be a little bit more interactive I think it is kinda outdated **What problems is Microsoft Power BI solving and how is that benefiting you?** Our team has been using this tool for so long now and we are able to play with our data in a very efficient way . It doesn't take so long compared to other platforms we can monitor key metrics through dashboards and make faster data driven decisons . ### 23. Powerful Visualizations and DAX for Executive-Ready Reporting for S/4 HANA Implementation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 08, 2026 **What do you like best about Microsoft Power BI?** We recently used Power BI for a massive client implementation, handling the entire reporting track for their SAP S/4HANA migration project. Honestly, the visualization capabilities and the deep drill-down features were a complete game-changer for the client's executive team. The real power came from DAX. Being able to write customized calculations that mapped exactly to the client's specific financial requirements—and connecting those directly to the S/4HANA backend—allowed us to deliver clean, advanced dashboards straight to the CXOs. It performs amazingly well when fetching huge data volumes and structuring them into clean layouts without lagging. Plus, the licensing cost is highly reasonable for the actual value it brings to an enterprise setup. The widespread availability of Power BI certifications also made it incredibly easy to onboard the client’s internal team and build quick tool awareness before the official Go-Live. **What do you dislike about Microsoft Power BI?** Honestly, the biggest pain point during our S/4HANA rollout was the performance lag. When you are dealing with massive SAP data models, the tool becomes incredibly resource-intensive, and if your DAX isn't 100% perfect, everything just slows down to a crawl. Also, the learning curve for the client’s internal team was much steeper than expected. Writing complex DAX isn't intuitive, so we had to spend way too much time hand-holding them through basic report maintenance. Plus, the lack of a native Mac app is super annoying—half the CXOs we built dashboards for are on MacBooks, making the desktop development side a total headache for them. **What problems is Microsoft Power BI solving and how is that benefiting you?** The Data Silo Issue: It blends the client’s new S/4HANA data with their old legacy systems into one dashboard, so the CXOs don't have to jump between different reports anymore. Simplifying SAP Data: SAP backend tables are notoriously messy. Power BI lets us translate all that raw data into clean, visual KPIs that regular business users can actually understand at a glance. No More Manual Excel Work: The automated refreshes completely killed the need for the team to manually pull data every week, which saves us tons of hours. Easier Project Hand-off: Since there are so many training resources and certifications available, it was way easier for us to train the client's internal team to take over the reports when our implementation wrapped up. ### 24. Great Data Integration with Steep Learning Curve for DAX **Rating:** 5.0/5.0 stars **Reviewed by:** Laxmi K. | Senior Operations Executive, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Microsoft Power BI?** In my position I oversee our total sales and supply chain tracking in several regional branches. I mainly use Power BI to pull data from our CRM and warehouse management systems and build high level executive dashboards. This enables our sales directors to track daily revenue goals and spot inventory bottlenecks immediately, without ever having to request or sift through raw database exports themselves.When I come in, I open Power BI Desktop and refresh the datasets behind our reports before the team arrives. It's the first thing I do with Power Query, it cleans up the messy raw data that we pull straight from our SQL server. I love that I can set up the data transformation steps once, and then the columns automatically format themselves perfectly every morning. Once the data is loaded into the model, I usually start building some DAX measures using functions like CALCULATE to understand our month-over-month performance trends. I love being able to drag and drop those new measures straight into a matrix visual or a simple line chart and get instant results. When I want a quick ad-hoc analysis from my manager, I simply hook up Power BI to our team’s Excel files on SharePoint and the visuals are updated instantly. It really feels like I have a superpower when I can turn a giant, unreadable spreadsheet into an interactive report before my morning coffee even gets cold. **What do you dislike about Microsoft Power BI?** But the software can definitely test my patience at times. The biggest frustration I have is how resource-heavy the desktop application is on my laptop. - When I work with a really big data set and try to apply a complex DAX formula, sometimes the whole application just freezes up completely. There is nothing worse than the VP sending you an urgent last-minute report request, hitting refresh, and just staring at the spinning loading wheel hoping it does not crash on you. Also, writing basic formulas is pretty straight forward but the learning curve for advanced DAX is incredibly steep. Sometimes I spend an hour trying to figure out why a simple subtotal is not calculating correctly because of some hidden issue with filter context. Finally, publishing to Power BI Service is sometimes slow and waiting for the semantic model to refresh in the cloud could often take a bit longer than it should when you’re in a rush. **What problems is Microsoft Power BI solving and how is that benefiting you?** Before we were fully integrated with Power BI, it was a real nightmare to monitor our supply chain and sales goals. We were in the world of our CRM data. The world of our inventory. I had to download giant CVS's from both systems, import them into excel and then do this some sort of VLOOKUP operation to combine all three but with some of the worst VLOOKUP's ever that would break every week. It was painfully slow and by the time the regional directors received the reports on Friday, the information was old. This tool helped us a lot last month, in the context of a big promotion campaign. As usual, our stock was plentiful in our WMS globally, but when I created my new Power BI dashboard I was immediately faced with the problem: our most popular product was being sold out of our East warehouse and our West warehouse was oversold. This limitation was noticed by us immediately and we came up with a solution quickly to avoid consequences for customer orders with the Dashboard refreshing on its own, and ended up using real-time inventory allocation instead. It has taken the guess work out of it and we all look at the same spreadsheet in our shared space instead of every region office having its own truth. It’s changed the way we manage our stock and saved our team hundreds of hours every month of manually combining data. ### 25. Time Saving Decision Making **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Logistics and Supply Chain | Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2026 **What do you like best about Microsoft Power BI?** The BI reports provide a descriptive and helpful overview on how our customers and carriers has been periodically. Using this information, we are able to predict their ups and downs, as well as review their performance and know how they can improve using the graphic data updated bihourly. It's easy to switch the view per day, week, month, quarter or year providing an overview of our customer performance. **What do you dislike about Microsoft Power BI?** The system performs sluggishly almost every week. When this happens, the team dashboard may show data from three to four days ago. Although the interface has a bookmarks option, I can't use it to add a personal or report bookmark. **What problems is Microsoft Power BI solving and how is that benefiting you?** Data automation makes it easier to evaluate our customers' performance, enabling faster decision-making when trends become apparent. Additionally, presenting our company's metrics graphically saves time at report meetings when the information is visual with the automatic cake reports. ### 26. Efficient Data Visualization with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** CHRIS R. | Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** June 21, 2026 **What do you like best about Microsoft Power BI?** I like how easy Microsoft Power BI makes it to visualize data and create interactive dashboards. It saves time on reporting, helps identify trends quickly, and makes it easier to share insights with others in the organization. These features help me quickly understand large amounts of data and spot trends that might otherwise be missed. The dashboards provide a clear view of key metrics, making reporting faster and helping the team make better decisions based on real-time information. **What do you dislike about Microsoft Power BI?** Power BI is a great tool overall, but it can take time to learn some of the advanced features. Large reports can occasionally be slow, and certain features require additional licensing. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI helps combine data from multiple sources and visualize it in one place. It reduces manual reporting effort, improves accuracy, and makes it easier to monitor performance and productivity trends. ### 27. Easy-to-Use Power BI for Fast, Flexible Dashboards and Powerful Integrations **Rating:** 5.0/5.0 stars **Reviewed by:** Rohit S. | Analytical Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2026 **What do you like best about Microsoft Power BI?** power bi is a very easy to use tool. it was very easy to build charts and build dashboards. it is very flexible to adjust chart sizes in the dashboards. it can be integrated with various data source tools. its calculations are also very fast and efficient and hence improves performance of the dashboard. its recent integrations with mcp has improved it ai features as well. **What do you dislike about Microsoft Power BI?** some of the features like dynamic zone visibility has to be done using bookmarks which takes up a lot of time and effort. some of the dax calculations are too complex to build. **What problems is Microsoft Power BI solving and how is that benefiting you?** power bi helps me build complex data models and dashboards with ease. it also provides easy ways to apply rls on the data and the dashboard. clients also find it very easy to get support from power bi through forums, etc. ### 28. Bridging the gap between complex ML models and business stakeholders **Rating:** 4.5/5.0 stars **Reviewed by:** Sachin G. | Machine Learning Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 24, 2026 **What do you like best about Microsoft Power BI?** So working as a Machine Learning Engineer at a medium-sized tech company, my main use case for Microsoft Power BI is being able to communicate between the complicated data models and non-tech business teams. I create visualizations of our model performance metrics, monitor data and feature drift over time using the software, and convert our predictions to interactive dashboards. I don't hand off raw data, but I provide cleaned and automated Power BI reports which the sales and marketing teams can interact with and understand.I really like the integration with my tech stack—the fact that our tech stack is already pretty Azure-heavy, and since we use Python extensively, seamless integration is a big plus, really. Being able to run a Python script right in the tool to do data processing before visualizing it is a huge timesaver for my workflow. In addition, the power of the DAX engine provides for extremely sophisticated aggregations and custom metrics on the fly. What it does do really is take raw machine learning outputs and turn them into easily understood, interactive story, so in meetings, I don't spend a ton of time explaining static charts, I spend a ton of time building and refining my models. **What do you dislike about Microsoft Power BI?** The downside is that there are a couple things about it that are annoying. It is a desktop application and when I'm having to work with larger datasets locally, the software often becomes slow or even crashes completely. Moreover, DAX is a very powerful tool but is surprisingly complex and deep to learn, much more so than normal SQL or pandas. I also don't like the version control in the Power BI world very much. Being able to work with other engineers on the same dashboard file is a pain in the ass because it is not a collaborative file that can be easily worked on and shared using standard git workflows; it has to be passed back and forth by us manually. **What problems is Microsoft Power BI solving and how is that benefiting you?** For me, the biggest issue Power BI solves is about communicating and providing actionable insights. Previously, I would provide notebooks or static matplotlib graphics, and these were rarely viewed and understood. Our customer retention team can now view our real-time machine learning predictions directly in our automated, daily-updated Power BI dashboard, and immediately know which customers are in danger of churning. They can easily view the data on their region or product lines, and make decisions without me having to create custom reports. It has eliminated the business-operational constraint between the data science team and the business. ### 29. Fantastic for bridging the gap between data science and business, but DAX can be frustrating **Rating:** 5.0/5.0 stars **Reviewed by:** Lokesh S. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** May 18, 2026 **What do you like best about Microsoft Power BI?** Some of my most time is spent developing models in Python and SQL but I have to be able to get those models to our executive team without overwhelming them with code. Power BI is amazing for this translation component! Integration of our current Microsoft stack, Azure and SQL Server is very seamless. What I like a lot is the intuitive way that interactive visuals are created once the data model is correctly configured. The cross-filtering facility is a very useful feature: it means that users who need to find information in the data but are not necessarily technical can do so without me having to write a thousand ad hoc queries each week. I also enjoy that when I need to create an extremely customizable visualization for which there isn't a native tool, I can simply embed my Python and R scripts directly within the dashboards. **What do you dislike about Microsoft Power BI?** However, there are also some drawbacks to the platform. The challenge I think I am having the most difficulty with is DAX. Many people find DAX difficult to use, as they are used to working with Python and SQL which they find easier to use. You have to get up to speed on a language you never heard of in order to make a simple rolling average or running sum. The other primary concern is that of the performance of the desktop application. Power BI Desktop can be a huge memory consumer and occasionally consumes so much memory that it slows or even crashes, disrupting my workflow when working with larger datasets. Finally, no support for Apple Mac operating systems makes their usage extremely irritating to some of our team members, forcing them to use an inefficient virtual machine to create or edit a report. **What problems is Microsoft Power BI solving and how is that benefiting you?** Our mid-sized company is primarily turning all of the outputs from our machine learning into actionable, digestible information for department heads with Power BI. One good real-life example is our recent project to predict customer churn. Rather than sending e-mail to the sales directors with a passive spreadsheet of at-risk clients, I plugged our data warehouse straight into Power BI and created a real-time dashboard to display the at-risk clients. Now, the retention team logs in each morning, filters the view to view their area of focus and instantly knows who has the greatest likelihood of churning due to our predictive model. This particular dashboard has been able to eliminate 3 separate manual weekly reports and enable the sales team to get ahead of them and add a few important accounts to their books this quarter. It is a great application of putting our back-end data science into action for business. ### 30. Turns Complex Data into Clear, Interactive Dashboards **Rating:** 4.5/5.0 stars **Reviewed by:** Yashi S. | Sales Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 14, 2026 **What do you like best about Microsoft Power BI?** Actually I love how it makes it easy to run complex data into clear and interactive dashboards. I like how quickly I can connect different data sources and create reports so yaa I lovethis product **What do you dislike about Microsoft Power BI?** I think when working with DAX formulas and advanced data modeling it can feel a bit complext other than that everything is good **What problems is Microsoft Power BI solving and how is that benefiting you?** Our team is fond of power BI it helps us consolidate data from multiple sources and provides asingle view of business performance. It reduces our time our manual efforts . Its pricing ans support team is also good ### 31. Convenient, Intelligent BI Tool with Excellent Reporting **Rating:** 4.5/5.0 stars **Reviewed by:** Kanishq G. | Anaplan Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** March 16, 2026 **What do you like best about Microsoft Power BI?** The most convenient and intelligent BI tool with excellent reporting features and ability to manage data - model - report. Easy publishing to Server and communicate with AI using copilot **What do you dislike about Microsoft Power BI?** Connectors / managing live connection to databases can sometime be tedious . Slicers and filters related to worksheets can sometime not sync **What problems is Microsoft Power BI solving and how is that benefiting you?** As a data analyst PowerBI is my go to tool to create interactive dashboards which business users can leverage to get better meaning of their data and it's powerful reporting and charts enable to present data the way I want. Also a powerful feature is Able to use power query which is an inbuilt data management tool to validate and filter data and manage multiple data sources efficiently . The AI features enable users to interact with the model and get Key insights like normal conversation ### 32. Empowers with Interactive Dashboards, Minor Integration Lag **Rating:** 5.0/5.0 stars **Reviewed by:** Akash G. | Joint secretary, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about Microsoft Power BI?** I love using Microsoft Power BI for its interactive dashboards, which help me track my business performance and enhance my decision-making abilities. The automation of my reporting strategies is a huge plus. DAX, or Data Analysis Expressions, is extremely useful for custom calculations and makes complex tasks like measuring year-over-year growth easier. I appreciate the automatic sync feature as it saves me from having to manually update files all the time, it’s efficient to just refresh and see all the updates. The initial setup was very straightforward, I'd give it a 9 out of 10. **What do you dislike about Microsoft Power BI?** It gets slower sometimes when I'm working in the integration of multiple datasets. Connecting multiple data sources is difficult if the formats of both have a lot of discrepancies, and it also slows down the reports. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI for interactive dashboards and automating reporting, which improves my financial decision-making. DAX simplifies calculations, and automatic sync updates my files effortlessly, enhancing accuracy and efficiency. ### 33. Really great; I’d love to see it implemented more in my workplace. **Rating:** 5.0/5.0 stars **Reviewed by:** Oriana C. | Sales Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** February 22, 2026 **What do you like best about Microsoft Power BI?** One of the best things about Power BI is how intuitive it is. Even without formal training, I was able to start building dashboards right away. Creating charts is incredibly easy, and the final result looks very professional and visually appealing. It’s a great tool for presenting data to stakeholders who value clarity and design. **What do you dislike about Microsoft Power BI?** The Login Process: Accessing the user account involves too many steps, which can be frustrating. Limited Presentation Mode: It’s disappointing that the presentation mode is only available on the web version. Because of this, I usually end up sharing my reports in PDF format when sending them to others. **What problems is Microsoft Power BI solving and how is that benefiting you?** I primarily use it with Excel, which is my main work tool. The connection is seamless, and I love that the dashboard updates automatically whenever I modify the source file. I also rely on Power Query to detect data errors and clean them up before visualizing; it makes the data prep process much faster and more reliable. ### 34. Power BI from an Analyst’s Perspective: The Good, the Bad, and the DAX **Rating:** 4.5/5.0 stars **Reviewed by:** Robert J. | BI consultant and data analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about Microsoft Power BI?** One of the greatest strengths of Power BI is its seamless integration into the Microsoft ecosystem. For an analyst already working within Azure, SQL Server, or even just Excel, the connectivity is unmatched. It’s not just about moving data; it’s about the familiarity of the interface and the ease with which you can publish reports to Teams or SharePoint. Furthermore, the breadth of visualizations—both native and community-created—allows me to tell a compelling story that resonates with stakeholders, regardless of their technical literacy. The true magic, however, happens when you have a well-constructed semantic model. When the backend logic is solid, the "drag-and-drop" simplicity of the front end is incredible. It empowers business users to perform their own ad-hoc analysis and build their own reports on top of the data model I’ve created. This self-service capability is a win-win: users get their answers faster, and I can focus on deep-dive analytics rather than tweaking minor chart formatting for every request. **What do you dislike about Microsoft Power BI?** The biggest “trap” for beginners is definitely DAX. At first glance, it looks just like Excel formulas, which is really misleading. In reality, it’s a completely different animal. The underlying logic is fairly complex, and it’s very easy for a newcomer to get overwhelmed—or, even worse, to calculate something incorrectly because they didn’t understand the formula’s “context.” It’s a steep hill to climb before you start feeling confident with it. **What problems is Microsoft Power BI solving and how is that benefiting you?** I work as a freelance data analyst, and Power BI is basically my daily driver. Before I started using it heavily, business data was usually a mess—scattered Excel files, manual exports, and too many disconnected sources. Power BI takes away that massive headache of data fragmentation by letting me pull everything into one place, so my clients finally have a single source of truth instead of five different versions of the same number. For me, the biggest win is automation. I used to spend hours cleaning data, updating tables, and redoing the same steps over and over. Now, with Power Query, I can build the “pipes” once and let the data flow in and clean itself. It also helps a lot with communication. Sometimes it’s hard to explain a complex trend in words, especially when people want to see what it means for them. Power BI lets me build interactive “What-If” scenarios where a client can move a slider and instantly see the impact on profit. It makes the results of my work more tangible, easier to understand, and ultimately more valuable to my clients. ### 35. Easy, Interactive Dashboards with Seamless Microsoft Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Sonali P. | Project Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Microsoft Power BI?** What I like best about Microsoft Power BI is how easy it is to turn complex data into clear, interactive dashboards that are actually useful for decision-making. I also appreciate how seamlessly it integrates with other Microsoft tools like Excel, which makes it easy to bring data together from multiple sources. The ability to share real-time insights with stakeholders through dashboards and automated reports has been especially valuable in driving data-driven conversations. **What do you dislike about Microsoft Power BI?** performance can sometimes lag when working with very large datasets, and managing permissions or sharing reports across different environments can feel a bit complex at times. **What problems is Microsoft Power BI solving and how is that benefiting you?** Before Microsoft Power BI, reporting was mostly manual—data was pulled from multiple sources into Excel, which was time-consuming and prone to errors. Insights were often delayed, and it was harder to get a real-time, unified view of performance. After using Power BI, data is centralized into interactive dashboards with real-time updates. This has made reporting faster, more accurate, and much more actionable, enabling quicker and more informed decision-making. ### 36. Simple and powerful tool for data visualization **Rating:** 5.0/5.0 stars **Reviewed by:** Shihas Y. | Development Engineer, Airlines/Aviation, Mid-Market (51-1000 emp.) **Reviewed Date:** April 13, 2026 **What do you like best about Microsoft Power BI?** I like Power BI because it’s easy to build visual dashboards and quickly turn data into insights. It also connects well with Excel and other data sources, which makes reporting much simpler. **What do you dislike about Microsoft Power BI?** It can feel a bit complex at times, especially when you’re getting into data modelling or DAX formulas. It also slows down a bit with very large datasets, and some features have a learning curve before they feel natural. **What problems is Microsoft Power BI solving and how is that benefiting you?** It helps turn raw data into clear, interactive reports and dashboards, which makes it much easier to understand trends and make decisions quickly. It also saves time by automating reporting and pulling data from multiple sources into one place, so I don’t have to do everything manually in Excel. ### 37. Visualizes Data Intuitively for Non-Tech Users **Rating:** 4.0/5.0 stars **Reviewed by:** Gagan G. | Analytics & Automation Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** May 25, 2026 **What do you like best about Microsoft Power BI?** I really appreciate how Microsoft Power BI helps non-technical people understand numbers with visuals, which makes understanding the business easier. I like the ease of handling duplicate and incomplete data with Power BI. The ability to create interactive visuals, like pie charts and graphs, makes a big difference for me. These features make my dashboards stand out and look appealing. The initial setup was quite easy, making it smooth to set up all our Excel sheets and migrate the data. **What do you dislike about Microsoft Power BI?** I don't have specific negatives in mind but there's a need for more tutorial suggestions and certifications to help understand the platform better, especially in DAX queries. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to create interactive dashboards that help non-technical people understand numbers with visuals. It solves the problem of making sense of sales data, handling duplicate and incomplete data easily. ### 38. Streamlines Data Visualization with Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Om S. | Manager, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about Microsoft Power BI?** I use Microsoft Power BI for data visualization and monitoring KPIs, which helps in reporting to our immediate and senior management. It's easy to handle large chunks of data with Power BI, as it simplifies transporting data and creating dashboards. I love how it is seamlessly integrated with data, especially when transposed to a CSV or Excel file, making it easy to get the right data points for visualization and clean up the data. The setup was very easy and quick, particularly because it’s a Microsoft product that we’ve been using for a long time. Overall, I find it very effective in presenting highly interactive visual dashboards. **What do you dislike about Microsoft Power BI?** Sometimes when we use it for data cleanup, the tools aren't sufficient enough, so we need to go back to basics with Excel to get it done. I also think the Copilot isn't very effective with Power BI right now, so there's definitely room for improvement in that area to visualize clean data more properly. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI for data visualization, monitoring KPIs, and reporting to management. It makes handling large datasets easy, creating interactive visual dashboards and integrating seamlessly with Excel for effective data presentation and cleanup. ### 39. Attractive Visualizations and Efficient Data Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Delia Elizabeth C. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about Microsoft Power BI?** I like how easy it is to use Microsoft Power BI if you have experience with Excel and its ability to work with large volumes of data. The default charts and visualizations are really attractive, and you also have the possibility to add very powerful extra visualizations and objects. The direct connections to SAP, Salesforce, and Google Analytics work wonderfully. The initial setup was very easy, our IT team installed it, and then each of us started creating our dashboards and automating data cleaning, which used to take us a lot of manual work. **What do you dislike about Microsoft Power BI?** The ability to give permissions to different users for different sheets within the same project depending on their role in the company, I haven't found how to do it. Customize each sheet and view so that it is possible to filter who can see them and who cannot, or depending on the company group they are added to. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to have business information accessible and easy to understand, improving and speeding up decision-making. ### 40. Intuitive, Embeddable, and Versatile **Rating:** 5.0/5.0 stars **Reviewed by:** Leticia A. | Senior Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 29, 2026 **What do you like best about Microsoft Power BI?** I like that Microsoft Power BI is intuitive to use, making it easier for me to create dashboards. I also appreciate the powerful DAX functions because they help me a lot by allowing me to create subtables with the right calculations instead of having to create new data sources. The initial setup was very straightforward, probably because we already had some background. We've been using Microsoft Power BI for 5 or 6 years after switching from Tableau, and I am highly likely to recommend it to a friend or colleague. **What do you dislike about Microsoft Power BI?** It would be great if we can use Claude inside (just like inside Excel). Just a simple chat with Claude could help a lot because it's sometimes hard to find where the issues are. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to create dashboards for various areas like purchases, sales, and more. DAX functions save time by creating subtables with correct calculations, avoiding new data sources. ### 41. Featured Customization and Ease of Use **Rating:** 4.5/5.0 stars **Reviewed by:** Fernando Karl P. | Founder and Director of Data Analytics, Mid-Market (51-1000 emp.) **Reviewed Date:** April 28, 2026 **What do you like best about Microsoft Power BI?** I use Microsoft Power BI to generate reports for the business where I am working, and I like all the customization options that the charts have, the connections to data sources, and the ease of use with Excel and the Microsoft ecosystem. I can go into great detail on how I want the charts to look, colors, texts, and even how they interact. The data connections are very varied and customizable, from common sources to direct access to SQL databases. With the Microsoft ecosystem, it is possible to send emails, alerts, etc. Additionally, the initial setup was quite easy, although I acknowledge that the learning curve to create a professional dashboard can be complicated, for basic things it is easy to use. **What do you dislike about Microsoft Power BI?** I think there are some charts missing, but for that they have a gallery where people generate and publish different charts. Also, the issue of the price might be something I don't like as much, you have to pay for each viewer even though the desktop version is completely free. **What problems is Microsoft Power BI solving and how is that benefiting you?** Allow the executives to see the data interactively to gain insights faster. I like the customization of charts, connections to data sources, and the integration with Excel and the Microsoft ecosystem. ### 42. Transforms Data with Seamless MS Integration **Rating:** 4.5/5.0 stars **Reviewed by:** lakshya v. | Junior Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Microsoft Power BI?** I like Microsoft Power BI for its wide range of data source integrations. It easily connects to databases, APIs, and files, allowing me to use my data quickly without extra setup. Power Query is also a feature I appreciate, as it helps me clean and prepare data simply. Its integration with Microsoft services like Azure, Excel, and Teams enhances my experience, making sharing and collaboration with others very easy. The initial setup was easy, I'd rate it an 8 out of 10. Overall, I would strongly recommend it, giving it a rating of 9 out of 10. **What do you dislike about Microsoft Power BI?** It's slow sometimes when the data model is not optimized, and also DAX is hard and confusing. For speed, Power BI gets slow with big data, so it would be nice if it gave better auto tips to fix performance issues. For DAX, it's kinda confusing at first, so clearer errors and better built-in help would make it way easier to learn and use. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to make interactive dashboards and reports. It helps convert scattered data into clear insights for our clients. I appreciate its wide range of data source integrations, which makes sharing and collaboration easy with tools like Azure, Excel, and Teams. ### 43. Scalable, Auto-Refreshing Reports with Easy Report-Building UI **Rating:** 4.0/5.0 stars **Reviewed by:** Swapnil J. | Senior Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** April 27, 2026 **What do you like best about Microsoft Power BI?** Scalable auto refreshing reports which can be used for executive reporting at enterprise level. Regular updates and integration with a wide variety of input data sources makes it flexible to use for diverese use cases. UI is easy to work with for creating reports by analysts. Since it comes bundled with other microsoft products people are comfortable using it and its much cheaper compared to alternaitves like tableau. **What do you dislike about Microsoft Power BI?** Analysts need to know M query and DAX measures language to be able to create scalable reports. Even on-baording new users can be slow because of the technical depth it requires for people to know. With huge datasets refresh time can be slower. It lacks flexibility of write back data to the source unlike some other visualization tools in the market. The integration of AI/Copilot is not that helpful and can be very superficial at best. **What problems is Microsoft Power BI solving and how is that benefiting you?** We create execitve level reports as well as dashboards for internal business users who want to understand the insights and trends at a more granular level. We are ingesting data from multiple platforms on powerBI and creating visual reports. Before powerBI we were using excel/vba to create these reports and it used to consume a lot of time fixing the vba even for a very small change in the data structure. ### 44. Intuitive UI, Easy CRM Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Mitesh B. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 25, 2026 **What do you like best about Microsoft Power BI?** I feel Microsoft Power BI has a good user interface and is comparatively easier to learn for someone who hasn't used any BI tool before, making it accessible for a novice. It has a good integration with the CRM, making it easier to pitch reports and being part of the same ecosystem helps a lot with just a few clicks. I appreciate the feature of putting and drilling down filters, which helps to get very niche details on the reports. **What do you dislike about Microsoft Power BI?** For Microsoft Power BI, I think it would be more better if we can get more distilled data on every prompt instead of just normal reports. If we could drill down those reports with the help of prompts, especially written prompts, and more use of voice prompts, that would be helpful. This could benefit business users who are in non-tech roles and functional roles. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to solve issues with data updates from Microsoft Dynamics CRM, enabling weekly sentiment and performance analysis. ### 45. Intuitive, Quick to Adapt, and Seamlessly Integrated **Rating:** 4.5/5.0 stars **Reviewed by:** Ali N. | Human Resources Specialist II, Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Microsoft Power BI?** I really find Microsoft Power BI very easy to use. The interface is super user-friendly. It's really easy to create reports, download them, and present data without needing to spend a lot of time on training. I like being able to navigate around and find the right information quickly, as well as download data in multiple formats, which makes presenting it the way we want much easier. I also appreciate the sleek design and how clearly the information is presented, which has made my experience so far really good. **What do you dislike about Microsoft Power BI?** My experience with Power BI has been great so far, and I have found nothing I dislike about it. **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to analyze and present reports, helping to see data patterns and make business decisions. It allows us to present business data and see patterns easily. The user-friendly interface makes it easy to create, download, and present reports without much training. ### 46. User-Friendly BI Tool with Robust Integrations **Rating:** 4.0/5.0 stars **Reviewed by:** Madhu V. | Service Delivery Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Microsoft Power BI?** I use Microsoft Power BI mainly for data visualization and business intelligence. It really helps with visualizing data for making business decisions. The best part is its user-friendliness and how quickly you can start using it. It has a lot of integrations, and even beginners can use it without much trouble. I like that it comes with both a desktop version and is integrated with Microsoft services. The desktop version is particularly useful for offline use. Additionally, I find it easier and faster to connect data from multiple sources thanks to the various connectors available. The integration with tools like Google Analytics is very beneficial. The initial setup was straightforward and clear with the proper documentation in place. **What do you dislike about Microsoft Power BI?** Nothing as I see now as they are improving at max **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI for business intelligence and visualization, ensuring data is portrayed properly. It's crucial for making business decisions, with user integration and connectivity to various data sources, providing an easier and faster data handling experience. ### 47. Impressive, Customizable Dashboards **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Construction | Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Microsoft Power BI?** Once you have everything set up and pulling data to create a dashboard it really is impressive, we have several dashboards on power bi and the function to get it to refresh the data at a certain time is really useful. The ability to customise the dashboard is great and you can really make something impressive to look at and the endless options of how to display the data is impressive, never had an issue with performance it always refreshes when its meant to and loads quickly when moving through and selecting certain data to refine the dashboard. the support is next to none as any issue they can help you resolve as depending on the dashboard we are working on it can get quite complicated. **What do you dislike about Microsoft Power BI?** Building a new dashboard from scratch can be quite a task as depending on what you want to show can become quite complicated, but support is good at assisting when you run into something you can't solve. **What problems is Microsoft Power BI solving and how is that benefiting you?** We used to manually populate and update our dashboards on excel which was very time consuming and honestly a process that nobody enjoyed doing, Power BI on the other hand once set up manages itself and frees up everyone's time to concentrate on other important areas within the business but the directors still have a top level dashboard that they can easily drill down into and are happy to share as it looks great. ### 48. Power BI Turns Messy Data Into Clear Insights - A Smarter Way to Work With Data **Rating:** 5.0/5.0 stars **Reviewed by:** MD D. | QA, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about Microsoft Power BI?** What stands out to me about Microsoft Power BI is the way it quietly shifts your role from someone staring at numbers to someone having a conversation with them. Data stops feeling like a static report and starts behaving more like a system you can interrogate, challenge, and reshape on demand. In our work at Klizos Solutions, the real value shows up in how it removes hesitation from decision making. Instead of waiting on layered approvals or technical gatekeeping, teams can test assumptions immediately, adjust their view, and see the impact unfold without friction. That sense of control changes not just speed but also the quality of thinking behind every choice. There is also an interesting balance in how it reveals its complexity. You can begin with simple visuals and get useful outcomes, but as your curiosity grows, it opens doors into deeper modeling and logic without forcing you into a rigid path. It does not overwhelm upfront, yet it refuses to stay shallow if you push it further. What I appreciate most is that it does not try to impress with noise. It creates clarity. It invites you to question what you see, refine your understanding, and arrive at conclusions that feel earned rather than assumed. That shift from passive viewing to active reasoning is where its real strength lives. **What do you dislike about Microsoft Power BI?** I have not come across any significant drawbacks while using Microsoft Power BI in my workflow. The platform consistently delivers a smooth experience, from data preparation to visualization and analysis. It supports both quick insights and deeper exploration without creating unnecessary friction. In my experience at Klizos Solutions, it has remained reliable and adaptable across different use cases. Whether working with simple reports or more detailed analytical models, it maintains a good balance between usability and capability. Overall, I find it to be a well rounded tool that meets expectations effectively, and I have not encountered any limitations that impact my work in a meaningful way. **What problems is Microsoft Power BI solving and how is that benefiting you?** Microsoft Power BI solves the problem of scattered and underutilized data. In many workflows, information lives across multiple systems, spreadsheets, and reports, making it difficult to get a clear and consistent view of what is actually happening. Power BI brings that data together into a single, interactive layer where it can be explored and understood in context. It also addresses the delay between asking a question and getting an answer. Traditionally, generating reports or modifying metrics requires back and forth with technical teams, which slows down decision making. With Power BI, that dependency is reduced because users can interact with the data directly, adjust views, and uncover insights in real time. Another problem it solves is the lack of clarity in raw data. Numbers on their own do not communicate much, but when they are structured and visualized effectively, patterns and trends become easier to recognize. Power BI transforms complex datasets into visuals that support better understanding and more confident decisions. For me, the benefit has been a more streamlined and independent workflow. Instead of waiting for static reports, I can explore data dynamically, validate assumptions quickly, and respond to changes with more confidence. It has also improved the quality of discussions within the team, since decisions are backed by shared, clearly presented insights rather than fragmented information. ### 49. Exceptional Versatility and Insight with Power BI **Rating:** 4.5/5.0 stars **Reviewed by:** Allon M. | CSM Team Lead, Telecommunications, Mid-Market (51-1000 emp.) **Reviewed Date:** May 07, 2026 **What do you like best about Microsoft Power BI?** I love how easy Microsoft Power BI is to use, export data, and how versatile it is. It provides insights that we can't find through our management portal. We can drill down into numbers and find exactly what details we need to better manage our customers. The ease of use and versatility of Power BI cater to various boards focusing on different topics, and having the ability to request a BI board for specific needs gives our team and the CSM team better visibility and more options for exporting. **What do you dislike about Microsoft Power BI?** There are performance problems when large amounts of data are involved. This can limit the use of the boards **What problems is Microsoft Power BI solving and how is that benefiting you?** I use Microsoft Power BI to manage our customers by viewing trends, usage reports, and deployment progress. It provides insights we can't get elsewhere, allowing us to drill down into the numbers for better management. ### 50. Power BI Makes Complex Data Clear with Seamless Integrations **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Building Materials | Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2026 **What do you like best about Microsoft Power BI?** I love Power BI because it takes a complicated amount of data and makes it clear and approachable, even for people who aren’t used to working with computers or analytics. The integrations across our company’s tools are seamless, and Power BI works well with all the systems we use for user adoption and reporting. Because of its flexibility, clarity, and strong integration across platforms, Power BI has become our go‑to analytics platform. **What do you dislike about Microsoft Power BI?** Power BI can be very tedious, and it requires a high level of accuracy when preparing and modeling data. If your data isn’t set up correctly from the start, it can cause issues throughout the entire report. Because of this, having access to good support is extremely important. The Power BI community is very helpful and includes people with deep expertise, as well as users who are completely new to the platform—like myself. As a beginner, the learning process often involves trial and error, especially when things don’t come out the way you expect. While it can be challenging at times, working through these issues and learning from the community has been an important part of improving my understanding of Power BI. **What problems is Microsoft Power BI solving and how is that benefiting you?** We currently use Power BI to measure data related to digital adoption across our company. It allows us to see how many users are actively engaging with specific platforms, what tools they are using, and how those tools support digital adoption efforts. This level of visibility has been extremely valuable for understanding usage patterns and overall adoption. Power BI is a robust system that measures performance metrics in great detail, which can make it challenging to work with at times. However, the depth of insight it provides is unmatched. For the price we paid, it feels like a long‑term investment that will pay for itself over the coming years through better decision‑making and clearer insights. There are AI‑driven capabilities within the platform, but fully leveraging them requires time and experience. Power BI has a learning curve, and it’s something that takes consistent use to get comfortable with. While I’m still getting used to it, I can see its long‑term value and potential as we continue to learn and refine how we use it. ## Microsoft Power BI Discussions - [Is Power BI a Microsoft tool?](https://www.g2.com/discussions/is-power-bi-a-microsoft-tool) - 5 comments, 3 upvotes - [What can Microsoft Power BI do?](https://www.g2.com/discussions/what-can-microsoft-power-bi-do) - 2 comments, 2 upvotes - [What is Microsoft Power BI Desktop used for?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop-used-for) - 4 comments, 1 upvote - [HOW DO I START MY CAREER IN IT?](https://www.g2.com/discussions/how-do-i-start-my-career-in-it) - 2 comments, 1 upvote - [How do you rate the MS Power BI Desktop compared other BI tools available in the market?](https://www.g2.com/discussions/how-do-you-rate-the-ms-power-bi-desktop-compared-other-bi-tools-available-in-the-market) - 2 comments, 1 upvote - [View Microsoft Power BI pricing details and edition comparison](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-28+13%3A38%3A24+-0500&secure%5Bsession_id%5D=72cde533-1c17-4a6e-9b46-20b4fd3412b8&secure%5Btoken%5D=ce86af981ad9ba9d385a05a904b0902aceb0d5a9d8e322cb3aeb5aabb2a113e4&format=llm_user) ## Microsoft Power BI Integrations - 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Multi-Environment & Multi-Cloud Support - Open API & SDK Integration **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Data Connectivity & Federation - Semantic Layer Tools** - Cross-Source Query Federation - Dynamic Schema & Metadata Adaptation **Generative AI** - AI Text Generation - AI Text Summarization **Data Modeling & Metrics - Semantic Layer Tools** - Derived & Calculated Metrics - Time Intelligence Functions **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance Optimization - Semantic Layer Tools** - Query Caching & Acceleration - Adaptive Query Optimization **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Governance - Semantic Layer Tools** - AI Governance & Observability - Metric Lineage for AI Training Data - Version Control & Change Impact Analysis **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Advanced Intelligence - Semantic Layer Tools** - Natural Language Query Interface - Semantic Layer for AI/ML Models - Recommendation Engine **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Enablement - Semantic Layer Tools** - Agentic Query Orchestration - Contextual Reasoning Layer - Workflow Automation via Semantic Agents **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - 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