Best Embedded Business Intelligence Software
Embedded business intelligence software provides analytics capabilities within the context of a business application. Software developers can use embedded business intelligence tools to quickly incorporate self-service analytics capabilities into business applications. Additionally, some business intelligence platforms and self-service business intelligence software provide the ability to embed dashboards into applications used internally by employees, to allow for easier and more convenient analysis. The tools differ in terms of the degree of embeddability and the extent to which end users can customize the analytics and dashboards.
Embedded BI products provide developers with a software development kit for adding analytics functionality to a given application, making it easy to house the analytics inside a proprietary product. While these tools may be sold to enterprise companies to be deployed in internal systems, they are by and large sold to other software companies.
Embedded analytics are intended to be used by the average business user within an application, therefore they commonly offer self-service analysis functionality. However, if the product cannot be used as a standalone self-service business intelligence tool in addition to its embedding capability, it only qualifies for the Embedded Business Intelligence category.
To qualify for inclusion in the Embedded Business Intelligence category, a product must:
Best Embedded Business Intelligence Software At A Glance
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Keen.io is the complete event data management solution. Our platform can handle all aspects of your event data management, from collection to application. Stream, store, query, and present your data a
- Computer Software
- 75% Small-Business
- 25% Mid-Market
24,608 Twitter followers
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The only true visual data science platform. Spotfire makes smart people smarter by combining interactive visualizations and advanced analytics to solve complex industry-specific business problems. Thr
- Student
- Manager
- Oil & Energy
- Information Technology and Services
- 53% Enterprise
- 25% Mid-Market
95 Twitter followers
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- User Satisfaction
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Editable data visualizations for the web. Easily pick a data visualization template, customize it and publish on your website.
- 53% Small-Business
- 27% Enterprise
110 Twitter followers
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Qrvey is an embedded analytics solution specializing in multi-tenant analytics for SaaS applications. Qrvey’s goal for product teams is to empower you to build less software and deliver more value.
- Computer Software
- Information Technology and Services
- 55% Small-Business
- 45% Mid-Market
708 Twitter followers
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Analyzer™ harnesses a powerful partnership with Microsoft SQL Server Analysis Services. Analyzer’s OLAP-based design lets users explore their data in any direction, allowing them to validate theories
- Computer Software
- Information Technology and Services
- 76% Mid-Market
- 14% Small-Business
478 Twitter followers
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- User Satisfaction
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Orcablue is a fast and intuitive data visualization tool designed to seamlessly embed analytics into platforms. With Orcablue, companies can provide their customers with rich, customizable analyti
- 91% Small-Business
- 9% Mid-Market
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- User Satisfaction
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Phrazor by vPhrase Analytics is a self-service augmented analytics solution that delivers AI-powered stories from data. It uses NLG capabilities to automatically generate deep insights from complex da
- 43% Enterprise
- 43% Mid-Market
285 Twitter followers
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- User Satisfaction
- Seller Details
The Flexmonster Pivot Table & Charts Component allows users to create pivot tables and pivot charts. - Easy to integrate: can be natively used with JavaScript or TypeScript and perfectly integrat
- 45% Small-Business
- 36% Enterprise
1,181 Twitter followers
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- User Satisfaction
- Seller Details
Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transf
- Information Technology and Services
- 65% Small-Business
- 17% Mid-Market
274 Twitter followers
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- User Satisfaction
- Seller Details
Cluvio is a cloud analytics platforms for startups and SMEs that allows to quickly create interactive dashboards based on SQL and R and share them within your team.
- 73% Mid-Market
- 18% Small-Business
60 Twitter followers
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Cyberquery is a fast, easy-to-use, Business Intelligence solution which includes dashboards, reporting, analysis and data exploration for power users, occasional users and IT professionals.
- Information Technology and Services
- 50% Mid-Market
- 40% Enterprise
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- User Satisfaction
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- 67% Small-Business
- 33% Mid-Market
12 Twitter followers
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Grow is a no-code full-stack business intelligence (BI) platform that empowers everyone in your organization to make data-driven decisions. By combining ETL, data warehousing and visualization in one
- Account Manager
- Data Analyst
- Marketing and Advertising
- Computer Software
- 67% Small-Business
- 30% Mid-Market
9,516 Twitter followers
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Collaborative web-based BI platform that is straightforward to implement and use. Kyubit BI uses your OLAP, SQL, and CSV data sources to deliver fast and beautiful reports and dashboards that could be
- 45% Small-Business
- 36% Mid-Market
26 Twitter followers
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- User Satisfaction
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Embedding ORBIT Analytics offers the full power of a business intelligence platform for reporting capabilities with the same look and feel as your current application.
- 67% Small-Business
- 33% Enterprise
232 Twitter followers
Learn More About Embedded Business Intelligence Software
What is Embedded Business Intelligence Software?
Embedded business intelligence (BI) software, also known as embedded analysis software, gives users self-service analytics capabilities within business applications. Software developers use embedded business intelligence tools to build analytics into business applications, giving users access to analytics without relying on third party BI consultants or customer support. The software in this category makes it easy to house analytics inside a specific application. Additionally, some embedded business intelligence platforms provide businesses with embedded dashboards; this allows employees easy access to relevant analysis.
While these tools may be sold to enterprise companies for internal systems such as HR or ERP systems, they are usually sold to other software companies who integrate them in existing software to give the software embedded business intelligence capabilities.
Key Benefits of Embedded Business Intelligence Software
- Empower users to access data during daily workflow without exiting their current application
- Allow users to transform data into a useful and relatable model embedded within a business application
- Create reports, dashboards, and visualizations
Why Use Embedded Business Intelligence Software?
Business applications produce vast amounts of data which can be very useful for end users. Traditionally, business users that wanted to extract and analyze data would use business intelligence platforms; they would need to extract the data from the application and upload it to the platform. Embedded business intelligence is an alternative approach where users can access analytics from within the user interface of the given application. Embedded business intelligence provide users with interactive visual dashboards and reporting functionality within the actual business application.
- Engaged users — Incorporating embedded business intelligence into applications results in higher productivity for end users, since they can access data and analytics within the application they are using.
- Improved efficiency — Companies are seeing a decline in ad hoc analytics requests when embedded business intelligence is deployed.
- Better applications — Users spend more time using applications when they are enhanced with embedded business intelligence, this leads to enhanced productivity and better deployment of the applications.
Who Uses Embedded Business Intelligence Software?
Analytics is no longer out of reach for the everyday employee. Thanks to self-service analytics and embedded business intelligence, data analysis is open to many, and insights can be drawn from data by anyone with basic software capabilities. However, there are still specific positions that utilize this software more than others.
- Software developers — Developers that want to create the next generation of products and services can use embedded business intelligence to build analytics capabilities into their applications, including custom reports and dashboards.
- Business users — Analytics can be at the business user’s fingertips, allowing them to understand the data. The user-friendly designs of this software are especially helpful for users at smaller companies where this type of analysis is a small facet of a user’s job.
- Business analysts — These tools give business analysts the ability to create custom dashboards and reports that serve a variety of stakeholders. These platforms empower analysts to stay up to date on their rapidly changing markets.
- Data engineers — With embedded business intelligence, data engineers can focus on pulling data from disparate sources, furthering their ability to build analytics apps, widgets, and dashboards for business users.
Kinds of Embedded Business Intelligence Software
There are two areas where embedded business intelligence software are typically used, externally and internally. In both cases, analytics capabilities are built into business applications, the only difference is the end user.
- External embedding — Embeds analytics into customer-facing applications to make them more useful, allowing users to understand the data they are viewing or creating. An example of external embedding would be a mobile app development company that builds a portal for clients to access analytics related to their mobile applications.
- Internal embedding — Integrates reports and dashboards into tools a business’s employees use, allowing them to garner insights into their data from a wide range of sources and formats. An example of internal embedding would be a company’s IT department that develops and manages applications used by internal stakeholders and partners to understand internal company data, such as sales and marketing metrics.
Embedded Business Intelligence Software Features
Embedded business intelligence software tend to have a wide range of features, including visualization and reporting and data modeling. The following features are found in most embedded business intelligence software.
- Integratable — When embedded business intelligence capabilities are integrated in a business application, users can access dashboards, visualizations, and reports.
- White labeling — Embedded business intelligence software give developers the ability to white label and seamlessly integrate analytics to match the look and feel of of any given application.
- Visualizations and reporting — Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage.
- Data modeling — Support self-service data modeling, blending, and discovery processes. These advanced analytics capabilities allows the user to get a high-level view of the data and understand it well.
Other features of embedded business intelligence software: Automodeling, Collaboration & Workflow, and Search Capabilities.
Potential Issues with Embedded Business Intelligence Software
Where the product lives — There are a few considerations to make when buying embedded business intelligence software. It may require lots of work by a skilled development team or vendor support staff to embed the business intelligence tool, especially if the data is particularly messy. Some data might not be compatible with different products. Additionally, embedded software still offers self-service qualities that vary in levels of difficulty.
Plan for adoption — At the start, analytics tools may not seem valuable to all employees; end users might struggle to adopt the solutions. Therefore, it’s important for companies to have a plan to encourage and promote user adoption.
Time to market — As with any software implementation, it’s important to think about how long it will take to implement. It’s important to consider related software that a company might need, such as data integration software.
Data security — Don’t make data security an afterthought. Companies must consider security options to ensure the correct users see the correct data. It must also have security options that allow administrators to assign verified users different levels of access to the platform.
