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:
Featured Embedded Business Intelligence Software At A Glance
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Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platf
Tableau is a data visualization tool that allows users to create charts and dashboards through a drag-and-drop interface, even with large datasets. Users like Tableau's simplicity in creating visuals, its ability to load data from multiple sources, and its quick time refresh feature. Reviewers mentioned that Tableau can be expensive, especially for small teams and individual users, and advanced calculations and customization sometimes require a steep learning curve.
580,855 Twitter followers
Jaspersoft is a reporting and embedded analytics solution that enables flexibility, increases productivity, and gives your business the power to seamlessly integrate data into your applications exactl
121 Twitter followers
Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern int
Amazon QuickSight is a cloud-based business intelligence and data visualization service that integrates with AWS services and external systems, allowing users to analyze data, create dashboards, and share insights. Users frequently mention the seamless integration with AWS services, the ability to handle large datasets efficiently, and the intuitive interface for creating interactive dashboards and visualizations. Reviewers experienced limitations in customization options for visuals and layouts, a steep learning curve for new users, and performance issues with highly complex queries.
2,220,162 Twitter followers
GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData ena
GoodData is a business intelligence tool that provides data visualization and analytics capabilities, enabling users to create custom dashboards and reports. Reviewers like GoodData's flexibility, powerful visualization features, and its ability to integrate with existing tools and databases, which facilitates faster decision-making and streamlines reporting processes. Users reported issues with GoodData's complexity during setup, particularly when connecting multiple systems, and the platform's reliance on structured setup can introduce administrative challenges and affect release dates.
12,664 Twitter followers
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and auto
Sigma is a data visualization and manipulation tool with a spreadsheet-style interface, designed for ease of use and integration into applications. Users like Sigma's ability to handle large volumes of data, its intuitive dashboard functions, and its capacity for real-time exploration and sharing of information. Reviewers experienced performance issues when working with large volumes of data, found the mobile version unintuitive, and noted that the Sigma panel's styling options were somewhat limited.
1,540 Twitter followers
IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user
IBM Cognos Analytics is a tool that provides enterprise-grade reporting and data analysis capabilities, including the creation of dashboards and complex reports. Reviewers like the tool's ability to handle large quantities of data, its data integrity and governance, its AI-driven insights, and its user-friendly interface that allows for easy creation of dashboards and reports. Reviewers noted that the mobile experience is poor, the initial onboarding experience can be challenging for new users, the cost is high, and complex reports can cause the tool to run slow.
708,744 Twitter followers
Yellowfin is the only analytics suite that successfully combines action based dashboards with industry-leading automated analysis and data storytelling. By delivering the best analytical experience,
Yellowfin BI is a business intelligence tool that connects to multiple data sources, enabling aggregated views across finance and operations, and focuses on delivering analytics to end users. Users like Yellowfin BI's user-friendly interface, quick customer support, and unique features such as Data Storytelling and Pixel-perfect Reporting, which simplify data analysis and report creation. Reviewers experienced issues with Yellowfin BI's performance at scale, particularly with large datasets, and found that some advanced features have a steep learning curve and require technical knowledge to use effectively.
5,802 Twitter followers
Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g
Domo is a business intelligence tool used to aggregate data from various sources and display it in a unified manner, with features such as custom visualization and app creation. Reviewers appreciate Domo's ease of use, its ability to cater to non-technical users, and its Magic ETL feature which simplifies data transformation and visualization. Users experienced issues with Domo's performance during product launches, difficulties in data cleaning and sorting, and complexities in the pricing model and licensing.
63,798 Twitter followers
Hex is the world’s best AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now &g
Hex is a data analysis tool that integrates SQL, Python, and AI, allowing users to query databases, create dashboards, and perform complex data manipulations. Reviewers appreciate Hex's user-friendly interface, its ability to seamlessly integrate with various data sources, and the AI features that assist in writing queries and speeding up work processes. Users mentioned issues with Hex's performance, such as slow speed, occasional crashes, and updates that disrupt existing setups, as well as limitations in chart options and difficulties in notebook organization.
6,664 Twitter followers
Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access da
Oracle Analytics Cloud is a platform that integrates within the Oracle ecosystem to manage large-scale data and provide self-service analytics tools for creating interactive dashboards and advanced visualizations. Users frequently mention the platform's intuitive and accessible interface, its ability to easily explore and analyze data, and the variety of visualizations and reports that can be created, making the presentation of information clear and attractive. Reviewers experienced complexity in the initial setup and configuration, a steep learning curve for advanced features, and challenges in optimizing performance for extremely large datasets without proper tuning.
825,317 Twitter followers
Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metr
Looker is a data analytics tool that transforms raw data into shareable dashboards and reports, with a powerful modeling layer, LookML, for consistent and scalable reporting. Users like Looker's flexibility, its ability to create interactive, real-time dashboards, and its seamless integration with modern data warehouses and Google Cloud services. Users experienced a steep learning curve with LookML, slower dashboard load times with large datasets, and found the cost to be high for smaller organizations.
31,775,247 Twitter followers
Interactive Charts and Data Tools.
31,775,247 Twitter followers
ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take ac
ThoughtSpot is a data analysis tool that allows users to easily access and interpret data. Reviewers frequently mention the ease of use, the ability to build relationships within the data model, clear documentation, seamless integration of AI capabilities, and a well-designed user interface that aligns closely with market needs. Reviewers noted that the platform is difficult to learn, the initial setup is confusing, it has limited customization options, and the process of adding users and granting access is unnecessarily drawn out.
10,987 Twitter followers
🚀 Strategy One – the AI+BI Platform for Enterprise Analytics at Scale What is Strategy One? Strategy One is the enterprise AI + BI platform that powers data-driven decision-making at scale. Buil
MicroStrategy is a business intelligence tool that provides data visualization, reporting, and analytics capabilities. Reviewers appreciate the tool's ability to handle large volumes of data, its user-friendly interface, and the flexibility of its dashboards, which allow for easy data exploration and analysis. Users reported a steep learning curve, occasional bugs, and difficulties in integrating Microsoft Excel files into dashboards, as well as dissatisfaction with the focus on Bitcoin at a recent conference.
302,662 Twitter followers
Reveal is a business intelligence solution that is purpose-built for embedded analytics. It comes with no added requirements, flexible architecture, and no complex licensing, so that you can add robus
36,958 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.
