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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Yurbi provides a self-hosted, embedded analytics BI platform that can be white-labeled and embedded into your hosted and on-premise applications. Yurbi provides Software Vendors an affordable option
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- Overview
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The first customer portal built to change as often as your customers' requirements do. Easily create, personalize, update, and maintain a data-driven customer experience with Zuar. Behind every “ado
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G2 Grid® for Embedded Business Intelligence
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Embedded business intelligence software features
Embedded business intelligence software tends to have a wide range of features, including visualization, reporting, and data modeling. The following features are found in most embedded business intelligence software.
- Data modeling: Embedded business tools with data modeling capabilities support self-service data modeling, blending, and data discovery processes. These advanced analytics capabilities allow the user to get a high-level view of the data and understand it well.
- Visualizations and reporting: Users can create reports and other user-friendly visualizations to better illustrate data and gain a competitive advantage.
- Integratable: When embedded business intelligence capabilities are integrated into a business application, users can access dashboards, visualizations, and reports.
- White labeling: Embedded business intelligence software allows developers to white label and seamlessly integrate analytics to match the look and feel of any given application.
- Other features: Embedded business intelligence systems also feature auto modeling, collaboration and workflow, and search capabilities.
Benefits of embedded business intelligence software
- Faster data gathering: Embedded business intelligence tools enable business users to gather data, access insights, and make informed business decisions faster.
- Improved productivity: Embedded BI and analytics tools improve productivity by eliminating the need to look back and forth between applications for data.
- Improved business performance: Companies using embedded business intelligence applications easily integrate operations with analytics.
- Competitive advantage: Embedded business intelligence solutions also help business owners formulate the right differentiation strategy by providing timely business insights. Organizations can use this data to understand target markets, discover new opportunities, and optimize performance.
- Self-service reporting: Embedded business intelligence solutions feature drag-and-drop interfaces, enabling users to create and customize reports and dashboards.
- Lower initial and ongoing costs: Embedded BI solutions eliminate the need to build reporting, data visualization, and analytics capabilities from scratch. As a result, organizations save initial costs and ongoing expenses because they don't have to worry about maintenance or upgrades.
Embedded business intelligence software pricing
According to G2 data, embedded business intelligence systems can cost anywhere between $10 and $840 annually per license. The average annual price per license is $328.24.
Most embedded BI vendors offer a free plan alongside the following paid plans.
- Quote-based pricing: These pricing plans are flexible and vary depending on the features an organization requires in its BI application.
- Tiered pricing plans: Most embedded business intelligence tools also offer fixed, tiered pricing plans with varying features. Smaller businesses can start with basic plans and move to premium plans depending on business requirements.
- Module-based pricing: Some embedded BI solution providers offer module-based pricing, where customers pay for the basic module and can add other modules for additional charges.
How to buy embedded business intelligence software
- Understand business needs: Not all businesses need extensive BI applications. That's why it's best to start by looking at existing systems and checking whether an organization already has a tool with BI capabilities. At this stage, you'll need to understand who will use the embedded business intelligence application and for what purposes. Gathering these requirements is critical for selecting the right tools.
- Discuss data architecture: At this stage, organizations must create a team of business professionals and IT team members who will use the BI application. This BI team must discuss the data architecture suitable for their organization with key stakeholders. They must consider key elements like data warehouses, centralized data hubs, and data mart separation while determining the most appropriate data architecture.
- Software comparison and selection: An organization must consider multiple factors as they compare available embedded business intelligence software solutions. For example, they must seek answers to questions like whether the solution can efficiently handle increasing data volumes and is easy to use for users of all skill levels. The tool should feature robust data security measures, customization options, and easy setup. Stakeholders also must look at upfront and long-term expenses before finalizing the software they want to buy.
- Implementation: The last step involves onboarding and rolling out the embedded business intelligence solution with organizational end users. Consider sharing educational materials and best practices and offering ongoing support for a smooth implementation.
Researched and written by Matthew Miller
