BI Trends

New Findings on Adoption of Analytics: Why Embedded BI Is Taking Over

By Michelle Gardner
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Traditionally, analytics tools have existed as standalone self-service and data-discovery solutions. Although the availability of these traditional tools has increased over the past two years, according to Logi’s 2017 State of Analytics Adoption Report, the usage of self-service analytics tools is in a two-year decline – down 20% since 2014.

The fact is these tools force users to switch from their standard applications to a separate analytics app – causing friction and contributing to the lack of adoption. End users don’t want to adopt them because they find them difficult to use, they dislike switching over from their usual applications to separate analytics tools, and they lack easy access to analytics tools in their daily workflows.

Jen Underwood, Founder and Principal Consultant of Impact Analytix, recently commented on the new findings from Logi. “Self-service BI, while still strong, is no longer at the forefront of the analytics world,” Underwood said. “Embedded BI—which integrates analytic content and capabilities within business applications and portals—is currently the fastest growing area in business intelligence. And after relishing in the self-service BI revolution for the past few years, businesses now have a renewed appreciation for traditional reporting.”

Considering the two-year decline of adoption of standalone self-service analytics, we believe that adoption of self-service BI has reached its peak. Despite more access to these tools, over 83% of business users said they have a strong desire to stay in one application rather than switch over to a separate analytics app.

That’s why bringing information into an application – right when and where a decision is needed – via embedded business intelligence is the best way to offer analytics to end users.

“Aside from human resistance to change, business users who don’t analyze data for a living are not likely to be interested in it—nor have the time to learn how to do so,” noted Underwood. “I never believed everyone would embrace self-service analytics. Especially if they did not look at analytics built by others.”

As more analytic capabilities are embedded into the fabric of BI applications, Underwood said, it will ultimately reduce the need for self-service BI tools. With the increase in desire for and access to more modern embedded analytics tools, business intelligence appears to be moving in that direction.

“Changing human behavior is the fundamental challenge to conquer,” said Underwood. “Thus embedding analytics into the apps the business already uses might just be the magical BI adoption formula for truly becoming a data-driven organization.”


Originally published December 12, 2016; updated on June 13th, 2018

About the Author

Michelle Gardner is the Director of Corporate Marketing & Communications at Logi Analytics. She has over a decade of experience writing and editing content, with a specialty in software and technology.