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Embedded Analytics

New Research Reveals Best Self-Service Analytics Is Embedded

By Brian Brinkmann | May 28, 2019
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Even though self-service analytics is a goal for most organizations, only 40 percent report that users are able to analyze data without the help of IT, finds a recent Ventana Research report. The objective of self-service BI is to make business users become self-reliant and less dependent on their IT organizations to answer business questions as they arise.

>> Related: The Definitive Guide to Embedded Analytics <<

If organizations are seeing the value in self-service, why the low adoption rate? While self-service tools are easy to use, they often force users to interrupt workflows and jump from the application they are using over to a standalone tool to analyze data. This is disruptive, time-consuming, and creates an insight-to-action gap. An embedded analytics report from Nucleus Research found that toggling between applications can waste one to two hours per employee each week.

“Unsurprisingly, organizations prefer embedded analytics,” Ventana notes. “Nearly three-fourths (73 percent) of organizations said it is important to embed analytics within other systems.”

Data from Logi’s 2018 State of Embedded Analytics Report revealed that the top complaint from end users is switching between applications. Self-service analytics sees twice the adoption rates when it’s embedded compared to in a separate system—27 percent of end users who have access to standalone self-service solutions actually use those tools on a regular basis, compared to 59 percent of end users who leverage embedded analytics on a regular basis.

It is clear that the best path to self-service analytics is through embedding it into applications. “Applications with integrated analytics enable users to be more self-reliant, which benefits organizations because reducing users’ dependence on IT reduces costs and can enhance results,” Ventana notes in the report.

Simply put, modern applications today must have analytics at their core or risk extinction. Advanced self-service analytics should keep end users inside your application and help them get to the information they need when they need it and where they need it. Self-service analytics is most valuable when it is embedded into your application.

Ready to embed analytics in your application? Watch a demo of Logi Analytics today >

 

About the Author

Brian Brinkmann is the VP of Product Management at Logi Analytics. Brian has over 15 years of analytics and BI software experience. Prior to joining Logi Analytics, he held senior product strategy, management, and marketing positions with MicroStrategy, creating BI applications for marquee customers such as Nike and Franklin Templeton. Brian holds a MBA and a MEM from Northwestern University, as well as a Bachelor of Electrical Engineering from the University of Dayton.

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