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Nucleus Research: Business Users Demand Embedded Analytics

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Nucleus Research: Business Users Demand Embedded Analytics

Did you know that in the next five years, 90 percent of analytics solutions for business users will be embedded in other core applications?

That’s what Nucleus Research reports in their latest data and analytics research note, The Evolution of Embedded Analytics. As the “democratization of data” places analytics in the hands of business users across the organization, the demand for embedded, visual, easily digested information is on the rise.

Business users such as sales teams demand the data required to make better decisions, but have little desire to toggle back and forth between apps or to interact with a complex dedicated analytics tool. Embedding data into core applications helps the organization on three levels:

  • Adoption: For an analytics tool to deliver ROI, it must be used. Since analyzing data is a low priority for business users, convenience and ease of use is a must. Embedded analytics offers them the easy, in-context accessibility needed to facilitate adoption of the app.
  • Context: Embedding analytics enables users to approach an analysis with better understanding of how a specific insight can help them.
  • Productivity: Nucleus discovered that toggling between applications a primary application and a standalone analytics application can take up as much as 1 to 2 hours of an employee’s time per week. Embedded analytics allows users to incorporate analytics into their daily activities without adding another task into their day.

So, what’s next? According to Nucleus, embedded analytics will play an ever larger role in the daily lives of employees at all levels of the organization. “In the next 7 years,” the report concludes, “90 percent of business users will interact with analytics at least once per day but only 15 percent will realize it.”

To learn more about why embedded analytics are the future of organizational data, download the Nucleus Research paper here.

Written by GoodData Author  | 

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