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Eckerson Group: Embedded Analytics are the Future of Business Intelligence

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Eckerson Group: Embedded Analytics are the Future of Business Intelligence

The Business Intelligence landscape is evolving rapidly. Historically, BI tools have focused on providing internal teams of analysts the ability to consolidate and interpret data from many sources, usually with the desired outcome of affecting difficult-to-quantify benefits such as improved efficiency or 'better decision making.’ Now, the evolution of Embedded Analytics is changing the game. By embedding analytics into their core business applications, organizations in every industry can cement ties with their customers and suppliers, define their ‘digital identity,’ and open the door to monetizing the valuable asset that is their owned data.

Core to this transformation is the fact that businesses are increasingly coming to the realization that their data is inherently valuable, not only to their internal teams but to their entire business network. The data that businesses generate every day can be an incredibly valuable resource to their customers, but more than 60% of companies report that they have more data than they can use efficiently. The key then is knowing how to transform your raw data into information that provides clear, actionable insights that your business networks can actually use. Recent research from the Eckerson Group shows that embedded analytics offer an answer, as they “close the last mile of BI by helping business people turn insights into action.”

The Eckerson Group report is packed with critical information about how embedded analytics are transforming the BI landscape and helping companies achieve their strategic goals and financial objectives. In the report you’ll learn:

  • How embedded analytics help close the “last mile” of delivering valuable data and analytics to business decision makers
  • Key considerations while deciding whether to build or buy when embedding analytical functionality in your applications
  • Critical business and technical considerations for successfully deploying embedded analytics

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