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Embedded Analytics: Grow Revenue and Value

June 9, 2016 @ 11:00 am - 12:00 pm

June 9, 2016 | 11am PT | 2pm ET

Organizations in every industry are increasingly monetizing their data assets by embedding reports, dashboards and self-service analytics into their outward facing applications. This strategy can open new revenue streams, boost customer retention and increase competitive advantage.

Join us as industry expert Wayne Eckerson and Jeff Morris, VP of Data Monetization Strategy at GoodData discuss the Eckerson Group’s recent reports, “Embedded Analytics: The Future of Business Intelligence,” and “Which Embedded Analytics Product is Right for You?”

Topics discussed will include:

  • How embedded analytics help close the “last mile” of data and analytics delivery
  • Key considerations when deciding whether to build or buy
  • Critical business and technical considerations for successfully deploying embedded analytics
  • Key criteria for evaluating embedded analytics solutions
Register here


June 9, 2016
11:00 am - 12:00 pm
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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.

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