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SmartData Collective > Uncategorized > Data Preparation Is Essential for Predictive Analytics
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Data Preparation Is Essential for Predictive Analytics

Tony Cosentino
Last updated: 2015/08/31 at 5:00 AM
Tony Cosentino
0 Min Read
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Our research into next-generation predictive analytics shows that along with not having enough skilled resources, which I discussed in my previous analysis, Our research into next-generation predictive analytics

 shows that along with not having enough skilled resources, which I discussed in my previous analysis, NGPA AP #4 image 1the inability to readily access and integrate data is a primary reason for dissatisfaction with predictive analytics (in 62% of participating organizations). Furthermore, this area consumes the most time in the predictive analytics process: The research finds that preparing data for analysis (40%) and accessing data (22%) are the parts of the predictive analysis process that create the most challenges for organizations. To allow more time for actual analysis, organizations must work to improve their data-related processes.

Tony Cosentino August 31, 2015 August 31, 2015
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