Data Preparation Is Essential for Predictive Analytics

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, the 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.