As they strive to become more data-driven, many organizations discover that they actually lack real-time insight into customer needs and behavior. At the same time, the data-savvy employees of these companies find they can’t easily access data and analytical insight when they need it most.
The fact of the matter is, traditional on-premise business intelligence (BI) platforms, although effective at creating static views of historical information, fall far short when it comes to flexibility and speed. As a result, companies today increasingly seek alternative and hybrid approaches to analytics, approaches that can provide their staff with the tools needed to do their jobs and serve a new generation of customers.
In this webinar, Aberdeen Group VP and Principal Analyst, Michael Lock, will discuss findings from his latest research into the current state of business intelligence (BI) and analytics. You will learn:
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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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