Predictive Analytics: A Critical Part of an Evolved Decision Support Platform (Por TDWI) - ERP Spain.com - España y América Latina

Why predictive analytics now? Many companies use BI to better understand what has already happened in their business—a backward-looking view. Although this can be somewhat useful, organizations can gain real value by harnessing their valuable corporate data to understand why something is happening now, and more important, what's likely to happen next. Improved data platform technology and advanced analytics are now available for companies so they can start looking ahead to uncover new opportunities, predict problems before they become reality, identify root causes, and realize actionable, real-time insights for unfolding situations, thus gaining an edge over their competitors.

What You Will Learn

About the need to evolve from simple reporting and multi-dimensional analytics to more advanced—and more valuable—analyses 

What skills and technologies are needed to support the move to predictive analytics 

What you need to run what-if-scenarios in split seconds, gain instant awareness and instant action on "in-flight" data, and adapt business strategy in real time