Over the last two decades, organizations have built enterprise systems and automated business processes that create a significant volume of structured and unstructured data from internal systems, transactional systems and machine generated data (like GPS system output, RFID tags, Web logs, etc.). By itself, this data isn’t very valuable until it can be effectively transformed into information through deep data analysis, modeling, forecasting and simulations to provide actionable insight and support fact-based decisions and agile strategies

Business intelligence enables greater value around data collection, data integration and standard dashboards and reports through analysis of past performance. Recently, organizations have started to go beyond traditional BI and explore ways to manage business outcomes using descriptive, predictive and prescriptive analytics. (See related graphic number one, left.)

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