Case Study

Federal Agency Achieved Dramatically Improved Associative Data Modeling Efficiency and Quality through the use of In-Memory Business Intelligence So

Federal Agency Achieved Dramatically Improved Associative Data Modeling Efficiency and Quality through the use of In-Memory Business Intelligence So

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Federal Agency Achieved Dramatically Improved Associative Data Modeling Efficiency and Quality through the use of In-Memory Business Intelligence Software The Challenge: When a Federal agency client was faced with the challenge of determining where and how to assign resource allocations across nearly 100 sites throughout the US, IntelliDyne provided the solution. In order to determine allocation assignments, agency staff had to correlate a massive amount of internal and external reporting date with voluminous US Census Bureau and open source statistical data to identify and predict work load trends. The agency’s existing internal work management system cataloged and categorized data into hundreds of distinct types. For the cataloged data to be contrasted with the open source

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