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Data Management

The rate at which data is being collected is unprecedented. With progressive proliferation of ERP, CRM and other mission critical software systems data is collected and used on a day-to-day basis in greater volumes and variety than any time in history. Most business and organizational leaders have recognized that tremendous value exists within the data collected by these systems. However, to realize this value the data must be extracted and transformed so that it is structured in a manner that lends itself to analysis.

Unfortunately the database systems that house this data are engineered to address the needs of collection, which are different than those associated with analysis. For this reason it is usually necessary to manage the data so that it can be used for analysis, reporting and dashboards. To manage data it is advisable for you to implement a software solution that is specifically designed to help with this task. Such tools offer a standardized and maintainable approach to extracting, transforming and loading (ETL) data. This "ETL" process is the foundation for developing an analysis system and is sometimes represented by a data warehouse, operational data store (ODS) or data mart. These repositories are updated periodically by one or more source systems and make the analysis, reporting and visualizing of data possible.

For a FREE review of how data management can solve problems in your business call us. We are happy to share some insights and information about leading methodologies and tools.


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Join Us in Chicago for Q Days September 15-16
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