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| Home > How to develop a sustainable data integration plan for business intelligence projects | |
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A sound, sustainable data integration strategy is required for most business intelligence (BI) initiatives, since effective enterprise-wide BI analyzes information from many different source systems. But data integration for BI initiatives certainly isn't a one-time project. It's a set of ongoing processes that must work consistently and successfully every time, because errors can lead to flawed analysis, distrust in the system or worse, inaccurate corporate reporting. In this podcast with William McKnight, Sr. VP of Conversion Services International, Inc. on developing a sustainable BI-data integration strategy, listeners will:
About the speaker: William is partner, information management at Lucidity Consulting Group. He functions as strategist, lead enterprise information architect and program manager for complex, high-volume, full life-cycle implementations worldwide -- utilizing the disciplines of data warehousing, master data management (MDM), business intelligence (BI), data quality and operational BI. McKnight has authored more than 150 articles and white papers and given over 150 international keynotes and public seminars. He is a former IT VP of a Fortune company, a former engineer of DB2 at IBM and holds an MBA.
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