|:||This course assumes completion of TDWI Business Intelligence Principles and Practices or equivalent knowledge of BI concepts and terminology.|
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Managing BI projects is a difficult responsibility that challenges even the most experienced IT project managers. Source system dependencies, uncertain data quality, volatile business requirements, and business urgency are but a few examples among a multitude of challenges. Many kinds of BI projects, ranging from data integration to predictive analytics, add to the complexities—and multiple technologies from data warehousing to data mining compound the problem. With BI projects, there is no project management silver bullet—no "one size fits all" approach to project management. Learn how to choose among traditional, agile, and other project management methods. Then find out how to apply the chosen method for project planning, execution, monitoring, control, completion, and closure.