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.
Module One
Project Management Fundamentals
Project Management Success
Project Management Failures
Module Two
Challenges of BI Projects
BI Projects vs. IT Projects
Kinds of BI Projects
Project Management Methods
Module Three
Defining a BI Project
Project Definition Questions
The Project Charter
Module Four
Choosing the Project Approach
Fitting to the Organization
Fitting to the Project
Defining the Project Structure
Module Five
Running the Project
Planning the Project
Executing the Project
Monitoring and Controlling the Project
Completing the Project
Module Six
Summary and Conclusion
Summary of Key Points
Appendices
Appendix A
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