Agile Project Management for Data Warehouse Projects
Published: 5 September 2007 This course examines self-organizing project teams, spiral methodologies, and "extreme scoping" (a development method based on software releases).
This course is available at the TDWI World Conference in Orlando. For more information, and to register, visit www.tdwi.org/orlando2007. Leadership & Management Prerequisite: Basic understanding of project management and data warehousing
You Will Learn
Geared To
As you are managing your DW project, you draw upon your past experience as a project manager. But to your dismay, you find that in spite of your experience, your DW project is unusually difficult to manage. The requirements appear to be a "moving target." Communication between staff members takes too long. Assigning tasks in a traditional way seems to result in too much rework. Using a traditional methodology does not work. To top it all off, the business users are pressuring you for quick deliverables (90 days or less) as they are still "refining" their requirements. As the DW team scrambles to meet those expectations, data standardization is skipped, testing is cut short, documentation is not done, and quality is compromised. The end result is often an independent data mart—always accompanied by the promise to clean it up later and to consolidate it with the other silo data marts (and data warehouses), which regrettably rarely happens. Sound familiar? So, how can you "have your cake and eat it too?" In other words, how can you do it right and still deliver in 90 days? You have to set aside some of the traditional project management disciplines and try a new approach. In this course, you will learn about self-organizing project teams, spiral methodologies, and "extreme scoping" (a development method based on software releases).
Course Outline1. Why Traditional Project Management (PM) Does Not Work on DW Projects
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