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This seminar will offer a methodology for creating a successful data warehouse, based upon actual experiences and the works of Adelman and Agosta. The attendee will gain an understanding of the importance of managing a data warehouse project using standard information systems project management techniques that have been enhanced for a data warehouse project, the critical success factors of data warehousing, and some suggestions for avoiding common problems.
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Data warehouse projects present a unique set of management challenges that can stymie many experienced information system project managers. This complex suite of databases and applications requires a tailored methodology to ensure that the project is well-organized, analyzed, and executed, delivering value to the data warehouse users.
This seminar will offer a methodology for creating a successful data warehouse, based upon actual experiences and the works of Adelman and Agosta. The attendee will gain an understanding of the importance of managing a data warehouse project using standard information systems project management techniques that have been enhanced for a data warehouse project, the critical success factors of data warehousing, and some suggestions for avoiding common problems.
As an added benefit, participants will examine and critique a data warehouse case study where they can apply the lessons learned in this workshop.
This course is workshop-focused since design concepts are best learned by doing. The final workshops are oriented to solving problems that you have in your current projects. The workshops allow you to learn how the concepts are applied and how to develop skills in data warehouse project management for any organization.
This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.
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