Business Analysis for Information Technology
Books and Selected Products
Addison–Wesley Professional
August 2011
Paperback, 368 pages
ISBN: 032150481X

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehouse, business intelligence, or analytics project. However, conventional Agile methodologies must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that.
Collier introduces platform–agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets; support enormous and fast–growing data volumes; and more. Colliera•s techniques offer equal value whether your projects involve a‘back–enda" data management, a‘front–enda" business analysis, or both.
Collier brings together proven solutions you can apply right nowa‘whether youa•re an IT decision–maker, data warehouse professional, DBA, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better resultsa‘and have fun along the way.
Author Bios
Ken Collier has worked with Agile methods since 2003, and pioneered the integration of Agile methods with data warehousing, business intelligence, and analytics to create the Agile analytics style. He continues to refine these ideas as technical lead and project manager on several Agile DW/BI project teams. Collier frequently trains DW/BI teams in Agile analytics, and has been a keynote speaker on the subject at multiple TDWI (The Data Warehousing Institute) World Conferences. He is founder and president of KWC Technologies, Inc. and a senior consultant in the Cutter Consortium’s Agile Development and Business Intelligence practice areas.