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Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development)


Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development) Cover


Synopses & Reviews

Publisher Comments:

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods 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 and how to support enormous and fast-growing data volumes. Collier’s techniques offer optimal value whether your projects involve “back-end” data management, “front-end” business analysis, or both.

  • Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success
  • Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation

Collier brings together proven solutions you can apply right now—whether you’re an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results—and have fun along the way.

Book News Annotation:

Applying agile methods to data warehouse and business intelligence systems development, Collier presents guidelines for establishing a collaborative software project community that delivers high-priority value to the customer, and introduces the story-driven approach to requirements analysis. The second half of the book discusses evolutionary design for high-quality data models, automated testing, and version control. A fictitious video rental chain demonstrates the agile practices as described in each chapter. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

About the Author

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 HEDW (Higher Education Data Warehouse) 2011 and 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.

Table of Contents

Foreword by Jim Highsmith

Foreword by Wayne Eckerson



About the Author


Part I: Agile Analytics: Management Methods

Chapter 1: Introducing Agile Analytics

Chapter 2: Agile Project Management

Chapter 3: Community, Customers, and Collaboration

Chapter 4: User Stories for BI Systems

Chapter 5: Self-Organizing Teams Boost Performance


Part II: Agile Analytics: Technical Methods

Chapter 6: Evolving Excellent Design

Chapter 7: Test-Driven Data Warehouse Development

Chapter 8: Version Control for Data Warehousing

Chapter 9: Project Automation

Chapter 10: Final Words


References and Recommended Reading



Product Details

Collier, Ken
Addison-Wesley Professional
Collier, Ken W.
Database Management - General
Database design
Programming - General
Programming - Software Development
Computers-Reference - General
Edition Description:
Trade paper
Agile Software Development Series
Publication Date:
9.13 x 7 x 0.771 in 576 gr

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