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Extreme Scoping

Book Description

Do your business intelligence (BI) projects take too long to deliver? Is the value of the deliverables less than satisfactory? Do these projects propagate poor data management practices?

If you screamed "yes" to any of these questions, read this book to master a proven approach to building your enterprise data warehouse and BI initiatives. Extreme Scoping, based on the Business Intelligence Roadmap, will show you how to build analytics applications rapidly yet not sacrifice data management and enterprise architecture. In addition, all of the roles required to deliver all seven steps of this agile methodology are explained along with many real-world examples. 

From Wayne Eckerson's Foreword 
I've read many books about data warehousing and business intelligence (BI). This book by Larissa Moss is one of the best. I should not be surprised. Larissa has spent years refining the craft of designing, building, and delivering BI applications. Over the years, she has developed a keen insight about what works and doesn't work in BI. This book brings to light the wealth of that development experience. Best of all, this is not some dry text that laboriously steps readers through a technical methodology. Larissa expresses her ideas in a clear, concise, and persuasive manner. I highlighted so many beautifully written and insightful paragraphs in her manuscript that it became comical. I desperately wanted the final, published book rather than the manuscript so I could dog-ear it to death and place it front-and-center in my office bookshelf!

From David Well's Foreword 
Extreme Scoping is rich with advice and guidance for virtually every aspect of BI projects from planning and requirements to deployment and from back-end data management to front-end information and analytics services. Larissa is both a pragmatist and an independent thinker. Those qualities come through in the style of this book. Extreme Scoping is a well-written book that is easy to absorb. It is not full of surprises. It is filled with a lot of common sense and lessons learned through experience.

Table of Contents

  1. Praise for Extreme Scoping™
  2. Acknowledgments
  3. About the Author
  4. Foreword by Wayne Eckerson
  5. Foreword by David Wells
  6. Preface Why I Wrote This Book
  7. Part I: Setting the Stage
    1. Chapter 1: Business Intelligence and Data Warehousing
      1. Business Intelligence
      2. Role of an Enterprise Data Warehouse
      3. TDWI BI Components Framework
      4. Final Thought
    2. Chapter 2: Why Traditional Methodologies Don’t Work
      1. Waterfall Methodologies
      2. Industrial-Age Mental Model
      3. Final Thought
  8. Part II: Going Agile
    1. Chapter 3: Data-Driven Development
      1. Information-Age Mental Model
      2. Cross-Functional Development Approach
      3. Spiral Data Warehouse Methodologies
      4. Final Thought
    2. Chapter 4: Agile Development Approaches
      1. Release Concept
      2. Agile Methodologies
      3. Final Thought
    3. Chapter 5: Agile BI versus Agile EDW
      1. Can Agile Be Used for BI?
      2. Can Agile Be Used for EDW?
      3. Final Thought
  9. Part III: Extreme Scoping Planning Process
    1. Chapter 6: Speculation and Scouting
      1. Justification Stage
      2. Planning Stage
      3. Business Analysis Stage
      4. Design Stage
      5. Construction Stage
      6. Deployment Stage
      7. Completing the First Step
      8. Final Thought
    2. Chapter 7: Scoping the Releases
      1. BDTP Balance™
      2. Completing the Second Step
      3. Final Thought
    3. Chapter 8: Defining the Work
      1. EDW/BI Development Step Activities
      2. Completing the Third Step
      3. Final Thought
    4. Chapter 9: Self-Organizing Project Teams
      1. Extreme Scoping Project Team Structure
      2. Team Dynamics
      3. Roles and Responsibilities
      4. Final Thought
    5. Chapter 10: Staffing the Teams
      1. EDW/BI Development Step Roles
      2. Completing the Fourth Step
      3. Final Thought
    6. Chapter 11: Planning – Where the Rubber Meets the Road
      1. Project Partitioning
      2. Reverse Milestones – Reality Check
      3. Micro Plan
      4. Macro Plan
      5. Planning the Next Release
      6. Final Thought
  10. Part IV: At the Program Level
    1. Chapter 12: Organizational Impact
      1. BI Leadership
      2. Culture Changes
      3. Final Thought
    2. Chapter 13: BI Maturity
      1. TDWI BI Maturity Model
      2. Final Thought
  11. Appendices
    1. Appendix A BI Roadmap Methodology – Things to Consider
      1. Business Case Assessment
      2. Enterprise Infrastructure Evaluation
      3. Requirements Definition
      4. Project Planning
      5. Data Analysis
      6. Application Prototyping
      7. Metadata Repository Analysis
      8. Database Design
      9. ETL Design
      10. Metadata Repository Design
      11. ETL Development
      12. Application Development
      13. Data Mining
      14. Metadata Repository Development
      15. Implementation
      16. Release Evaluation
    2. Appendix B BI Roadmap Methodology – Activities
      1. Business Case Assessment
      2. Enterprise Infrastructure Evaluation - Technical
      3. Enterprise Infrastructure Evaluation - Non-Technical
      4. Requirements Definition
      5. Project Planning
      6. Data Analysis
      7. Application Prototyping
      8. Metadata Repository Analysis
      9. Database Design
      10. ETL Design
      11. Metadata Repository Design
      12. ETL Development
      13. Application Development
      14. Data Mining
      15. Metadata Repository Development
      16. Implementation
      17. Release Evaluation
    3. Appendix C Glossary
    4. References