Data Warehouse Project Management (Paperback)

Sid Adelman, Larissa T. Moss

  • 出版商: Addison-Wesley Professional
  • 出版日期: 2000-09-24
  • 定價: USD $64.99
  • 售價: $600
  • 語言: 英文
  • 頁數: 448
  • 裝訂: Paperback
  • ISBN: 0201616351
  • ISBN-13: 9780201616354

立即出貨

買這商品的人也買了...

商品描述


Description

A complete, start-to-finish roadmap for the data warehouse project manager!

  • Best practices, templates, examples, checklists, and much more.
  • Specific solutions to the complex problems that arise most often in data warehousing projects.
  • CD-ROM includes hands-on workshops and easy-to-adapt project templates.
The average data warehouse takes three years to build and costs $3-5 million -- yet many data warehouse project managers are thrown into the position with no clear idea of their roles, authority, or even objectives. It's no wonder that 85% of all data warehouse projects fall short of their objectives, and 40% fail completely. In Data Warehouse Project Management, two leading data warehouse project management consultants present start-to-finish best practices for getting the job done right. Sid Adelman and Larissa Terpeluk Moss cover the entire lifecycle, from proposing a data warehouse project through staffing a team, developing project scope, justifying, negotiating, and marketing the data warehouse project internally, and then implementing the data warehouse. They present real-world case studies identifying the key pitfalls that arise repeatedly in data warehouse projects -- and offer proven solutions for addressing these challenges. The book and CD-ROM contain an extensive library of templates and checklists, plus self-tests to determine whether an organization is really ready for data warehousing.

Sid Adelman is a world-recognized data warehousing consultant. He is Chairman of the International Data Warehousing Board, and President & Founder of Sid Adelman & Associates. Larissa Terpeluk Moss, also an internationally known data warehousing consultant, is President and Founder of MethodFocus, Inc. Larissa is the developer of RSDM-2000, a Relational System Development Methodology. Both have published extensively in DM Review.

Back to Top


Table Of Contents

List of Figures.
Foreword.
Preface.
Acknowledgments.
1. Introduction to Data Warehousing.
Traditional Development.
Data Warehousing.
The Role of Project Management.
Difficulty of Managing Data Warehouse Projects.
Summary.
Workshop.

2. Goals and Objectives.
Traditional Decision Support Deficiencies.
Data Management Solutions.
Data Warehouse Short-Term Objectives.
Data Warehouse Long-Term Objectives.
Summary.
Workshop.

3. Indicators of Success.
Measures of Success.
Critical Success Factors.
Measuring Results.
Summary.
Workshop.

4. Risks.
Types of Failures.
Types of Risks.
Poison People.
Summary.
Workshop.

5. Satisfying the User.
Understanding the Business.
Types of Users.
Communicating with the Users.
Requirements.
Internal Selling.
Summary.
Workshop.

6. Cost Benefit.
The Need for Cost Justification.
Costs.
Benefits.
Summary.
Workshop.

7. Selecting Software.
Data Warehouse Tools.
Where the Tools Fit in the Technical Architecture.
Product Requirements.
Vendor Evaluation.
Research.
Making the Decision.
Summary.
Workshop.

8. Organization and Cultural Issues.
Current Situation.
Cultural Imperatives.
Organization to Support the Data Warehouse.
Data Warehouse Roles.
Advisory Boards.
Recruiting and Retention.
The Data Warehouse Team.
Training.
Summary.
Workshop.

9. Methodology.
Data Warehouse Iterations.
Prototyping as a Development Approach.
Parallel Development Tracks.
Major Development Steps.
Summary.
Workshop.

10. Data Models.
Logical Data Model.
Physical Data Model.
Summary.
Workshop.

11. Data Quality.
Data Management and Data Delivery.
The Cost of Data Chaos.
Defining Data Quality for the Data Warehouse.
Data Cleansing Categories.
Triaging Data Cleansing Activities.
Summary.
Workshop.

12. Project Planning.
Need for Project Planning.
The Project Plan.
Estimating.
Controlling the Project.
First Project Selection.
Communication.
Summary.
Workshop.

Appendix.
Data Warehouse Applications by Industry.
User Responsibility Problem.
User Validation Template.
Words to Use/Words Not to Use.
Sample Letter to Interviewees.
Interview Results Template.
User Satisfaction Survey.
User Scorecard.
Benefits Analysis for Health Care.
Benefits Analysis for Finance.
Desired Types of References.
Questions for the References.
Vendor Rules of Engagement.
Plan to Select Products.
Data Warehouse Product Categories.
Organizational Structures.
Salary Survey.
Service Level Agreement Standards.
Questions for External Data Vendors.
Project Plan Task Template.
Sample Project Plan.
Disaster Examples.

Index. 0201616351T04062001


Back to Top