Data Warehouse Project Management (Paperback)

Sid Adelman

Data Warehouse Project Management (Paperback)
  • 出版商: Addison Wesley
  • 出版日期: 2000-09-24
  • 定價: $2,145
  • 售價: 6.0 折 $1,287
  • 語言: 英文
  • 頁數: 442
  • 裝訂: Paperback
  • ISBN: 0201616351
  • ISBN-13: 9780201616354
  • 相關分類: 專案管理 PM

    • 立即出貨(限量) (庫存=9)

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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.

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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


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商品描述(中文翻譯)

《資料倉儲專案管理》

描述：
一本完整的、從頭到尾的資料倉儲專案管理路線圖！
最佳實踐、範本、例子、檢查表等等。
針對資料倉儲專案中最常出現的複雜問題提供具體解決方案。
CD-ROM包含實際操作的工作坊和易於適應的專案範本。

平均而言，建立一個資料倉儲需要三年時間並且耗資300-500萬美元，然而許多資料倉儲專案經理卻沒有明確的角色、權限，甚至目標都不清楚。難怪85%的資料倉儲專案無法達到目標，40%完全失敗。在《資料倉儲專案管理》一書中，兩位領先的資料倉儲專案管理顧問提供了從頭到尾的最佳實踐，以確保工作能夠正確完成。Sid Adelman和Larissa Terpeluk Moss涵蓋了整個生命週期，從提議資料倉儲專案、組建團隊、制定專案範圍、內部推銷、談判和推廣資料倉儲專案，到實施資料倉儲。他們提供了真實案例研究，識別了資料倉儲專案中反覆出現的主要陷阱，並提供了解決這些挑戰的有效方法。該書和CD-ROM包含了大量的範本和檢查表，以及自我測試，以確定組織是否真正準備好進行資料倉儲。

Sid Adelman是一位世界知名的資料倉儲顧問。他是國際資料倉儲委員會主席，也是Sid Adelman & Associates的總裁兼創始人。Larissa Terpeluk Moss也是一位國際知名的資料倉儲顧問，她是MethodFocus, Inc.的總裁兼創始人。Larissa是關聯系統開發方法論RSDM-2000的開發者。兩位作者在《DM Review》上發表了大量文章。

目錄：
圖表清單。
前言。
前言。
致謝。
1. 資料倉儲介紹。
傳統開發。
資料倉儲。
專案管理的角色。
管理資料倉儲專案的困難。
總結。
工作坊。
2. 目標和目的。
傳統決策支援的不足。
資料管理解決方案。
資料倉儲的短期目標。
資料倉儲的長期目標。
總結。
工作坊。
3. 成功的指標。
成功的衡量標準。
關鍵成功因素。
衡量結果。
總結。
工作坊。
4. 風險。
失敗的類型。
風險的類型。
有害的人。
總結。
工作坊。
5. 滿足用戶需求。
了解業務。
用戶的類型。
與用戶溝通。
需求。
內部推銷。
總結。
工作坊。
6. 成本效益。
成本證明的需求。
成本。
效益。
總結。
工作坊。
7. 軟體選擇。
資料倉儲工具。
工具在技術架構中的位置。
產品需求。
供應商評估。
研究。
做出決策。
總結。
工作坊。
8. O```

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