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Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You'll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage. Discussions of the most critical decision points for success at each phase of the data warehouse lifecycle help you understand ways in which both business and IT management can make decisions that best meet unified objectives.
Auteur
LAURA L. REEVES, coauthor of The Data Warehouse Lifecycle Toolkit, has over 23 years of experience in end-to-end data warehouse development focused on developing comprehensive project plans, collecting business requirements, designing business dimensional models and database schemas, and creating enterprise data warehouse strategies and data architectures.
Texte du rabat
An ideal guide for the non-technical professional eager to learn more about data warehousing A successful data warehouse project can provide immense value for business enterprises or other organizations. Building and maintaining a data warehouse demands the combined efforts of both IT and non-technical personnel. While there are plenty of resources aimed at the technology professionals who design and build data warehouses, there has to date been no useful guide written for a non-technical audience. This book fills that void and serves as an ideal resource for business and IT managers and others from the non-IT side who want to do their part to ensure data warehousing success. This helpful book provides a solid introduction to the fundamentals of data warehousing. The author details each step of a data warehouse project, and provides a clear explanation of what's involved in efficiently building a data warehouse and what must be done to deliver the data. You'll examine the business management of a data warehouse and discover essential methods for cultivating a strong partnership between the business and IT elements of your organization. You can use this knowledge to be more effective when sharing your requirements and concerns during a project. A Manager's Guide to Data Warehousing explains what you need to create your data warehouse and establish long-term success. The book covers:
Contenu
Introduction xxiii
Part One The Essentials of Data Warehousing 1
Chapter 1 Gaining Data Warehouse Success 3
The Essentials of Data Warehousing 3
What Is a Data Warehouse? 4
Differences Between Operational and DW Systems 4
The Data Warehousing Environment 4
What Is a Data Model? 6
Understanding Industry Perspectives 7
Design and Development Sequence 8
Why Build a Data Warehouse? 11
The Value of Data Warehousing 12
The Promises of Data Warehousing 15
Keys to Success 16
Developing and Maintaining Strong Business and Technology Partnerships 17
Identifying True Business Requirements 17
Shifting to a Global Perspective 18
Overcoming Unrealistic Expectations 19
Providing Clear Communication 20
Treating Data As a Corporate Asset 21
Effectively Leveraging Technology 21
Roadblocks to Success 22
Believing the Myth: ''If You Build It, They Will Come'' 22
Falling into the Project Deadline Trap 23
Failing to Uphold Organizational Discipline 23
Lacking Business Process Change 24
Narrowing the Focus Too Much 25
Resting on Your Laurels 27
Relying on the Technology Fix 27
Getting the Right People Involved 28
Finding Lost Institutional Knowledge 29
Summary 30
Chapter 2 The Executive's FAQ for Data Warehousing 31
Question: What is the business benefit of a data warehouse? 32
Answer 32
Question: How much will it cost? 33
Answer 33
Question: How long will it take? 34
Answer 35
Question: How can I ensure success? 36
Answer 36
Question: Do other companies really build these in 90 days? 37
Answer 37
Question: How will we know we are doing this right? 38
Answer 38
Question: Why didn't this work last time? What is different this time? 39
Answer 39
Question: Do we have the right technology in place? 39
Answer 40
Question: Are we the only company with data warehouse problems? 40
Answer 41
Question: Will I get one version of the truth? 41
Answer 42
Question: Why can't we just use our current systems? 43
Answer 44
Question: Will the data warehouse replace our old systems? 45
Question: Who needs to be involved? 45
Question: Do we know where we are going? How will we know when we get there? 46
Answer 46
Question: How do we get started and stay focused? 47
Answer 47
Summary 48
Part Two The Business Side of Data Warehousing 49
Chapter 3 Understanding Where You Are and Finding Your Way 51
Assessing Your Current State 51
What Is Your Company's Strategic Direction? 52
What Are the Company's Top Initiatives? 54
How Healthy Is Your Data? 55
Does the Business Place Value on Analysis? 56
Reflecting on Your Data Warehouse History 57
Understanding Your Existing Reporting Environment 58
Finding the Reporting Systems 59
Compiling an Inventory 60
Identifying the Business Purpose 61
Discovering the Data You Already Have 63
Understanding the People 65
Tracking Technology and Tools 65
Understanding Enterprise Resources 66
Netting It All Out 68
Introducing the Case Studies 70
The Call Center Data Warehouse Project 70
In Real Life 70
Giant Company 71
Agile, Inc. 72
Summary 72
Chapter 4 Successful ITBusiness Partnerships 75
What a Partnership Really Means 75
What the Business Partners Should Expect to Do 76
Business Executives and Senior Management 78 The Ex...