Master Data Management in Practice Achieving

Expert guidance for Master Data Management (MDM) implementation Master Data Management in Practice provides a logical order toward planning, implementation, ongoing management, and advanced practices of Customer MDM with tables, graphs, and charts. Authors Dalton Cervo and Mark Allen show organizations how to implement Master Data Management (MDM) within their business model to create a more quality controlled approach for sucessfully managing and maintaining their customer master data. This book focuses on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices. Designed for data management professionals and data management consulting firms Addresses the aspects of defining the underlying scope, approach, architecture, and objectives necessary for the planning and execution of a Customer MDM initiative Provides the practical insight, guidance, questions, and examples related to the implementation of the four foundational Customer MDM disciplines: Data Governance, Data Stewardship, Data Quality Management, and Data Access Management Packed with helpful tables, graphs, and charts, Master Data Management in Practice discusses current concepts and future implications associated to Customer MDM, revealing a logical order toward the planning, implementation, and ongoing management of solid Customer MDM practices.

DALTON CERVO is Senior Solutions Consultant at DataFlux Corporation, assisting customers with master data management, data governance, and data quality implementations.¿Prior to joining DataFlux, Dalton was a senior program manager at both Sun Microsystems and Oracle, leading the data quality efforts as a member of the data governance team responsible for defining policies and procedures governing the oversight of master customer data. He is an expert panelist and a featured blogger for Data Quality PRO and a contributing author in The Next Wave of Technologies: Opportunities in Chaos (Wiley).

MARK ALLEN is a Senior Consultant and Enterprise Data Governance Lead at WellPoint, Inc. Prior to joining WellPoint, Mark was a senior program manager in customer operations groups at both Sun Microsystems and Oracle. Mark has led Sun's Customer Data Governance Board and has been a member of customer advisory boards for DataFlux, Oracle, and Dun & Bradstreet, where he was a presenter and panel member for various data governance and master data management events and forums.

Please visit their website at www.mdm-in-practice.com.

Foreword	p. xiii
Preface	p. xvii
Acknowledgments	p. xxi
Introduction	p. 1
Planning Your Customer MDM Initiative	p. 7
Defining Your MDM Scope and Approach	p. 9
MDM Approaches and Architectures	p. 9
Analytical MDM	p. 11
Operational MDM	p. 14
Enterprise MDM	p. 18
Defining the Business Case	p. 20
Cost Reduction	p. 21
Risk Management	p. 22
Revenue Growth	p. 23
Selecting the Right MDM Approach	p. 23
Data Management Maturity Level	p. 24
Addressing the ROI Question	p. 27
Summary	p. 27
Note	p. 28
Establishing Effective Ownership	p. 29
The Question of Data Ownership	p. 29
Executive Involvement	p. 31
MDM with Segmented Business Practices	p. 31
A Top-Down and Bottom-Up Approach	p. 32
Creating Collaborative Partnerships	p. 33
Can Your Current IT and Business Model Effectively Support MDM?	p. 33
The Acceptance Factor	p. 34
Business Access to Data	p. 35
Coordination of MDM Roles and Responsibilities	p. 36
Summary	p. 38
Notes	p. 38
Priming the MDM Engine	p. 39
Introduction	p. 39
Positioning MDM Tools	p. 40
Data Integration and Synchronization	p. 42
Data Profiling	p. 43
Data Migration	p. 46
Data Consolidation and Segmentation	p. 55
Reference Data	p. 57
Metadata	p. 60
Summary	p. 63
Notes	p. 63
The Implementation Fundamentals	p. 65
Data Governance	p. 67
Initiating a Customer Data Governance Model	p. 67
Planning and Design	p. 69
Establishing the Charter	p. 70
Policies, Standards, and Controls	p. 78
Implementation	p. 85
Process Readiness	p. 85
Implement	p. 88
Maintain and Improve	p. 91
Summary	p. 93
Notes	p. 94
Data Stewardship	p. 95
From Concept to Practice	p. 95
People	p. 96
MDM Process Core Team	p. 97
Operational Process Areas	p. 102
Processes	p. 107
Data Caretaking	p. 108
Summary	p. 109
Data Quality Management	p. 111
Implementing a Data Quality Model	p. 111
A Process for Data Quality	p. 114
Drivers	p. 115
Data Quality (DQ) Forum	p. 117
Controls/Data Governance	p. 119
Data Analysts	p. 120
Design Team	p. 123
IT Support/Data Stewards	p. 125
Metrics	p. 126
Establishing a Data Quality Baseline	p. 127
Context	p. 127
Data Quality Dimensions	p. 129
Entities and Attributes	p. 129
Putting It All Together	p. 132
Data Alignment and Fitness Assessment	p. 136
Data Correction Initiatives	p. 137
Summary	p. 140
Note	p. 140
Data Access Management	p. 141
Creating the Business Discipline	p. 141
Beyond the System Administrator	p. 142
Creating the Right Gatekeeper Model	p. 144
Preparing	p. 145
Employee Data	p. 146
Access Management Requirements	p. 146
Add User Group Names	p. 148
Map Privileges to Requirement Categories	p. 149
Profiling the Data	p. 150
Implementing and Managing the Process	p. 152
Testing and Launching the Process	p. 157
Resolve Issues Immediately	p. 157
Auditing and Monitoring	p. 158
Segregation of Duty (SoD) Management	p. 159
Summary	p. 161
Notes	p. 161
Achieving a Steady State	p. 163
Data Maintenance and Metrics	p. 165
Data Maintenance	p. 165
Specify, Profile, and Analyze	p. 167
Improve	p. 167
Data Quality Metrics	p. 184
Monitors	p. 185
Scorecards	p. 187
Summary	p. 189
Note	p. 190
Maturing Your MDM Model	p. 191
How to Recognize and Gauge Maturity?	p. 191
Data Governance Maturity	p. 193
Data Stewardship Maturity	p. 194
Data Quality Maturity	p. 195
Data Access Management Maturity	p. 197
Summary	p. 198
Notes	p. 199
Advanced Practices	p. 201
Creating the Customer 360° View	p. 203
Introduction	p. 203
Hierarchy Management (HM)	p. 206
Operational versus Analytical Hierarchies	p. 207
Single versus Multiple Hierarchies	p. 208
Number of Levels in the Customer Hierarchy	p. 209
Virtual versus Physical Customer Records	p. 211
Legal versus Non-Legal Hierarchies	p. 212
The Elusive, yet Achievable, 360° Customer View	p. 213
Summary	p. 213
Surviving Organizational Change	p. 215
How Adaptable Is Your Customer Master Data?	p. 215
Data Quality Factors	p. 216
Data Completeness	p. 217
Data Consistency	p. 217
Data Integrity	p. 218
The Change Management Challenge	p. 219
Data Governance Can Greatly Assist a Transitioning State	p. 220
Leveraging the Data Stewards and Analysts	p. 220
Adopting Best Practices	p. 222
Summary	p. 222
Beyond Customer MDM	p. 225
The Leading and Lagging Ends	p. 225
Technology's Influence on MDM	p. 226
Overcoming the IT and Business Constraints	p. 228
Achieving an Effective Enterprise-Wide MDM Model	p. 230
Where Does MDM Lead?	p. 233
Summary	p. 235
Note	p. 236
Recommended Reading	p. 237
About the Authors	p. 239
Index	p. 241
Table of Contents provided by Ingram. All Rights Reserved.

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Master Data Management in Practice Achieving True Customer MDM

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Table of Contents

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