Master Data Management in Practice Achieving True Customer MDM
by Cervo, Dalton; Allen, Mark; Dyché; , JillEdition: 1st
Format: Hardcover
Pub. Date: 2011-07-05
Publisher(s): Wiley
Other versions by this Author
-
This Item Qualifies for Free Shipping!*
*Excludes marketplace orders.
List Price: $78.75
Buy New
Arriving Soon. Will ship when available.
$75.00
Rent Book
Select for Price
Rent Digital
$54.00
Used Book
We're Sorry
Sold Out
How Marketplace Works:
- This item is offered by an independent seller and not shipped from our warehouse
- Item details like edition and cover design may differ from our description; see seller's comments before ordering.
- Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
- Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
- Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.
Summary
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.
Author Biography
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.
Table of Contents
| 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. |
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.