Buch, Englisch, 248 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 551 g
Reihe: Wiley Corporate F&A
Buch, Englisch, 248 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 551 g
Reihe: Wiley Corporate F&A
ISBN: 978-0-470-91055-9
Verlag: Wiley
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.
Fachgebiete
Weitere Infos & Material
Foreword.
Preface.
Acknowledgments.
Introduction.
Part I: Planning Your Customer MDM Initiative.
Chapter 1: Defining Your MDM Scope and Approach.
MDM Approaches and Architectures.
Analytical MDM.
Operational MDM.
Enterprise MDM.
Defining the Business Case.
Cost Reduction.
Risk Management.
Revenue Growth.
Selecting the Right MDM Approach.
Data Management Maturity Level.
Addressing the ROI Question.
Summary.
Note.
Chapter 2: Establishing Effective Ownership.
The Question of Data Ownership.
Executive Involvement.
MDM with Segmented Business Practices.
A Top-Down and Bottom-Up Approach.
Creating Collaborative Partnerships.
Can Your Current IT and Business Model Effectively Support MDM?
The Acceptance Factor.
Business Access to Data.
Coordination of MDM Roles and Responsibilities.
Summary.
Notes.
Chapter 3: Priming the MDM Engine.
Introduction.
Positioning MDM Tools.
Data Integration and Synchronization.
Data Profiling.
Data Migration.
Data Consolidation and Segmentation.
Reference Data.
Metadata.
Summary.
Note.
Part II: The Implementation Fundamentals.
Chapter 4: Data Governance.
Initiating a Customer Data Governance Model.
Planning and Design.
Establishing the Charter.
Policies, Standards, and Controls.
Implementation.
Process Readiness.
Implement.
Maintain and Improve.
Summary.
Notes.
Chapter 5: Data Stewardship.
From Concept to Practice.
People.
MDM Process Core Team.
Operational Process Areas.
Processes.
Data Caretaking.
Summary.
Chapter 6: Data Quality Management.
Implementing a Data Quality Model.
A Process for Data Quality.
Drivers.
Data Quality Forum (DQF).
Controls/Data Governance.
Data Analysts.
Design Team.
IT Support/Data Stewards.
Metrics.
Establishing a Data Quality Baseline.
Context.
Data Quality Dimensions.
Entities and Attributes.
Putting It All Together.
Data Alignment and Fitness Assessment.
Data Correction Initiatives.
Summary.
Note.
Chapter 7: Data Access Management.
Creating the Business Discipline.
Beyond the System Administrator.
Creating the Right Gatekeeper Model.
Preparing.
Employee Data.
Access Management Requirements.
Add User Group Names.
Map Privileges to Requirement Categories.
Profiling the Data.
Implementing and Managing the Process.
Testing and Launching the Process.
Resolve Issues Immediately.
Auditing and Monitoring.
Segregation of Duty Management.
Summary.
Notes.
Part III: Achieving a Steady State.
Chapter 8: Data Maintenance and Metrics.
Data Maintenance.
Specify, Profile, and Analyze.
Improve.
Data Quality Metrics.
Monitors.
Scorecards.
Summary.
Note.
Chapter 9: Maturing Your MDM Model.
How to Recognize and Gauge Maturity?
Data Governance Maturity.
Data Stewardship Maturity.
Data Quality Maturity.
Data Access Management Maturity.
Summary.
Notes.
Part IV: Advanced Practices.
Chapter 10: Creating the Customer 360° View.
Introduction.
Hierarchy Management (HM).
Operational versus Analytical Hierarchies.
Single versus Multiple Hierarchies.
Number of Levels in the Customer Hierarchy.
Virtual versus Physical Customer Records.
Legal versus Non-legal Hierarchies.
The Elusive, yet Achievable, 360° Customer View.
Summary.
Chapter 11: Surviving Organizational Change.
How Adaptable Is Your Customer Master Data?
Data Quality Factors.
Data Completeness.
Data Consistency.
Data Integrity.
The Change Management Challenge.
Data Governance Can Greatly Assist a Transitioning State.
Leveraging the Data Stewards and Analyst.
Adopting Best Practices.
Summary.
Chapter 12: Beyond Customer MDM.
The Leading and Lagging Ends.
Technology Influence on MDM.
Overcoming the IT and Business Constraints.
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