{"product_id":"master-data-management-in-practice-isbn-9780470910559","title":"Master Data Management in Practice","description":"In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing 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, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM. \u003cp\u003eForeword xiii\u003c\/p\u003e \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003eAcknowledgments xxi\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Planning Your Customer MDM Initiative 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Defining Your MDM Scope and Approach 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMDM Approaches and Architectures 9\u003c\/p\u003e \u003cp\u003eAnalytical MDM 11\u003c\/p\u003e \u003cp\u003eOperational MDM 14\u003c\/p\u003e \u003cp\u003eEnterprise MDM 18\u003c\/p\u003e \u003cp\u003eDefining the Business Case 20\u003c\/p\u003e \u003cp\u003eCost Reduction 21\u003c\/p\u003e \u003cp\u003eRisk Management 22\u003c\/p\u003e \u003cp\u003eRevenue Growth 23\u003c\/p\u003e \u003cp\u003eSelecting the Right MDM Approach 23\u003c\/p\u003e \u003cp\u003eData Management Maturity Level 24\u003c\/p\u003e \u003cp\u003eAddressing the ROI Question 27\u003c\/p\u003e \u003cp\u003eSummary 27\u003c\/p\u003e \u003cp\u003eNote 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Establishing Effective Ownership 29\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Question of Data Ownership 29\u003c\/p\u003e \u003cp\u003eExecutive Involvement 31\u003c\/p\u003e \u003cp\u003eMDM with Segmented Business Practices 31\u003c\/p\u003e \u003cp\u003eA Top-Down and Bottom-Up Approach 32\u003c\/p\u003e \u003cp\u003eCreating Collaborative Partnerships 33\u003c\/p\u003e \u003cp\u003eCan Your Current IT and Business Model\u003c\/p\u003e \u003cp\u003eEffectively Support MDM? 33\u003c\/p\u003e \u003cp\u003eThe Acceptance Factor 34\u003c\/p\u003e \u003cp\u003eBusiness Access to Data 35\u003c\/p\u003e \u003cp\u003eCoordination of MDM Roles and Responsibilities 36\u003c\/p\u003e \u003cp\u003eSummary 38\u003c\/p\u003e \u003cp\u003eNotes 38\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Priming the MDM Engine 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 39\u003c\/p\u003e \u003cp\u003ePositioning MDM Tools 40\u003c\/p\u003e \u003cp\u003eData Integration and Synchronization 42\u003c\/p\u003e \u003cp\u003eData Profiling 43\u003c\/p\u003e \u003cp\u003eData Migration 46\u003c\/p\u003e \u003cp\u003eData Consolidation and Segmentation 55\u003c\/p\u003e \u003cp\u003eReference Data 57\u003c\/p\u003e \u003cp\u003eMetadata 60\u003c\/p\u003e \u003cp\u003eSummary 63\u003c\/p\u003e \u003cp\u003eNotes 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: The Implementation Fundamentals 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Data Governance 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eInitiating a Customer Data Governance Model 67\u003c\/p\u003e \u003cp\u003ePlanning and Design 69\u003c\/p\u003e \u003cp\u003eEstablishing the Charter 70\u003c\/p\u003e \u003cp\u003ePolicies, Standards, and Controls 78\u003c\/p\u003e \u003cp\u003eImplementation 85\u003c\/p\u003e \u003cp\u003eProcess Readiness 85\u003c\/p\u003e \u003cp\u003eImplement 88\u003c\/p\u003e \u003cp\u003eMaintain and Improve 91\u003c\/p\u003e \u003cp\u003eSummary 93\u003c\/p\u003e \u003cp\u003eNotes 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Data Stewardship 95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrom Concept to Practice 95\u003c\/p\u003e \u003cp\u003ePeople 96\u003c\/p\u003e \u003cp\u003eMDM Process Core Team 97\u003c\/p\u003e \u003cp\u003eOperational Process Areas 102\u003c\/p\u003e \u003cp\u003eProcesses 107\u003c\/p\u003e \u003cp\u003eData Caretaking 108\u003c\/p\u003e \u003cp\u003eSummary 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Data Quality Management 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImplementing a Data Quality Model 111\u003c\/p\u003e \u003cp\u003eA Process for Data Quality 114\u003c\/p\u003e \u003cp\u003eDrivers 115\u003c\/p\u003e \u003cp\u003eData Quality (DQ) Forum 117\u003c\/p\u003e \u003cp\u003eControls\/Data Governance 119\u003c\/p\u003e \u003cp\u003eData Analysts 120\u003c\/p\u003e \u003cp\u003eDesign Team 123\u003c\/p\u003e \u003cp\u003eIT Support\/Data Stewards 125\u003c\/p\u003e \u003cp\u003eMetrics 126\u003c\/p\u003e \u003cp\u003eEstablishing a Data Quality Baseline 127\u003c\/p\u003e \u003cp\u003eContext 127\u003c\/p\u003e \u003cp\u003eData Quality Dimensions 129\u003c\/p\u003e \u003cp\u003eEntities and Attributes 129\u003c\/p\u003e \u003cp\u003ePutting It All Together 132\u003c\/p\u003e \u003cp\u003eData Alignment and Fitness Assessment 136\u003c\/p\u003e \u003cp\u003eData Correction Initiatives 137\u003c\/p\u003e \u003cp\u003eSummary 140\u003c\/p\u003e \u003cp\u003eNote 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Data Access Management 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCreating the Business Discipline 141\u003c\/p\u003e \u003cp\u003eBeyond the System Administrator 142\u003c\/p\u003e \u003cp\u003eCreating the Right Gatekeeper Model 144\u003c\/p\u003e \u003cp\u003ePreparing 145\u003c\/p\u003e \u003cp\u003eEmployee Data 146\u003c\/p\u003e \u003cp\u003eAccess Management Requirements 146\u003c\/p\u003e \u003cp\u003eAdd User Group Names 148\u003c\/p\u003e \u003cp\u003eMap Privileges to Requirement Categories 149\u003c\/p\u003e \u003cp\u003eProfiling the Data 150\u003c\/p\u003e \u003cp\u003eImplementing and Managing the Process 152\u003c\/p\u003e \u003cp\u003eTesting and Launching the Process 157\u003c\/p\u003e \u003cp\u003eResolve Issues Immediately 157\u003c\/p\u003e \u003cp\u003eAuditing and Monitoring 158\u003c\/p\u003e \u003cp\u003eSegregation of Duty (SoD) Management 159\u003c\/p\u003e \u003cp\u003eSummary 161\u003c\/p\u003e \u003cp\u003eNotes 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Achieving a Steady State 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Data Maintenance and Metrics 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Maintenance 165\u003c\/p\u003e \u003cp\u003eSpecify, Profile, and Analyze 167\u003c\/p\u003e \u003cp\u003eImprove 167\u003c\/p\u003e \u003cp\u003eData Quality Metrics 184\u003c\/p\u003e \u003cp\u003eMonitors 185\u003c\/p\u003e \u003cp\u003eScorecards 187\u003c\/p\u003e \u003cp\u003eSummary 189\u003c\/p\u003e \u003cp\u003eNote 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Maturing Your MDM Model 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow to Recognize and Gauge Maturity? 191\u003c\/p\u003e \u003cp\u003eData Governance Maturity 193\u003c\/p\u003e \u003cp\u003eData Stewardship Maturity 194\u003c\/p\u003e \u003cp\u003eData Quality Maturity 195\u003c\/p\u003e \u003cp\u003eData Access Management Maturity 197\u003c\/p\u003e \u003cp\u003eSummary 198\u003c\/p\u003e \u003cp\u003eNotes 199\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Advanced Practices 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Creating the Customer 360 View 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 203\u003c\/p\u003e \u003cp\u003eHierarchy Management (HM) 206\u003c\/p\u003e \u003cp\u003eOperational versus Analytical Hierarchies 207\u003c\/p\u003e \u003cp\u003eSingle versus Multiple Hierarchies 208\u003c\/p\u003e \u003cp\u003eNumber of Levels in the Customer Hierarchy 209\u003c\/p\u003e \u003cp\u003eVirtual versus Physical Customer Records 211\u003c\/p\u003e \u003cp\u003eLegal versus Non-Legal Hierarchies 212\u003c\/p\u003e \u003cp\u003eThe Elusive, yet Achievable, 360 Customer View 213\u003c\/p\u003e \u003cp\u003eSummary 213\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Surviving Organizational Change 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHow Adaptable is Your Customer Master Data? 215\u003c\/p\u003e \u003cp\u003eData Quality Factors 216\u003c\/p\u003e \u003cp\u003eData Completeness 217\u003c\/p\u003e \u003cp\u003eData Consistency 217\u003c\/p\u003e \u003cp\u003eData Integrity 218\u003c\/p\u003e \u003cp\u003eThe Change Management Challenge 219\u003c\/p\u003e \u003cp\u003eData Governance Can Greatly Assist a Transitioning State 220\u003c\/p\u003e \u003cp\u003eLeveraging the Data Stewards and Analysts 220\u003c\/p\u003e \u003cp\u003eAdopting Best Practices 222\u003c\/p\u003e \u003cp\u003eSummary 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Beyond Customer MDM 225\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Leading and Lagging Ends 225\u003c\/p\u003e \u003cp\u003eTechnology’s Influence on MDM 226\u003c\/p\u003e \u003cp\u003eOvercoming the IT and Business Constraints 228\u003c\/p\u003e \u003cp\u003eAchieving an Effective Enterprise-Wide MDM Model 230\u003c\/p\u003e \u003cp\u003eWhere Does MDM Lead? 233\u003c\/p\u003e \u003cp\u003eSummary 235\u003c\/p\u003e \u003cp\u003eNote 236\u003c\/p\u003e \u003cp\u003eRecommended Reading 237\u003c\/p\u003e \u003cp\u003eAbout the Authors 239\u003c\/p\u003e \u003cp\u003eIndex 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDALTON CERVO\u003c\/b\u003e 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 \u003ci\u003eThe Next Wave of Technologies: Opportunities in Chaos\u003c\/i\u003e (Wiley).\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMARK ALLEN\u003c\/b\u003e 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 \u0026amp; Bradstreet, where he was a presenter and panel member for various data governance and master data management events and forums.\u003cbr\u003ePlease visit their website at \u003cb\u003ewww.mdm-in-practice.com\u003c\/b\u003e.\u003c\/p\u003e  \u003cp\u003eA customer places a call to Sears for an appliance repair. The phone system instantly recognizes the number. Once the caller is verified, the system automatically pulls up a complete set of records, including full history and service contracts that are available to the customer service representative answering the call. This is an example of good Customer Master Data Management (MDM) and an effective, profitable use of a company's data. Yet many organizations are still struggling to correct long-standing systemic business problems related to their data and its associated processes. \u003ci\u003eMaster Data Management in Practice\u003c\/i\u003e shows you how to leverage the streamlining power of MDM to improve your organization's data, internal processes, productivity, and profits. \u003c\/p\u003e\u003cp\u003eFocusing on the much-needed \"how\" and \"where\" aspects of MDM planning and implementation, \u003ci\u003eMaster Data Management in Practice\u003c\/i\u003e supports the business practice of Customer MDM from a program manager and data steward perspective. The book presents challenges, questions, advice, instruction, and solutions to help you gain a comprehensive sense of insight and technique that you can immediately apply to your own internal scenarios. \u003c\/p\u003e\u003cp\u003eAuthors Dalton Cervo and Mark Allen draw on their own extensive business and IT experiences to provide a logical order toward planning, implementation, and ongoing management of Customer MDM practices. Rich with enlightening tables, graphs, and charts, \u003ci\u003eMaster Data Management in Practice\u003c\/i\u003e covers: \u003c\/p\u003e\u003cul\u003e \u003cli\u003ePlanning your Customer MDM initiative: the aspects of defining the underlying scope, approach, architecture, and objectives necessary for planning a Customer MDM initiative\u003c\/li\u003e \u003cli\u003eImplementation fundamentals: the practical insight, guidance, questions, options, and examples related to the implementation of the four foundational Customer MDM practices\u003c\/li\u003e \u003cli\u003eAchieving a steady state: how successful aintenance and monitoring practices lead to many self-governing and self-maintaining closed loop practices\u003c\/li\u003e \u003cli\u003eThe characteristics and concepts associated with a mature MDM model: transitioning your data management participants to become well-engaged MDM practitioners while communicating the success and benefits that have emerged from implementing solid MDM practices\u003c\/li\u003e \u003cli\u003eAdvanced practices: future concepts and implications associated with Customer MDM\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eManaging data is key to your company's success. Discover how to support and connect transaction data from multiple business assets with the hands-on deployment strategies found in \u003ci\u003eMaster Data Management in Practice.\u003c\/i\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989579907301,"sku":"NP9780470910559","price":75.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470910559.jpg?v=1761784678","url":"https:\/\/k12savings.com\/products\/master-data-management-in-practice-isbn-9780470910559","provider":"K12savings","version":"1.0","type":"link"}