{"product_id":"practitioners-guide-to-operationalizing-data-governance-isbn-9781119851424","title":"Practitioner's Guide to Operationalizing Data Governance","description":"\u003cp\u003e\u003cb\u003eDiscover what does—and doesn’t—work when designing and building a data governance program\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eA Practitioner’s Guide to Operationalizing Data Governance\u003c\/i\u003e, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. \u003c\/p\u003e\u003cp\u003eIdeal for companies trying to resolve a wide variety of issues around data governance, this book: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eOffers a straightforward starting point for companies just beginning to think about data governance\u003c\/li\u003e \u003cli\u003eProvides solutions when company employees and leaders don’t—for whatever reason—trust the data the company has\u003c\/li\u003e \u003cli\u003eSuggests proven strategies for getting a data governance program that’s gone off the rails back on track\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eComplete with visual examples based in real-world case studies, \u003ci\u003eA Practitioner’s Guide to Operationalizing Data Governance \u003c\/i\u003ewill earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions. \u003c\/p\u003e\u003cp\u003eAcknowledgments xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntended Audience 2\u003c\/p\u003e \u003cp\u003eExperience 2\u003c\/p\u003e \u003cp\u003eCommon Challenge Themes 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Rethinking Data Governance 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect with Common Approaches to Data Governance 18\u003c\/p\u003e \u003cp\u003eWhat Does Work 21\u003c\/p\u003e \u003cp\u003eRethinking Data Governance Summary 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Data Governance and Data Management 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Focusing Purely on Data Governance or Data Management 26\u003c\/p\u003e \u003cp\u003eSAS Data Management Framework 26\u003c\/p\u003e \u003cp\u003eAligning Data Governance and Data Management Outcomes 38\u003c\/p\u003e \u003cp\u003eMisaligning Data Governance and Data Management 43\u003c\/p\u003e \u003cp\u003eData Governance and Data Management Summary 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Priorities 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Using the Most Common Approaches to Prioritization 48\u003c\/p\u003e \u003cp\u003eA Disciplined Approach to Priorities 50\u003c\/p\u003e \u003cp\u003eUtilizing the Model 55\u003c\/p\u003e \u003cp\u003ePriorities Summary 64\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Common Starting Points 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect with Too Many Entry Points 66\u003c\/p\u003e \u003cp\u003eBuilding a Data Portfolio 66\u003c\/p\u003e \u003cp\u003eMetadata 67\u003c\/p\u003e \u003cp\u003eData Quality 70\u003c\/p\u003e \u003cp\u003eData Profiling 75\u003c\/p\u003e \u003cp\u003eCommon Starting Points Summary 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Data Governance Planning 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without Planning 78\u003c\/p\u003e \u003cp\u003eDefining Objectives 78\u003c\/p\u003e \u003cp\u003eDefining Guiding Principles 85\u003c\/p\u003e \u003cp\u003eData Governance Planning Summary 88\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Organizational Framework 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect When There Is No Defined Organizational Structure 92\u003c\/p\u003e \u003cp\u003eOrganizational Framework Roles 92\u003c\/p\u003e \u003cp\u003eDefining a Framework 94\u003c\/p\u003e \u003cp\u003eAligning the Model to Existing Structures 97\u003c\/p\u003e \u003cp\u003eAligning the Framework to the Culture 100\u003c\/p\u003e \u003cp\u003eSimplifying the Model 103\u003c\/p\u003e \u003cp\u003eDefining the Right Data Stewardship Model 104\u003c\/p\u003e \u003cp\u003eOrganizational Framework Summary 109\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Roles and Responsibilities 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect When Roles and\u003c\/p\u003e \u003cp\u003eResponsibilities Are Not Clearly Defined 112\u003c\/p\u003e \u003cp\u003eAligning Actions and Decisions to Program Objectives 112\u003c\/p\u003e \u003cp\u003eUsing a RACI Model 119\u003c\/p\u003e \u003cp\u003eDefining Roles and Responsibilities 126\u003c\/p\u003e \u003cp\u003eData Governance Steering Committee 126\u003c\/p\u003e \u003cp\u003eData Management 131\u003c\/p\u003e \u003cp\u003eNaming Names 131\u003c\/p\u003e \u003cp\u003eRoles and Responsibilities Summary 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Operating Procedures 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without Operating Procedures 138\u003c\/p\u003e \u003cp\u003eOperating Procedures 138\u003c\/p\u003e \u003cp\u003eWorkflows 146\u003c\/p\u003e \u003cp\u003eOperating Procedures Summary 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Communication 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without Communication 154\u003c\/p\u003e \u003cp\u003eCommunication Plan Components 154\u003c\/p\u003e \u003cp\u003eSample Communication Plan 156\u003c\/p\u003e \u003cp\u003eCommunication Summary 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Measurement 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without Measurement 162\u003c\/p\u003e \u003cp\u003eWhat Measurements to Define 162\u003c\/p\u003e \u003cp\u003eProgram Scorecard – A Starting Point 166\u003c\/p\u003e \u003cp\u003eProgram Scorecard Sample 172\u003c\/p\u003e \u003cp\u003eMeasurement Summary 173\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Roadmap 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without a Roadmap 176\u003c\/p\u003e \u003cp\u003eFirst Step in Defining a Roadmap:\u003c\/p\u003e \u003cp\u003eImplementing Your Framework 176\u003c\/p\u003e \u003cp\u003eDefining a Roadmap 178\u003c\/p\u003e \u003cp\u003eFormality First or Save It for Later? 184\u003c\/p\u003e \u003cp\u003eCritical Success Factors 185\u003c\/p\u003e \u003cp\u003eRoadmap Summary 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Policies 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect Without Policies 190\u003c\/p\u003e \u003cp\u003eBreaking Down a Policy 190\u003c\/p\u003e \u003cp\u003eContents of a Policy 192\u003c\/p\u003e \u003cp\u003ePolicy Example – Metadata 193\u003c\/p\u003e \u003cp\u003ePolicy Example – Data Quality 200\u003c\/p\u003e \u003cp\u003ePolicy Summary 204\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Data Governance Maturity 207\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResults You Can Expect With Maturity 208\u003c\/p\u003e \u003cp\u003eData Governance Maturity Cycle 209\u003c\/p\u003e \u003cp\u003eMaturing Your Program 215\u003c\/p\u003e \u003cp\u003eSummary 216\u003c\/p\u003e \u003cp\u003eAbout the Author 217\u003c\/p\u003e \u003cp\u003eGlossary of Terms 219\u003c\/p\u003e \u003cp\u003eIndex 221\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eMary Anne Hopper\u003c\/b\u003e is a Senior Manager at SAS. She oversees the SAS Management and Advisory Consulting practice and has over 20 years’ experience helping clients develop and execute strategies in data governance, data management, reporting, and analytics. She is a co-author of the \u003ci\u003eSAS Data Management Framework\u003c\/i\u003e and the \u003ci\u003eSAS Data Governance Maturity Model.\u003c\/i\u003e   \u003c\/p\u003e\u003cp\u003eEffective data governance— the process of managing the understanding, availability, usability, integrity, and security of the data in enterprise systems—ensures data consistency, reusability, trustworthiness, and security. It’s increasingly critical as organizations rely more heavily on data analytics to guide their operations while facing new data privacy regulations. \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003ePractitioner’s Guide to Operationalizing Data Governance\u003c\/i\u003e, veteran data professional Mary Anne Hopper delivers a thorough and easy-to-understand exploration of what does and doesn’t work in planning, designing, operationalizing, and sustaining a data governance program. The book discusses where most organizations face the majority of their challenges in program development and offers practical and actionable advice to help address these challenges. \u003c\/p\u003e\u003cp\u003eReaders will learn to avoid common pitfalls and plot an efficient path forward whether their company is just beginning to think about data governance or needs to get an existing data governance program back on track. Each chapter contains real-world observations and quotes from companies that have addressed the discussed topic in their own operations, as well as visual, real-life examples to help readers get a firm grasp of how to move the topic forward at their own organization. \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePractitioner’s Guide to Operationalizing Data Governance \u003c\/i\u003edemonstrates how to deal with situations in which a general distrust of a company’s data pervades an organization and how to solve the problem of data creation and recreation causing issues with reporting and analytic results. Readers will also discover how to resolve communication issues between business and IT stakeholders. \u003c\/p\u003e\u003cp\u003eAn essential read for executives, managers, and other business leaders, this book is also uniquely suited for data and project managers interested in creating or strengthening their firm’s data governance policies and strategies.   \u003c\/p\u003e\u003cp\u003e “I liked how Mary Anne brought a full toolbox of knowledge to the subject. It was thought-provoking from start to finish and supported by experience and expertise. I also appreciated the guidance approach, using cause-and-effect visuals, good cadence, and somewhat casual business delivery. Makes this an enjoyable read.”\u003cbr\u003e \u003cb\u003e—Erin Progelhof, \u003c\/b\u003eManaging Director, Protiviti \u003c\/p\u003e\u003cp\u003e“Great examples in every chapter that are easy to follow. I will be able to use them to make our program stick this time.”\u003cbr\u003e \u003cb\u003e—Thayer Adkins, \u003c\/b\u003eDirector of Partnerships, Dataiku \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePractitioner’s Guide to Operationalizing Data Governance\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePractitioner’s Guide to Operationalizing Data Governance \u003c\/i\u003ewalks readers through how to plan, design, operationalize, and maintain an effective enterprise data governance program. Written by senior data consultant and manager Mary Anne Hopper, the book discusses the challenges most commonly encountered by organizations when creating or adapting a data governance program. It offers tried-and-tested, practical solutions to addressing these challenges and provides hands-on advice on avoiding costly pitfalls. \u003c\/p\u003e\u003cp\u003eFilled with visual examples and real-world case studies, \u003ci\u003ePractitioner’s Guide to Operationalizing Data Governance \u003c\/i\u003epresents solutions for organizations just beginning their data governance program implementation as well as those who have a program in place and are trying to get it back on track. It also explores how to adequately train and educate your employees on data governance concepts and what to do when your people don’t trust the data that you have. \u003c\/p\u003e\u003cp\u003eThis book is a must-read guide for any executive, manager, project lead, or other business leader seeking to create or improve their organization’s data governance policies, framework, or program. It’s a practical, real-world handbook that offers hands-on solutions.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989837922533,"sku":"NP9781119851424","price":49.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119851424.jpg?v=1761785634","url":"https:\/\/k12savings.com\/es\/products\/practitioners-guide-to-operationalizing-data-governance-isbn-9781119851424","provider":"K12savings","version":"1.0","type":"link"}