Data Stewardship

Data Stewardship

An Actionable Guide to Effective Data Management and Data Governance

1st Edition - September 16, 2013

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  • Author: David Plotkin
  • eBook ISBN: 9780124104457

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Description

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.

Key Features

  • Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership
  • Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management
  • Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards

Readership

Data Stewards and Data Governance Professionals

Table of Contents

  • Dedication

    In praise of Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance

    Acknowledgments

    About the Author

    Foreword

    Introduction

    Problem Statement

    Roles of the Data Steward in Managed Data

    What this Book Covers

    What is not in this Book

    Who Needs this Book?

    Chapter 1. Data Stewardship and Data Governance: How They Fit Together

    Introduction

    What is Data Governance?

    What is Data Stewardship?

    Overall Goals of Data Stewardship

    Moving Data to a Governed State

    The Three P’s: Policies, Processes, and Procedures

    How Data Stewardship Fits into Data Governance

    The Overall Data Governance Organization

    Summary

    Chapter 2. Understanding the Types of Data Stewardship

    Introduction

    Business Data Stewards

    Technical Data Stewards

    Project Data Stewards

    Domain Data Stewards

    Operational Data Stewards

    Summary

    Chapter 3. Data Stewardship Roles and Responsibilities

    Introduction

    Data Stewardship Council

    Enterprise Data Steward

    Business Data Stewards

    Domain Data Stewards

    Project Data Stewards

    Technical Data Stewards

    Operational Data Stewards

    Summary

    Chapter 4. Implementing Data Stewardship

    Introduction

    Championing and Communicating Data Stewardship

    Gaining Support from Above and Below

    Understanding the Organization

    Organizing Data Stewards

    Figuring Out Your Starting Point

    Summary

    Chapter 5. Training Business Data Stewards

    Introduction

    Curricula for Training Business Data Stewards

    Metadata for Key Business Data Elements

    Uses of Data

    Introduction to Data Stewardship Processes

    Tools of the Trade

    Training for Data Quality Improvement

    Summary

    Chapter 6. Practical Data Stewardship

    Introduction

    The Basics

    Setting Up Repeatable Processes

    Understanding How the Business Data Stewards Interact With the Data Governance Program Office

    Using an Issue Log to Get the Day-To-Day Work Done

    Documenting and Communicating the Decisions

    Specifying the Data Stewardship Tools

    Summary

    Chapter 7. Important Roles of Data Stewards

    Introduction

    Role of Data Stewardship in Improving Data Quality

    Role of Data Stewardship in Managing Reference Data

    Role of Data Stewardship in Identity Resolution for MDM

    Role of Data Stewardship in MDM Survivorship

    Role of Data Stewardship in MDM Exception Handling

    Role of Data Stewardship in Information Security

    Role of Data Stewardship in Metadata Management

    Role of Data Stewardship in Supporting Quality Assurance

    Summary

    Chapter 8. Measuring Data Stewardship Progress: The Metrics

    Introduction

    Business Results Metrics

    Operational Metrics

    Summary

    Chapter 9. Rating Your Data Stewardship Maturity

    Introduction

    Data Stewardship Maturity Levels

    Data Stewardship Dimensions

    Measuring Progress in Maturity

    Summary

    Chapter 10. Summing It All Up

    Introduction

    In the Beginning: Data Governance and Data Stewardship

    Types of Data Stewards and their Responsibilities

    Implementing Data Stewardship

    Training Data Stewards

    Being Practical About Data Stewardship

    Roles of Data Stewards in Data Management

    Data Stewardship Metrics

    Data Stewardship Maturity

    Summary

    Appendix A. Example Definition and Derivation

    Definition of “Unique Quote to Close Ratio”

    Derivation of “Unique Quote to Close Ratio”

    Appendix B. Sample Training Plan Outlines

    Training Technical Data Stewards

    Training Project Managers

    Index

Product details

  • No. of pages: 248
  • Language: English
  • Copyright: © Morgan Kaufmann 2013
  • Published: September 16, 2013
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780124104457

About the Author

David Plotkin

David Plotkin
David Plotkin has 30 years of experience in data governance, data modeling, metadata, and data quality. He has led efforts at employers and client companies to plan and implement Data Governance both as stand-alone efforts and as part of other initiatives such as Data Quality improvement and Master Data Management. He has previously managed Data Governance at two insurance companies and managed data quality at two large banks. He is a popular speaker at DAMA courses and conferences and serves as a subject matter expert on many topics around metadata, data governance, and data quality.

Affiliations and Expertise

Advisory Consultant, EMC2, working in Enterprise Information Management

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