Practitioner's guide to operationalizing data governance / Mary Anne Hopper.

Format:

Book

Author/Creator:

Hopper, Mary Anne, author.

Series:

Wiley and SAS business series.

Wiley and SAS business series

Language:

English

Subjects (All):

Database management.

Management information systems--Management.

Management information systems.

Data integrity.

Physical Description:

1 online resource (243 pages)

Place of Publication:

Wiley-Blackwell

Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]

Summary:

Discover what does--and doesn't--work when designing and building a data governance program. In A Practitioner's Guide to Operationalizing Data Governance, 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. Ideal for companies trying to resolve a wide variety of issues around data governance, this book: Offers a straightforward starting point for companies just beginning to think about data governance ;Provides solutions when company employees and leaders don't--for whatever reason--trust the data the company has ;Suggests proven strategies for getting a data governance program that's gone off the rails back on track ;Complete with visual examples based in real-world case studies, A Practitioner's Guide to Operationalizing Data Governance will 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.

Contents:

Cover

Title Page

Copyright Page

Contents

Acknowledgments

Chapter 1 Introduction

Intended Audience

Experience

Common Challenge Themes

Metadata

Access to Data

Trust in Data

Data Integration

Data Ownership

Reporting/Analytics

Data Architecture

Reliance on Individual Knowledge

Culture

How Data Governance Can Help

Chapter 1 - Introduction Summary

Chapter 2 - Rethinking Data Governance

Chapter 3 - Data Governance and Data Management

Chapter 4 - Priorities

Chapter 5 - Common Starting Points

Chapter 6 - Data Governance Planning

Chapter 7 - Organizational Framework

Chapter 8 - Roles and Responsibilities

Chapter 9 - Operating Procedures

Chapter 10 - Communication

Chapter 11 - Measurement

Chapter 12 - Roadmap

Chapter 13 - Policies

Chapter 14 - Data Governance Maturity

Chapter 2 Rethinking Data Governance

Results You Can Expect With Common Approaches to Data Governance

Here Comes Panera

Voluntelling

Misaligning Titles and Roles

Project Delivery

Tool Deployment

What Does Work

Adopting Consistent Definitions

Disciplined Approach to Program Planning, Design, and Execution

Rethinking Data Governance Summary

Chapter 3 Data Governance and Data Management

Results You Can Expect Focusing Purely on Data Governance or Data Management

SAS Data Management Framework

Data Governance

Data Management

Data Stewardship

Business Drivers

Solutions

Methods

Aligning Data Governance and Data Management Outcomes

Data Administration

Data Quality

Data Security

Reference and Master Data.

Reporting and Analytics

Data Life Cycle

Misaligning Data Governance and Data Management

Data Governance and Data Management Summary

Chapter 4 Priorities

Results You Can Expect Using the Most Common Approaches to Prioritization

The List

Level

Volume

Lunch

Communication

Emergency

A Disciplined Approach to Priorities

Business Value

Achievability

Utilizing the Model

University - Formal Weighted Model

Retailer - A Different Approach

Priorities Summary

Chapter 5 Common Starting Points

Results You Can Expect With Too Many Entry Points

Building a Data Portfolio

Metadata Categories

Business Metadata

Technical Metadata

Operational Metadata

Business Definition

Data Element

Data Record

Data Movement

Data Profiling

Common Starting Points Summary

Chapter 6 Data Governance Planning

Results You Can Expect Without Planning

Defining Objectives

Our Objectives

Defining Guiding Principles

Data Governance Planning Summary

Chapter 7 Organizational Framework

Results You Can Expect When There Is No Defined Organizational Structure

Organizational Framework Roles

Support

Oversight

Operations

Facilitation

Defining a Framework

Data Governance Steering Committee

Program Management

Data Owner

Working Group

Aligning the Model to Existing Structures

Leadership Team

Data Manager Team

Domain Definitions - Student

Domain Definitions - Business Operations

Domain Definitions - External

Data Manager

Data Steward

Ad-Hoc Working Group

Data Governance Management

Technical Data Operations

Aligning the Framework to the Culture

Data Governance Sub-Committee

Data Governance Office

Data Steward.

Simplifying the Model

Defining the Right Data Stewardship Model

Data Domain Model

Application Model

Project Model

Organizational Framework Summary

Chapter 8 Roles and Responsibilities

Results You Can Expect When Roles and Responsibilities Are Not Clearly Defined

Aligning Actions and Decisions to Program Objectives

Strategy &amp

Alignment

Establish Data Governance Program

Data Governance Operations

Reference &amp

Master Data

Using a RACI Model

Data Governance Program Operations

Defining Roles and Responsibilities

Data Governance Council

Data Owner Team

Naming Names

Roles and Responsibilities Summary

Chapter 9 Operating Procedures

Results You Can Expect Without Operating Procedures

Operating Procedures

Data Steward Team

Program Management Team

Data Management Team

A Simplified View of Operating Procedures

Workflows

Policy Development

Data Issue Intake

Compliance Monitoring

Prioritization

Operating Procedures Summary

Chapter 10 Communication

Results You Can Expect Without Communication

Communication Plan Components

Message

Objective

Author(s)

Audience

Frequency

Medium

Sample Communication Plan

Communication Summary

Chapter 11 Measurement

Results You Can Expect Without Measurement

What Measurements to Define

Program Scorecard - A Starting Point

Data Governance Participation.

Data Governance Program Milestones

Policy Compliance

Program Scorecard Sample

Measurement Summary

Chapter 12 Roadmap

Results You Can Expect Without a Roadmap

First Step in Defining a Roadmap: Implementing Your Framework

Defining a Roadmap

Workstreams

Launch Data Governance

Data Warehouse Program Management

Formality First or Save it For Later?

Critical Success Factors

Roadmap Summary

Chapter 13 Policies

Results You Can Expect Without Policies

Breaking Down a Policy

Policy

Procedure

Standard

Best Practice

Contents of a Policy

Policy Example - Metadata

Name

Policy Purpose

Policy Objectives

Policy Statement

Attendant Procedures and Standards

Metadata Collection Standard Template

Scope/Affected Area(s)

Roles and Responsibilities

Compliance

Effective Date

Maintenance and Review

Policy Example - Data Quality

Procedures

Standards

Policy Summary

Chapter 14 Data Governance Maturity

Results You Can Expect With Maturity

Data Governance Maturity Cycle

Stage 1 - Define Program

Stage 2 - Identify Challenges

Stage 3 - Develop Policy

Stage 4 - Policy Execution

Stage 5 - Monitor and Communicate

Maturing Your Program

Summary

About the Author

Glossary of Terms

Index

EULA.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Includes index.

ISBN:

9781119851455

1119851459

9781119851462

1119851467

9781119851431

1119851432

OCLC:

1378389243