Additional information
by Mary Anne Hopper (Author)
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.
Front Jacket
Effective 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.
In Practitioner's Guide to Operationalizing Data Governance, 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.
Readers 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.
Practitioner's Guide to Operationalizing Data Governance demonstrates 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.
An 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.
Back Jacket
"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."
--Erin Progelhof, Managing Director, Protiviti
"Great examples in every chapter that are easy to follow. I will be able to use them to make our program stick this time."
--Thayer Adkins, Director of Partnerships, Dataiku
Practitioner's Guide to Operationalizing Data Governance
Practitioner's Guide to Operationalizing Data Governance walks 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.
Filled with visual examples and real-world case studies, Practitioner's Guide to Operationalizing Data Governance presents 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.
This 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.
