Practitioner’S Guide To Operationalizing Data Governance
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From the Back Cover
"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.
Mary Anne Hopper 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 SAS Data Management Framework and the SAS Data Governance Maturity Model.
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