Self-Service Data Analytics and Governance for Managers. Nathan E. Myers
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Self-Service Data Analytics and Governance for Managers
NATHAN E. MYERS
GREGORY KOGAN
Copyright © 2021 by John Wiley & Sons, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data is Available:
ISBN 9781119773290 (hardback)
ISBN 9781119773313 (ePDF)
ISBN 9781119773306 (epub)
Cover image: © imetamorworks/iStock/Getty Images
Cover design: Wiley
My wife, Grazia, my son, Joseph, and our new daughter, Nicole Emma, who arrived just in time to keep me company during this project.– Nathan E. Myers
To my parents, Asya and Yaakov, my wife Carolyn and children Lucia and Matthias. Thank you for all your love and support.– Gregory Kogan
Preface
The breadth and scale of data are growing exponentially, and the growth of data is impacting the shape of organizations. According to the “On Risk 2020” report by the IIA, “Organizations face significant disruption driven by the accelerating pace of technology and the growing ease of mass data collection.” Executives are placing increased reliance on the abundance of data in their decision-making process. A number of factors are driving the steep growth of data: data and metadata created and captured from the Internet of Things (IoT), increasingly interconnected supply chains, proprietary company information generated in unified ERPs, and the increasing number of third-party cloud data sources available for subscription and consumption. Organizations have available far more data than ever before.
The rise of data analytics is transforming business functions in an accelerated pace. This transformation is driven