A practitioner's guide to data governance [electronic book] : a case-based approach / Uma Gupta and San Cannon.

By: Gupta, Uma G [author].

Contributor(s): Cannon, San [author].

Material type: materialTypeLabel

BookPublisher: Bingley, United Kingdom : Emerald Publishing Limited, 2020Copyright date: ©2020Edition: First edition.Description: online resource (v, 240 pages) : color illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781789735703 (paperback); 9781789735673 (e-book).Subject(s): Information technology -- Management

| Management information systems

DDC classification: 658.4038 Online resources: E-book

Contents:

Foundations of data governance -- Impact of organizational culture and the need for change management -- Communication: key to success -- Data strategy -- Data governance frameworks -- Data governance components: data quality, Literacy, and ethics -- Data governance maturity models -- Summary case studies -- Detailed case study -- Execution roadmap.

Summary: Data governance looks deceptively simple on paper. In reality, it is complex. And it is increasingly recognized as a key foundational element necessary to advance analytics and improve operations for organizations of all types across industry. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research. Using case studies, the authors provide insight into how to address the myriad of data governance challenges facing organizations today, with useful and sensible actions and practices. The chapters focus on filling in the blanks of other data governance information, as well as providing both basic and forward-thinking suggestions for some of today's greatest challenges. It is peppered throughout with practical tips for data strategy, data literacy, and data quality. If you are new to data governance, or a seasoned practitioner looking to understand how to better address new issues, this book can help guide you through core elements such as communication, culture, and change management. -- Provided by publisher.

List(s) this item appears in: School of Business Emerald E-book Collection

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
e-BOOK	MTU Bishopstown Library eBook	658.4038 (Browse shelf(Opens below))	Not for loan

Total holds: 0

Enhanced descriptions from Syndetics:

Data governance looks deceptively simple on paper. In reality, it is complex. And it is increasingly recognized as a key foundational element necessary to advance analytics and improve operations for organizations of all types across industry.
In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research. Using case studies, the authors provide insight into how to address the myriad of data governance challenges facing organizations today, with useful and sensible actions and practices. The chapters focus on filling in the blanks of other data governance information, as well as providing both basic and forward-thinking suggestions for some of today's greatest challenges. It is peppered throughout with practical tips for data strategy, data literacy, and data quality.
If you are new to data governance, or a seasoned practitioner looking to understand how to better address new issues, this book can help guide you through core elements such as communication, culture, and change management.

Includes bibliographical references (pages 231-235) and index.

Data governance looks deceptively simple on paper. In reality, it is complex. And it is increasingly recognized as a key foundational element necessary to advance analytics and improve operations for organizations of all types across industry. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research. Using case studies, the authors provide insight into how to address the myriad of data governance challenges facing organizations today, with useful and sensible actions and practices. The chapters focus on filling in the blanks of other data governance information, as well as providing both basic and forward-thinking suggestions for some of today's greatest challenges. It is peppered throughout with practical tips for data strategy, data literacy, and data quality. If you are new to data governance, or a seasoned practitioner looking to understand how to better address new issues, this book can help guide you through core elements such as communication, culture, and change management. -- Provided by publisher.

Electronic reproduction.: Emerald. Mode of access: World Wide Web.

Emerald e-book collection purchased under School of Business Fund.

Author notes provided by Syndetics

Uma G. Gupta, Ph.D., is the Director of Business Analytics at the University of South Carolina at Upstate. Author of more than seventy papers, four textbooks in information technology, and editor of a book on testing expert systems, Uma is frequently a keynote speaker on the impact of technology on personal and organizational productivity. She is the Founder of a non-profit that helps school children and families in poverty.
Sandra "San" Cannon , Ph.D., is the first Chief Data Officer at the University of Rochester. She is responsible for the University's enterprise-wide data strategy, data policy and process development, and data support services. In addition, she teaches data science courses and conducts research on data organization and dissemination, data quality metrics and outcomes, research support processes, and applications of data science techniques. Prior to joining the University, San worked in data management and analytics in the Federal Reserve System for more than 20 years.