A Practitioner's Guide to Data Governance: A Case-Based Approach - Paperback
by Uma Gupta, San Cannon
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Languages:EnglishPublisher:Emerald Publishing LimitedISBN-13:9781789735703ISBN-10:178973570XUPC:9781789735703Book Category:Business & EconomicsBook Subcategory:Business Ethics, Management, Decision Making & Problem SolvingSize:7.60 x 4.90 x 0.60 inchesWeight:0.55Product ID:SCEPAS9QJG
Data governance looks simple on paper, but in reality it is a complex issue facing organizations. 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.
Languages:EnglishPublisher:Emerald Publishing LimitedISBN-13:9781789735703ISBN-10:178973570XUPC:9781789735703Book Category:Business & EconomicsBook Subcategory:Business Ethics, Management, Decision Making & Problem SolvingSize:7.60 x 4.90 x 0.60 inchesWeight:0.55Product ID:SCEPAS9QJG
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.
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.
Publisher: Emerald Publishing Limited
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