Mary Anne Hopper
Mary Anne Hopper is a Senior Manager who leads the SAS Management and Advisory Consulting practice. She has over 20 years of experience helping clients develop, as well as execute, strategies in the areas of data governance, data management, master data management, and reporting and analytics. Her global experience has covered numerous industries and data subject areas including financial services, retail, education, government, manufacturing, partner management, website analytics, supply chain management, and health and life sciences.
Mary Anne is a co-author of the SAS Data Management Framework and SAS Data Governance Maturity Model.
By This Author
Practitioner's Guide to Operationalizing Data Governance
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 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.
Featured Authors
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.