
Practitioner's Guide to Operationalizing Data Governance by Mary Anne Hopper
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 meet 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.
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Predictive Business Analytics
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Demand-Driven Forecasting
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Predictive Analytics for Human Resources
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Credit Risk Scorecards
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Business Analytics for Managers
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
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Trade-Based Money Laundering
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Artificial Intelligence for Marketing
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Statistical Thinking
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Executive's Guide to Solvency II
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Harness Oil and Gas Big Data with Analytics
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The Analytics Lifecycle Toolkit
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Bank Fraud
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Visual Six Sigma
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Analytics
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Style and Statistics
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Anti-Money Laundering Transaction Monitoring Systems Implementation
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Business Intelligence Competency Centers
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Big Data Analytics
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The Visual Organization
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The Data Asset
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Economic Modeling in the Post Great Recession Era
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Case Studies in Performance Management
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Mastering Organizational Knowledge Flow
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Marketing Automation
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Business Transformation
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Heuristics in Analytics
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Economic and Business Forecasting
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Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners (Wiley and SAS Business Series)
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Credit Risk Analytics
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Profit Driven Business Analytics
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Agile by Design
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Killer Analytics
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The Analytic Hospitality Executive
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Demand-Driven Inventory Optimization and Replenishment
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Win with Advanced Business Analytics
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A Practical Guide to Analytics for Governments
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Intelligent Credit Scoring
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Strategies in Biomedical Data Science
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Next Generation Demand Management
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Hotel Pricing in a Social World
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.
| SKU | Unavailable |
| ISBN 13 | 9781119851424 |
| ISBN 10 | 1119851424 |
| Title | Practitioner's Guide to Operationalizing Data Governance |
| Author | Mary Anne Hopper |
| Series | Wiley And Sas Business Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley |
| Year published | 2023-05-18 |
| Number of pages | 240 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |








































