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 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.

在《實踐者指南：操作化數據治理》中，經驗豐富的SAS和數據管理專家Mary Anne Hopper引導讀者從計劃、設計、操作化到維護一個有效的數據治理計劃。她探討了組織在計劃開發過程中和之後面臨的最常見挑戰，並提供實用的建議來解決這些問題。

這本書非常適合企業解決與數據治理相關的各種問題，包括：

- 為剛開始思考數據治理的企業提供了一個直接的起點。
- 當企業員工和領導者出於各種原因不信任公司的數據時，提供解決方案。
- 提出了經過驗證的策略，以使偏離軌道的數據治理計劃重新回到正軌。

書中還包含基於真實案例的視覺示例，將成為信息技術高管、經理、數據專業人員和項目經理的圖書館中的一本寶貴資源，幫助他們提供實用的數據治理解決方案。

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.

Mary Anne Hopper 是 SAS 的高級經理。她負責監督 SAS 管理和諮詢顧問業務，並擁有超過 20 年的經驗，幫助客戶在數據治理、數據管理、報告和分析方面制定和執行策略。她是《SAS 數據管理框架》和《SAS 數據治理成熟度模型》的合著者。