Data Governance for Dummies - Jonathan Reichental

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Résumé :

How to build and maintain strong data organizations-the Dummies way

Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization's data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data.

• Identify the impact and value of data in your business
• Design governance programs that fit your organization
• Discover and adopt tools that measure performance and need
• Address data needs and build a more data-centric business culture

This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know....

Biographie:

Jonathan Reichental, PhD, is a technologist, author, and professor. Along with his expertise in data governance, he also focuses on areas such as digital transformation, the fourth industrial revolution, the future of cities, and blockchain technologies. He is author of Smart Cities For Dummies and creator of the popular Learning Data Governance course, published by LinkedIn Learning....

Sommaire:

Introduction 1

Part 1: Data Everywhere 5

Chapter 1: Defining Data Governance 7

Chapter 2: Exploring a World Awash in Data 23

Chapter 3: Driving Value through Data 41

Chapter 4: Transforming through Data 55

Part 2: Delivering Data Governance 75

Chapter 5: Building the Business Case for Data Governance 77

Chapter 6: Focusing on the Fundamentals of Data Governance 91

Part 3: Developing Data Governance 105

Chapter 7: Establishing Data Governance Objectives 107

Chapter 8: Identifying Data Governance Roles and Responsibilities 121

Chapter 9: Designing a Data Governance Program 139

Chapter 10: Deploying a Data Governance Program 157

Part 4: Democratizing Data 183

Chapter 11: Running a Successful Data Governance Program 185

Chapter 12: Measuring and Monitoring a Data Governance Program 209

Chapter 13: Responding to Data Governance Challenges and Risks. 227

Part 5: The Part of Tens 243

Chapter 14: Ten Data Governance Best Practices 245

Chapter 15: Ten Essential Data Governance Stakeholders 255

Index 263