Technics Publications

Navigating the Labyrinth Translations

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Navigating the Labyrinth: An Executive Guide to Data Management

If you are leading an organization or if you need to communicate with leaders about data management, Navigating the Labyrinth is your guide.


Chapter 1: The Importance of Managing Data

Chapter 2: Data Management Challenges

Chapter 3: DAMA’s Data Management Principles

Chapter 4: Data Ethics

Chapter 5: Data Governance

Chapter 6: Planning and Design in Data Lifecycle Management

Chapter 7: Enabling and Maintaining Data

Chapter 8: Using and Enhancing Data

Chapter 9: Data Protection, Privacy, Security, and Risk Management

Chapter 10: Metadata Management

Chapter 11: Data Quality Management

Chapter 12: What to do Now

Organizations that want to get value from their data need to manage that data well. But to most executives, data management seems obscure, complicated, and highly technical. You don’t have time to learn all the detail or cut through the hype. Navigating the Labyrinth helps you get there. Based on best practices from DAMA’s Data Management Body of Knowledge (DMBOK2), it explains the fundamentals and says why they are important. It focuses your attention on what you need to know to help your organization build trust in and get value out of its data.

About DAMA

DAMA International is a not-for-profit, vendor-independent association of technical and business professionals dedicated to advancing concepts and practices related to managing data and information in support of business strategy. With chapters throughout the world, DAMA International supports an empowered global community of information professionals by focusing on our five pillars: Membership; Certification and Education; Publications and Research; Chapters and Partnerships. DAMA International encourages best practice behavior through a network of connected individuals and organizations who share ideas, trends, problems, and solutions and who look to DAMA as the trusted, collaborative central resource for all things data. Visit to learn more.