In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential due to a lack of understanding and effective utilization of data within their culture. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governance's pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate on the people, processes, and technology through analytics, literacy, governance, process management, and data inventory management. The authors introduce the groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Each culture type is carefully dissected, revealing associated challenges and opportunities, uncovering suitable strategies in the process. Developing a worthy data culture necessitates a shift in mindset and the development of relevant skills across the organization. Building a Data Culture is your roadmap to fostering data literacy, promoting data-driven decision-making, and cultivating a data-driven mindset. What You'll Learn Assess your organization's current data culture - Identify cultural strengths and weaknesses within your organization - Develop a data governance program - Define data policies and standards and establish decision-making processes Who This Book is For Professionals and leaders across various industries who are interested in building a data culture within their organizations. The typical reader may have a background in data management, analytics, business intelligence, or technology, but the book is designed to be accessible to a wide range of readers with varying levels of expertise. “Building a data culture provides an introduction to the concepts of organizational culture and data culture. ... this book introduces the foundational concepts of organizational and data culture. It stresses the need to shape a data culture that complements the existing organizational culture and strategy. The rest of the book provides practical frameworks, strategies, and real-world examples for building a thriving data culture.” (R. S. Chang, Computing Reviews, April 5, 2024) “Well-organized and easy to read, this work is a must-have for those charged with developing data strategies that work. The authors helpfully explore approaches for organizations in each quadrant of the Usage and Data Flow Culture Model and provide quadrant-specific insights and recommendations for building and sustaining a healthy data culture. The book culminates with thoughtful analysis of several case studies based on the authors’ extensive experience in the field. I strongly recommend this book to chief executives, chief data officers, chief strategy officers, and any others looking for an impactful tool to help build a winning data culture.” (Dr. David Ruth, Dean of the Center for Science, Technology, Engineering, and Mathematics at the University of Austin) “This book serves as an essential resource for Chief Data Officers facing the common challenge of achieving full adoption of their data governance programs. While these leaders often focus on assessing their data governance initiatives in terms of people, processes, and technology, the ultimate success lies in cultivating a data culture. This objective is masterfully addressed through Gary Griffin and David Holcomb's Usage and Flow Data Culture Model.” (Peggy K. Tsai, Chief Data Officer, BigID and Adjunct Faculty, Carnegie Mellon University, Chief Data and Analytics Officer Program, Heinz College) “Thank goodness for Gary Griffin and David Holcomb. In their new book, Building a Data Culture: The Usage and Flow Data Culture Model , Griffin and Holcomb dig deep to present a highly practical and systematic roadmap for building a workable and lasting data culture that will deliver value from data investments. Long overdue. Highly readable, and badly needed!” (Randy Bean, author of Fail Fast, Learn Faster: Lessons in Data Driven Leadership in an Age of Disruption, Big Data, and AI; contributor to Harvard Business Review, Forbes, and MIT Sloan Management Review) “This important book is the kind that should be read from start to finish, highlighted and tabbed and referred back to again and again as the organization and the environment in which it operates shifts and changes. What works for one organization is not necessarily appropriate for another, but data culture is just as important to an organization that values security