A new challenge emerges as the world moves further into deploying data and AI-powered solutions. Leaders begin to recognize that such efforts can hardly come to fruition without a plan: the missing piece called data strategy. This book will show you how to design a data strategy for your organization. Whether you are a CDO, CTO, Head of Data, or management consultant—this book will help you wear a new hat—that of a data strategist . Any professional responsible for value delivery from data initiatives needs a framework: all elements and deliverables are necessary for a cohesive yet flexible data strategy. Elements of Data Strategy defines the components needed, their relationships, and blueprints for conducting the required activities. The 3D model—Due Diligence, Design, and Delivery— is at the core. These three phases ensure that the data strategy is informed, complete, and operational. Interviews with data strategy leaders worldwide from organizations such as Amazon, Publicis Sapient, Duke University, Deloitte, and others, provide additional guidance. With this toolkit at your disposal, you are primed to help your organization deliver on the promise of data and AI-driven transformation. "The frameworks and solutions shown are extremely helpful. It really helps in understanding the topic and provides me with tools that I can use myself. A very helpful book for data strategy consultants that want to help businesses get more value out of their data. It describes the tools and frameworks that can be used to really dig down into how data can further support business operations. 11/10 would recommend it!" — Thomas Varekamp, Senior Management Consultant, Capgemini Invent "The book is a great overview of all the things one should consider when building a Data Strategy. I highly recommend this book for anyone building their first Data Strategy. I cannot wait for more deep dives on the specific topics!" — Afke Schouten, Head of Data and AI Strategy, Xebia