[{"_1":2,"_46":-5,"_47":-5},"loaderData",{"_3":4,"_14":15,"_44":-5,"_45":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9,"_10":11},"user","shoppingCartId","toast","locale","en","constants",{"_12":13},"paypalClientId","AenrHU49peF-ZUH-Yq7AXLLNZYGUGlml474U16NCjB4ZznmQCEjiliN3whyuVZmkb7VxEzmTALgtKEKE","routes/_store+/_readers+/email_author.$slug/route",{"_16":17,"_43":-5},"book",{"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNDU1OTg","title","Elements of Data Strategy","state","published","contactAuthorMethod","email","aboutText","

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.

Designing it falls into the hands of a new role - the data strategist. Managing such complex work requires a blend of skills across disciplines and applying them throughout an organization. This book defines the elements needed, their relationships, and blueprints for conducting the required activities.

This work's core is the 3D model - Due Diligence, Design, and Delivery. These three phases ensure the data strategy is informed, complete, and operational. The book is also supported by interviews and advice from data strategy leaders from organizations such as Amazon, Publicis Sapient, Duke University, Deloitte, and others.

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