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The life of a Chief Data and Analytics Officer is wrought with challenges. But while each executive’s strategy is unique to their business, the obstacles they face while delivering that strategy are not. Based on in-depth interviews with 11 of the world’s top data-focused executives, this special report highlights the six common challenges these business leaders typically face. Then, it reveals how our contributors are overcoming them to achieve their strategic goals. First, we outline a ‘questions first’ approach that helped Morgan Stanley’s Russell Barker align his strategy with corporate goals and reveal why Sallie Mae’s Wendy Zhang believes setting expectations about what AI can do is crucial for data strategy success. Next, three top executives share their perspectives on how to balance long- term investments with driving short-term value and VW’s Gabriele Compostella PhD shares his experiences of how data- focused leaders’ priorities evolve as they execute their strategies. Third, Levi Strauss & Co’s Katia Walsh PhD outlines why data- focused executives must be master communicators and Banorte’s Jose A Murillo reveals the role data literacy workshops are playing in bolstering executive support for the bank’s data- driven business transformation. Next, AI-focused leaders including RappiBank’s Dr Alejandro Bahnsen outline the different job roles and technical proficiencies data teams typically need at each stage of data and analytics maturity. Fifth, executives including Citi’s Dan Costanza and Theory+Practice’s Rogayeh Tabrizi PhD outline their approaches to overcoming the technical and human challenges enterprises face when putting data-driven solutions into production. Finally, our contributors explore how executives at legacy organizations can build on their early successes |
