About This Book
Decision-Driven Analytics (2024) challenges the traditional approach of data-driven decision-making by proposing that organizations should begin with the decisions they need to make rather than starting with available data. It presents a framework built on four pillars that helps bridge the gap between data analysts and business decision-makers, addressing the common problem of the failure of analytics efforts when data analysis becomes disconnected from actual business decisions. Rather than treating data as the starting point, this approach emphasizes human judgment in determining which questions matter most for organizational impact.
Who Should Read This?
- Professionals drowning in data seeking clearer decision-making strategies
- Managers bridging gaps between analytics teams and business goals
- Leaders questioning whether more data actually improves their choices
About the Author
Bart De Langhe is a marketing professor at KU Leuven and Vlerick Business School who specializes in behavioral science and data analytics, recognized as one of marketing’s most promising young scholars and honored as a top business school professor. Stefano Puntoni is the Sebastian S. Kresge Professor at Wharton, where he co-directs AI at Wharton and brings a behavioral science lens to artificial intelligence and algorithmic decision-making.
