Data-driven management has risen sharply from a decade ago, when Thomas Davenport wrote Competing on Analytics.Data is now the critical tool for managing many corporate functions, including marketing, pricing, supply chain, operations, and more. This movement is being further fueled by the promise of AI and machine learning, and by the ease of collecting and storing data about every facet of our daily lives. But has the pendulum swung too far? Are managers relying excessively on data to guide their decisions, abdicating their own knowledge and experience? One possible solution may be found in Agent-Based Simulation(ABS), a novel approach to solving complex business problems through computer simulations.

Data-driven management has risen sharply from a decade ago, when Thomas Davenport wrote Competing on Analytics. Data is now the critical tool for managing many corporate functions, including marketing, pricing, supply chain, operations, and more. This movement is being further fueled by the promise of AI and machine learning, and by the ease of collecting and storing data about every facet of our daily lives. But has the pendulum swung too far? Are managers relying excessively on data to guide their decisions, abdicating their own knowledge and experience?