Understand the new reality of market-driven management with computing power and data science. This book explains how executives use model-based insights and programmable systems to improve planning, policy, and advertising decisions in a complex market.
In clear terms, it shows how decision making shifts from routine analysis to broader, data‑driven problem solving. Readers will learn how simulations, memory and assimilation models, and controlled experimentation can forecast consumer response and guide strategy. The text connects theoretical ideas to practical applications in advertising, forecasting, and product management, without relying on guesswork.
- How computer-based systems organize data, define problems, and support strategic planning.
- How simulation models represent consumer behavior and market responses over time.
- How to code and interpret element prominence, memory content, and assimilation probabilities.
- How advertisers, retailers, and product managers use models to test ideas before implementation.
Ideal for students and professionals exploring modern marketing, management science, and business analytics, this edition helps you grasp the tools shaping decision making in the widespread use of data and automation.