This text investigates the integration of computer-assisted analytical tools into the marketing planning process to improve decision-making accuracy. The authors, Gary L. Lilien and Arvind Rangaswamy, leverage their extensive academic and practical backgrounds in marketing science to present a structured framework for data-driven strategy. They argue that marketing is an engineering discipline that requires rigorous quantitative methods to optimize resource allocation and market performance.

Experts frequently cite this work as a foundational text for bridging the gap between marketing theory and computational application. Readers often note the academic density of the prose, which serves as a rigorous manual for students and professionals seeking to apply engineering principles to marketing challenges.