Business Decisions

This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github.

From an experienced organizational psychologist comes a unique guide to learning how to better read and understand people and make improved, more informed business decisions about them—including choosing the right employees, fostering relationships in the workplace, resolving conflicts more effectively, and optimizing your performance on the job—using the science of personality.