This series aims to provide concise and accessible introductions to mathematical topics in Analytics and OR. Books in the series are designed to offer a primer on a topic rooted in an illustrative case study or example, and an indication of how the ideas discussed might be usefully applied by the reader. These books are intended to appeal to a mixture of professionals, practitioners and students, and will require only a relatively basic level of mathematical background.
The series is open to proposals on a wide range of topics and applications associated with operations research and analytics, including mathematical analysis, optimization, mathematical modelling, linear and non-linear programming, machine learning, and more.
Please contact us if you have an idea for a book for the series.
By Walter DeGrange, Lucia Darrow
August 30, 2022
Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such as presentation and persuasive writing techniques have been the extent of teaching junior APs how to...