ABSTRACT

Essentials of Modeling and Analytics illustrates how and why analytics can be used effectively by loss prevention staff. The book offers an in-depth overview of analytics, first illustrating how analytics are used to solve business problems, then exploring the tools and training that staff will need in order to engage solutions. The text also covers big data analytical tools and discusses if and when they are right for retail loss prevention professionals, and illustrates how to use analytics to test the effectiveness of loss prevention initiatives. Ideal for loss prevention personnel on all levels, this book can also be used for loss prevention analytics courses. Essentials of Modeling and Analytics was named one of the best Analytics books of all time by BookAuthority, one of the world's leading independent sites for nonfiction book recommendations.

chapter One|8 pages

Introduction

chapter Two|24 pages

Criminology Theory and Crime Prevention

chapter Three|21 pages

Retail Theft and Security

chapter Four|33 pages

Basic Statistical Analysis

chapter Five|27 pages

Graphical Representation

chapter Six|25 pages

Inferential Statistics and Hypothesis Testing

chapter Seven|26 pages

Common Statistical Hypothesis Tests

chapter Eight|21 pages

Testing and Deploying Loss Prevention Programs

chapter Nine|20 pages

Introduction to Modeling

chapter Ten|38 pages

Linear Regression

chapter Eleven|24 pages

Logistic Regression

chapter Twelve|22 pages

Advanced Techniques and Machine Learning Models

chapter Thirteen|11 pages

Integrating Analytics into Loss Prevention Teams

chapter Fourteen|2 pages

Conclusion