Reports

The Dummy Handbook on Data Science for Fraud Detection

Leave behind buzzwords and obfuscation to become fluent in data science and ML for fraud prevention.

What we discuss in this simple handbook:

  • What fraud data scientists do
  • Terminology to understand fraud data science and foster cross-functional collaboration
  • The tools that data science teams use to deliver top results in fraud prevention
  • Bonus!The ultimate machine learning and data science for fraud glossary.

Get the Handbook

Data science is one of the fastest growing fields of knowledge in business, and its importance for fraud detection cannot be overlooked by modern experts.

This document provides an introduction to the work of data scientists in the context of using machine learning to fight fraud in digital businesses, including financial services, ecommerce, and social networks. It discusses the main activities, goals, and challenges at play in the intersection of data science and fraud detection with the main purpose of facilitating communication between data scientists and engineers and the other members of fraud prevention teams.
The Dummy Handbook on Data Science for Fraud Detection 2
About DataVisor

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.