Fraud Risk Analytics (Excel & AI based tools) and Prevention

Fraud Risk Analytics (Excel & AI based tools) and Prevention udemy course

Detect & Prevent Fraud Smartly | Assess your company's maturity to manage fraud

Fraud is everywhere! History is replete with many high profiles examples like Satyam, Enron and Lehman Brothers that caused billions of dollars of fraud. However, fraud can adversely affect the bottom line of any organization and hence it becomes important to detect and prevent fraud. Though fraud in banking and online transactions generate lot of visibility, fraud occurs in every industry and every process area.

Whatever be your industry or process, focus should always be on prevention since recovering costs from perpetrators of fraud is always a challenging affair.

This program focuses on both these aspects of fraud – detection and prevention and brings in both operations and technology perspectives.

The following are covered in the program:

• What is fraud – Characteristics and different types of fraud

• How to detect fraud and how to prevent fraud.

• Benford law

• Box plots to identify outliers

• Detect fraud programmatically

• Understand the drivers of fraud through Explainer AI (XAI)

• Detect fraud through AutoML (No Code Machine Learning using PowerBI)

• Best practices in fraud management

In fraud detection, the program covers tools and techniques that can be deployed both using excel and AI. A walk through of applying the techniques in excel has been provided for better understanding.

A cool framework to assess the maturity of the organization for fraud management is also provided.

This program is facilitated by an industry veteran who has managed fraud detection and prevention in his career. He brings his vast experiences and perspectives into this program.