Fraud Risk Analytics (Excel & AI based tools) and Prevention
Learn how to detect and prevent fraud with this comprehensive program. Covering various techniques, including using Excel and AI, this course is perfect for auditors, risk consultants, and fraud investigators. Led by an industry veteran, gain valuable insights into fraud management best practices. Suitable for both beginners and experienced professionals.
What you’ll learn
- What is fraud
- How to detect fraud
- How to prevent fraud
- What is fraud triangle
- What is Benford Law
- How to use excel to detect fraud
- How AI is helping in detecting fraud
- How to assess an organization for its maturity on fraud prevention
- How to find anomalies in a dataset
- How to programmatically detect fraud
- How to apply unsupervised learning to detect fraud
- How to apply supervised learning to detect fraud
- How to use box plots to identify fraud
- What is image analytics and how it is used to detect fraud
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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
How AI can help detect fraud including a case study on AI in action
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.
Who this course is for:
- Auditors
- Risk consultants
- Machine learning enthusiasts
- Students
- Managers and Senior Management involved in fraud risk management
- Fraud Investigators
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