From anomalies to insights: leveraging data analytics for Detecting Complex financial frauds

Abstract

Fraudsters are becoming more sophisticated as they commit frauds at higher rates. Investigators use sophisticated data analytics to identify and define fraud through their investigations to detect fraud. Advanced Data Analytics methods identifies red flags in fraud schemes that could be missed by traditional fraud detection methods. The advanced data analytics methods allowed investigators to review the fraudulent activity that was potentially overlooked by using traditional methods. The two Quantitative Models Were Utilized to Identify Manipulation In the Financial Information of Sun Pharma Ltd were the Piotroski F-Score Model - A Nine-Point Profit/Leverage "Health Check" For Companies and the Altman Z-Score Model - An Established Model for Predicting Bankruptcy.

The analysis of Sun Pharma Ltd. uses both above models to provide an overall understanding of the factors that contribute to the success of a company and how each model contributes to the success of Sun Pharma Ltd. Through the application of these models, it has been demonstrated that Sun Pharma Ltd. is a very financially healthy company.