Top Data Analytics Use Cases for Fraud Detection
Businesses lose almost $4 trillion annually due to fraud around the world. According to data from the Association of Certified Fraud Examiners (ACFE) 2018 study, the majority of typical firms faced a 5% revenue loss risk due to fraud. Healthcare is one of the industries that experiences significant losses as a result of fraud; businesses lose over $68 billion yearly, or 3% of all healthcare expenditures. Organizations are finding it more difficult to put in place effective systems for identifying and preventing fraud as fraud spreads across industries and different kinds of businesses. Data analytics solutions help you to over come these problems by analyzing and protecting your data Analytics for Fraud Detection: Finding Hidden Threats Detecting fraud in an organization, whether it be current or anticipated, is the first step in the fraud detection process. Systems must be in place to detect fraud at an early stage so that action may be done to either stop it from happening or lessen...