Fraud analytics is where data is used via various analysis techniques to avoid different variations of financial fraud. More specifically, it can help organisations predict and therefore prevent future fraudulent behavior, which can then help them quickly detect fraudulent activity in the present time.
The process of fraud analytics requires collecting and accumulating the appropriate data and studying it for certain inconsistencies and anomalies. Once results have come through, they are converted into different understandings which can allow companies to handle potential fraudulent threats before they happen. This can also allow companies to create a fraud detection method.
IntelliQ uses Forensic Analytics, which can quickly identify exceptions and uncover hidden behavior that suggests fraud is being committed.
Updated on 19/07/2022