Detecting Fraud in the Data Using Automatic Intervention Detection (Part One)

Automatic intervention detection, an advanced computer-based tool, can be used to distinguish companies with fraudulent data from those with no indication of fraudulent reports.

Financial managers, auditors, and fraud examiners are eager to find an automated, timely approach to discovering which publicly traded companies may be harboring financial frauds. Investors, corporate treasurers, and portfolio managers all want a dependable, automatic process to help them sift through voluminous financial data to find the few firms among hundreds that give investors bad information. Sadly, recent history includes many seemingly attractive investment opportunities that became worthless once fraud was discovered.