Using analytics successfully to detect fraud | KPMG | CA

Using analytics successfully to detect fraud

Using analytics successfully to detect fraud

The challenges of managing an analytics-driven program and ways to build greater confidence in the effective use of analytics to combat fraud.

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KPMG in Canada

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Using analytics successfully to detect fraud

The role of Data & Analytics in identifying anomalous and suspicious activity and combating it is critical as tech-savvy fraudsters increasingly use technology to perpetrate frauds.

If a detection program is going to succeed, it must have access to reliable data and be trusted to perform according to the company’s expectations. Executives must have confidence that the analytics will work as intended, as they may lose trust in the anti-fraud program if it does not successfully detect cases of wrongdoing in the early phases.

In this article, we look at the challenges of managing an analytics-driven program, ways to build greater confidence in the effective use of analytics to combat fraud and the positive implications for businesses when trust is carefully managed in an anti-fraud analytics program.

Read the article or contact us to find out more about the elements of an effective, anti-fraud analytics process and how companies may benefit from a carefully managed program of fraud detection.

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