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Fraud Detection and Prevention

Identify non-obvious patterns and prevent fraud before it impacts your bottom line.

Spot and address fraud early, before it’s too late

Traditional methods for fraud detection and prevention are both expensive and ineffective. It’s impossible for most companies to sift through every transaction they’re involved in, and selecting random samples is still a time-intensive process that provides a limited view of issues that are typically widespread. For companies without a sound mitigation plan, fraud eats away at profits and hinders the ability to serve legitimate customers.

The good news? Companies who are able to analyze large amounts of data in real-time can automatically flag behaviors that are commonly associated with fraud – allowing them to proactively address issues and minimize negative financial impact. Here’s how RapidMiner can help you get started.

Stop fraud quickly

Detect complex behavioral patterns early enough to take action before it has a widespread damaging impact.

Flag high-risk cases

Isolate fraud cases in real-time by constantly monitoring a high volume of transactional data.

Protect profits & improve service

Minimize fraud-induced losses, waste less time on random manual inspections, and provide better service to legitimate customers.

Find out how ML can transform your business

We apply our expertise to help you identify the use cases you should tackle in your organization. The outcome is an impact-feasibility map that you can use with or without us.

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Fraud & Anomaly Detection

Learn how machine learning can be used for more effective fraud and anomaly detection by focusing on high risk cases instead of wasting time with random checks.

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Get started with your fraud detection and prevention project today!