Business Data Miners

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Products & Services

Fraudulent Card Early Detection
Take action before fraud happens. BDM’s algorithm is able to detect risky cards that will likely have fraudulent activities within 6 months in the future. If we reissue them today or closely monitor their transactions, we can reduce significant amount of fraud loss. In a list of risky cards that we detected for a top 15 bank, 19% of them had fraudulent activities within 3 months. This is how it works. You send us historical transactions and known fraudulent frauds, we will return a list of risky cards. Normally the NPPI data are masked for security.

Fraud Predictive Models
Our fraud predictive models run on scoring engines and calculate risk scores for transactions or accounts. A web-based front-end user tool allows the user to review the report. The calculated risk scores are also accessible through a web service and may be incorporated into your existing fraud prevention system.

Predictive Model 

"If we maintain the same fraud prevention staff level, it is forecasted that the total fraud loss prevented will be up 20%." - Dr. Jay Zhou

Existing Fraud Detection System Optimization
We optimize existing fraud detection systems by adjusting parameters and identifying hidden fraud behavior patterns.

Fraud Detection Goal 
Fraud Detection Risk and Value 
Fraud Detection Optimization 

Vendor Evaluation
As experts, we evaluate fraud prevention solutions proposed by vendors and identify their strengths and weaknesses so that you can make the best decision for your enterprise.

Fraud Prevention Training
We offer training classes on how to build predictive analytics solutions to fraud detection.

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