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Projects and references

FRAUD DETECTION in financial sector

Helps financial institutions to identify non-standard states and deviations in client behavior and qualify in time the increased probability of their risk behaviors.

Case Study Fraud Detection in financial sector
Project overview

Purpose

It helps financial institutions identify non-standard situations and deviations in client behavior and assess the increased likelihood of risky behavior in a timely manner.

Solution

Using Business Intelligence and Artificial Intelligence can identify potential fraud cases.

Key features and benefits

Savings

Provable savings due to the higher rationality of the decisions made

Prevention

Savings resulting from effective preventive measures in the area of potential fraud

Cost reduction

Cost reduction of the process itself for finding deviations and nonstandard states

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