CS Professional · Artificial Intelligence, Data Analytics and Cyber Security - Laws and Practice · Data Analytics
A private bank in Pune applies analytics to customer transaction data and finds a cluster of accounts with many small deposits just under a reporting threshold, followed by quick transfers abroad. Which analytics application is the bank mainly employing?
The bank is using anomaly detection to monitor fraud and money laundering. Many small deposits just under a reporting threshold, followed by rapid foreign transfers, form an unusual pattern that analytics can flag for investigation. Inventory, engagement or advertising analytics do not examine transaction behaviour.
- AAnomaly detection for fraud and money laundering monitoringCorrect
- BInventory optimisation
- CEmployee engagement scoring
- DSentiment analysis of advertisements
Explanation
Patterns of structured deposits just below a threshold followed by quick transfers are red flags found through anomaly detection, supporting anti-money laundering monitoring. Inventory, engagement and advertisement sentiment analysis do not address transactional irregularities.
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