/home/leansigm/public_html/components/com_easyblog/services Detecting online frauds
By Nitin Sinha on Tuesday, 14 July 2015
Category: Analytics

Detecting online frauds

As the frequency of credit card fraud is increasing, so are the costs associated with these bad transactions that include, lost merchandise, lost profit, transportation costs, etc. Hence, enter fraud analysts, who are continuously updated through automated machine learning, about any sort of fraudulent activities, spotted by customers, online. Five ways to spot and prevent online fraud:
1. Users with no shopping history can be suspected, who may create new accounts only to test stolen credit card information.
2. Bulk orders of multiple costly items are to be suspected.
3. Hastening up a delivery process is to be suspected, as imposters try to get benefited as much as possible, before getting detected.
4. Multiple accounts or multiple shipping or billing addresses, with any one common factor, out of the three, should be cross-checked.
5. Accounts with multiple credit cards should also be cross-checked.
Read more at: http://www.business2community.com/big-data/5-telltale-signs-your-business-is-battling-credit-card-fraud-01271169

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