DataRobot Credit Card Fraudulent Transactions
The ability to truly democratize the process is perhaps the most important element of any enterprise machine learning platform. DataRobot automates the entire modeling lifecycle, enabling users to quickly and easily build highly accurate predictive models. The only ingredients needed are curiosity and data — coding and machine learning skills are completely optional.
Fraudulent transactions are costly, but it is too expensive and inefficient to investigate every transaction for fraud. Even if possible, investigating innocent customers could prove to be a very poor customer experience, leading some clients to leave the business.
Using DataRobot, you can automatically build extremely accurate predictive models to identify and prioritize likely fraudulent activity. Fraud units can then create a data-based queue, investigating only those incidents likely to require it. The resulting benefits are two-fold. First, your resources are deployed where you will see the greatest return on your investigative investment. Additionally, you optimize customer satisfaction by protecting their accounts and not challenging innocent transactions.
- Identify fraudulent financial transactions to save significant company money
- Optimize the resources needed to investigate fraudulent transactions
- Maintain high customer satisfaction