Improve our payment fraud detection algorithm Objective
Key Results
- Increase the AUC of our fraud detection algorithm by 20%
How to improve our payment fraud detection algorithm
Improving fraud detection is very much a game of algorithms. Consumers (and society) are leaving cash behind, meaning that more and more transactions are moving online.
This means that data analysts and data scientists can work with algorithms to figure out what patterns emerge from fraudulent customers.
The success of such algorithms is often measured using the AUC measure or the false/true positives/negatives matrix.
How to achieve this OKR
Most people who try OKRs fail. But there's hope. You'll need 3 key things to have a much better shot at achieving this and your other OKRs. Fill in your email and we'll take you through each of them, step by step.