Leveraging Data to Unlock Business Value
summary
Visa shows concrete results using transaction and merchant data to boost revenue and cut losses: a fraud detection system doubles fraud detection (from ~25% to ~50%) while reducing false positives and delivering about $2M extra profit in one example; a ride‑hailing project yields a 5 percentage point market share increase and up to $0.5M weekly return plus a $10M incremental addressable market; co‑brand loyalty work drives 50% incremental spending and highlights that card‑not‑present fraud is ~7.5× higher.
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chapters (24)
- 0:00Introduction
- 1:12Conference agenda
- 2:15Data growth and types
- 4:04Data infrastructure challenges
- 4:26Data-driven use cases
- 5:49Data investment trends
- 6:52Companies outperforming peers
- 7:13Real-world data impact
- 8:58Visa’s payment data
- 10:04Customer attraction with data
- 12:31Growing customer base
- 13:36Personalized loyalty programs
- 15:48Loyalty platform implementation
- 16:52Customer retention and fraud
- 18:39Balancing fraud and experience
- 20:02ML with rule optimization
- 22:11Key takeaways
- 23:18Q&A
- 23:40Retention vs acquisition
- 27:57Customer lifetime value
- 29:20Generative AI today
- 34:21Measuring lifetime value
- 36:09Card usage importance
- 37:34Closing remarks
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