In this episode we talk with Albert Drouart from Pagos about everything payments data.
We talk about how businesses can leverage payment data to optimize their transaction processes, reveal hidden issues, and enhance overall performance.
This episode is a must watch for anyone who is working with payments data or looking for different ways to optimize their payments performance.
Through real-life examples and advanced monitoring strategies, Albert explains the transformative potential of data enrichment and AI in the payments landscape.
Key topics include anomaly detection, benchmarking, and AI in payments.
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Timestamps
00:47 Case Study: Subscription Merchant Migration
02:01 Monitoring Payments
04:28 Understanding Payment Methods
06:42 Merchant Expectations
10:04 Challenges in Payment Data Reliability
18:03 Impact of Payment Data on Company Performance
37:39 Payment Analysis vs. Payment Monitoring
46:08 Understanding Processor and Segment Selection
46:36 Challenges in Monitoring and Setting Baselines
47:02 Machine Learning and Segment Selection
47:19 Anomaly Detection and Implementation
48:28 Building Bespoke Models for Metrics
50:40 Fraud Detection and Bin Spikes
53:37 Trends in Alternative Payment Methods
01:00:07 AI and Machine Learning in Payments
01:01:50 Future of AI in Payments
01:14:18 Benchmarking in Payments
01:22:12 Biggest Problems in Payments Today
01:27:01 Practical Advice for Merchants
