Articles
Industry news, trends and the topics we’re all talking about.
9 reasons customers don't recognise transactions in their banking app. Learn how vague merchant data, missing context, and timing gaps drive avoidable disputes and bank opex costs.
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The need-to-know cost drivers behind false chargeback fraud and the practical enrichment tools that provide the insights you need to build a robust dispute defence for your bank.
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Open banking has been talked about in lending circles for years, but it's rare to hear a lender walk through exactly what changed when they used it. Here's what stood out from our conversation with Admiral Money.
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Cut support costs with 3 banking app features: transaction enrichment, smarter fraud detection, and AI chatbots that know when to escalate.
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Spot card cracking by enriching transaction data, scrutinising merchants, paying attention to tiny transactions and using risk scoring. Feed confirmed attacks back into your model to improve card cracking detection over time.
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Advanced fraud detection in real time is the gold standard that most banks are trying to reach. But current banking systems need real-time transaction insights, better accuracy and deeper segmentation.
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Prevent the operational costs of customer transaction confusion by upgrading your categorisation and enrichment.
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70% accuracy in categorisation and enrichment places too much risk in credit decisions. Learn about why lenders should upgrade their data accuracy to reduce default risk.
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Modern fraud moves faster than batch process systems were designed to handle. Compare batch processing transaction enrichment versus real-time categorisation and enrichment to see where the opportunity lies for banks to reduce fraud.
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Shifting the power dynamic of the rental market, David Firth takes you behind the curtain on our latest partnership with Brick Rewards, which will help London renters to receive rewards at local businesses simply as they paying their rent on time.
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Are false positives a necessary inconvenience or a costly, brand-damaging feature of poor categorisation and enrichment? We explore how devastating false positives can be on operational efficiency, budgets and customer sentiment.
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High false positive rates are not inevitable. With proper structure in place, they can help reduce alert fatigue for your fraud team. But three factors usually drive them: static rules applied to dynamic behaviour, overly sensitive tuning, and incomplete or siloed data.
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