- Banking
3 features to integrate into your banking app to lower support costs
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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Articles
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Industry news, trends and the topics we’re all talking about.
- Banking
Card testing fraud: spotting BIN attacks before the large drain
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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- Banking
3 ways for banks to get faster transaction fraud detection
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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- Banking
The £23.5 million transaction dispute tax: the cost of customer confusion
Prevent the operational costs of customer transaction confusion by upgrading your categorisation and enrichment.
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- Lending
Why 70% accuracy in internal categorisation isn’t enough for credit risk modelling
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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- Banking
Why batch processed transaction enrichment is the silent enabler of modern payment fraud
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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- Lending
The rental revolution: turning monthly payments into financial rewards
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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- Banking
Transaction fraud detection: are false positives really that bad for banks?
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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- Banking
Three reasons your bank fraud analysts are drowning in low-risk false positives
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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- Pensions
How pension providers can launch better member journeys in weeks, not years
Widgets are the key to unlocking faster development and better journeys for pension providers to offer to their members. Sarah Farrier, Product Manager at Moneyhub takes pension providers through the reasons to use widgets as the perfect ROI tester before committing to larger roadmap activities.
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- Banking
- Lending
Protecting the backbook: why data, not just rates, will win the 2026 remortgage race
With remortgage applications surging by 46% in early 2026, lenders must shift their focus from interest rate competition to providing frictionless, data-led customer journeys. By leveraging Moneyhub’s AI-powered categorisation engine and Open Banking data, firms can automate income verification, slash underwriting times, and proactively support vulnerable borrowers.
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- Banking
- Pensions
- Wealth
Activating 29 million ‘current account coasters’: key learnings from our webinar with Paragon Bank
29 million UK adults are "coasting" in low-interest accounts, costing them £20bn a year. Host David Firth shares his learnings from our recent webinar with Paragon Bank and how their Spring Savings app has enabled them to activate these customers, driving significant deposit growth and increased loyalty through intelligent simplicity.
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