Fintel AnalyticsPayments Reconciliation Analytics: Automate & Scale in 2026
Manual payments reconciliation breaks at scale — and the cost is higher than most fintech teams realise. Here is how to automate it properly with modern data engineering.
Fintel Analytics blog
Data & AI Insights
Expert perspectives on data analytics, AI agents, internal tools, and business intelligence from the Fintel Analytics team.
14 of 206 posts
Authorization Rate Analytics: Fix Declining Payments in 2026
Poor authorization rates silently drain revenue from payment businesses. This guide shows exactly how to build the analytics stack to diagnose, monitor, and fix them.
Stablecoin Payments Analytics: Build the Data Stack That Works
Stablecoin payment volumes are exploding — but the data infrastructure most fintechs are running is not built for on-chain flows. Here is how to fix that.
Cross-Border Payments Analytics: Build Real Corridor Visibility
Most cross-border fintechs are flying blind on their most important metrics. Here's how to build the analytics layer that gives you real corridor visibility.
Interchange Fee Analytics: Stop Flying Blind on Card Costs
Most fintech and payments businesses are losing basis points on every transaction without knowing it. Here is how to build interchange fee analytics that actually show you where the money is going.
Fraud Analytics for Fintech: Fix False Positives in 2026
Fraud analytics for fintech payments is about more than catching bad transactions — it is about building the data infrastructure that stops your fraud model from killing legitimate revenue.
Virtual IBAN Analytics: Fix Broken vIBAN Data in 2026
Virtual IBANs promise automated reconciliation — but the data stack behind them is usually broken. Here is how to fix it before it costs you.
Payment Operations Analytics: Fix Blind Spots in 2026
Most fintech ops teams fly blind on the metrics that matter most — settlement timing, PSP cost efficiency, and reconciliation breaks. Here is how to fix that with a proper payment operations analytics layer.
Chargeback Dispute Analytics: Stop Flying Blind on Losses
Chargebacks are no longer just a cost of doing business — they are a data problem. Here is how to build the analytics stack that turns dispute losses into managed, measurable outcomes.
Card Programme Analytics: Build Intelligence Into Your Issuing Stack
Most fintech card issuers are flying blind. They know their card is live — but they don't know why authorisation rates dropped, which spend categories drive interchange, or which cardholders are drifting to a competitor.
Digital Wallet Analytics: Fix Broken Balance & Transaction Data in 2026
Digital wallet analytics breaks when transaction data isn't modelled correctly. Learn how to build a reliable, reconcilable analytics layer on top of your wallet data.
BNPL Analytics: Build Risk & Performance Intelligence in 2026
BNPL platforms generate complex, high-velocity data that most early-stage teams are not equipped to model. Here is how to build the analytics infrastructure that actually scales.
API Analytics for Fintech: Turn Your API Layer Into a BI Asset
Your APIs process every payment, every user action, every integration event — but most fintech teams never analyse that data. Here is how to fix that.
PSP Data Analytics: Build Intelligence Into Your Payment Stack
Most fintechs track whether payments succeed or fail — but few build analytics that reveal why. This guide shows how to unlock real intelligence from your PSP data layer.