Expert perspectives on data analytics, AI strategy, and business intelligence from the Fintel Analytics team.
Network tokens promise higher auth rates and lower fraud — but most fintechs can't measure whether they're delivering. Here's how to build the analytics layer that proves it.
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.
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.
Alternative data analytics gives fintech startups a real intelligence edge — but only if your data pipeline can actually ingest, clean, and model it at speed. Here's how to build it right.
Revenue-based financing is growing fast — but most RBF platforms are flying blind on portfolio risk, repayment performance, and unit economics. Here is how to fix that.
Most neobanks scale their product long before they scale their data. Here's how to build the analytics stack that actually supports growth, profitability, and investor scrutiny.
Most acquirers are flying blind on the metrics that matter most. Here is how to build the internal analytics stack that turns transaction data into competitive edge.
Most fintechs track burn rate in a spreadsheet — until it breaks. Here's how to build a real analytics stack that gives finance and leadership actual visibility.
Most crypto exchanges generate enormous volumes of data but operate with surprisingly immature internal analytics. Here's how to fix that — from fee revenue modelling to liquidity dashboards.
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.
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.
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.
Most fintechs have a KYC vendor. Very few have a compliance analytics layer behind it. Here is how to build one that actually works in 2026.
Most payment facilitators are sitting on a goldmine of merchant data and doing almost nothing with it. Here is how to fix that — and what it is worth when you do.
Most loyalty programmes generate plenty of data and almost no usable insight. Here is how to build the analytics stack that actually proves ROI and drives decisions.
SaaS and fintech companies silently lose 3–5% of ARR to revenue leakage every year. Here's how to build the analytics infrastructure that finds and fixes it.
Embedding financial products into your platform is one thing. Measuring whether they're working — and why — is another problem entirely. Here's how to build the analytics stack your embedded finance operation actually needs.
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.
Most marketplace founders are measuring the wrong things. Here is how to build analytics that actually reveal whether your platform is healthy — or quietly failing.
Open banking API feeds generate enormous volumes of raw transaction data — but most fintech teams lack the analytics layer to turn it into decisions. Here's how to fix that.
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 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.
Most fintech lenders don't have a modelling problem — they have a data infrastructure problem. Here's how to build the analytics stack that credit risk decisions actually depend on.
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.
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.
Multi-currency analytics is one of the most underengineered problems in fintech data stacks. This guide shows how to fix it before it costs you real money.
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.
Most startups don't find out their data is broken until a stakeholder catches it in a board deck. A proper dbt testing strategy changes that — here's how to build one.
Training-serving skew is the silent killer of production ML. Learn how to build feature pipelines that actually hold up — and stop your models degrading the moment they ship.
ML models don't break loudly — they decay quietly, and by the time you notice, the damage is done. Here's how to build production monitoring that actually works.
Most scaling e-commerce brands track ROAS religiously but can't explain why profit shrinks as revenue grows. Here's how to build the analytics stack that fixes that.
When investors open your data room, what they find — or fail to find — can make or break your round. Here is how to build an analytics stack that holds up under scrutiny.
Aggregate retention metrics can mask serious churn problems at fast-growing companies. Here's how to build cohort analytics that surface the real story — and what to do when you don't like what you find.
Most SaaS startups can name their LTV:CAC ratio. Far fewer can prove it. This guide covers how to build the data infrastructure behind unit economics that investors actually trust.
Manual regulatory reporting is costing fintech teams time, money, and regulatory goodwill. Here is how to build analytics infrastructure that makes compliance a data engineering problem — and solves it permanently.
Most fintech startups fly blind on treasury until it costs them. Learn how to build real liquidity visibility with data engineering and BI — before the gap becomes a crisis.
Knowing when to graduate from spreadsheets to a data warehouse is one of the most consequential infrastructure calls a founder makes. Here is the framework we use.
Half of finance teams still take six or more days to close the books. Financial close analytics fixes the broken data pipelines causing that delay — here is how to build it.
Most B2B SaaS companies reach Series A with their core growth metrics — ARR, NRR, churn — still living in spreadsheets. Here is how to fix that before it costs you.
Most startups don't realise their data pipeline is broken until a board meeting goes sideways. Here's how to build reliable data infrastructure from day one — before it costs you.
If finance and ops see different revenue figures, you don't have a dashboard problem — you have a semantic layer problem. Here's how to fix it.
Slow dbt models are costing you more than just time — they inflate cloud bills and delay decisions. Here's how to diagnose and fix the real causes.
Build or buy embedded analytics? This practitioner guide covers the real trade-offs, architecture decisions, and tooling choices for SaaS product teams in 2026.
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.
Most cash flow forecasts are wrong — not because of bad assumptions, but because of broken data infrastructure. Here is how to fix it.
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.
ESG data analytics turns fragmented sustainability reporting into measurable business value. Discover the frameworks, tools, and strategies leading organisations use in 2026.
Manufacturing analytics is transforming how factories cut unplanned downtime, improve yield, and drive operational efficiency. Here is how leading manufacturers are doing it in 2026.
Media mix modelling helps businesses measure the true ROI of every advertising channel and optimise budget allocation with statistical rigour — here's how it works in practice.
Field service analytics is transforming how businesses manage engineers, reduce downtime, and cut operational costs. Discover how data-driven service operations deliver measurable results in 2026.
Sales forecasting analytics transforms gut-feel revenue guesses into data-driven predictions. Learn the frameworks, models, and tools that drive forecast accuracy in 2026.
Net revenue management analytics gives businesses the data foundation to protect margins, optimise trade spend, and make smarter pricing decisions. Here is how leading organisations are building this capability in 2026.
Contact centre analytics turns millions of daily interactions into a competitive advantage — reducing costs, improving resolution rates, and transforming customer experience at scale.
Subscription analytics gives recurring revenue businesses the visibility to cut churn, grow MRR, and forecast with confidence. Here is how to build it properly.
Procurement analytics transforms raw purchasing data into measurable cost savings and supplier intelligence. Discover the frameworks, tools, and real-world outcomes driving smarter procurement in 2026.
Warranty and after-sales analytics helps manufacturers and retailers cut claims costs, predict product failures early, and turn service data into a competitive advantage.
Churn analytics helps businesses identify at-risk customers before they leave — and act in time to keep them. Here is how leading organisations are doing it in 2026.
Pricing analytics uses data science and machine learning to set prices that maximise revenue without sacrificing volume. This guide shows business leaders exactly how to implement it.
Revenue operations analytics unifies your sales, marketing, and customer success data into a single source of truth — here's how leading businesses are doing it in 2026.
A/B testing is only as powerful as the analytics behind it. This guide shows business leaders and data teams how to run experiments that actually drive decisions.
Prescriptive analytics doesn't just show you what happened — it tells you what to do about it. Here's how forward-thinking businesses are acting on data in 2026.
Conversational analytics is transforming how business teams access data insights — no SQL required. Here's what leaders need to know in 2026.
Competitive intelligence analytics transforms raw market data into strategic advantage. Discover how leading businesses use it to outmanoeuvre rivals in 2026.
Most analytics tells you what happened. Causal AI tells you why — and what to do next. Here's how forward-thinking businesses are using it in 2026.
Real-time personalisation engines are reshaping how businesses engage customers. Discover the data architecture, use cases, and ROI behind building one in 2026.
Augmented analytics is redefining how organisations surface insights. Learn how AI-powered BI tools are helping business leaders make faster, smarter decisions in 2026.
Graph analytics moves beyond rows and columns to reveal the hidden relationships driving your business. Here's how leading organisations are using it in 2026.
Customer lifetime value modelling helps businesses identify their most profitable customers, reduce churn, and allocate budgets more intelligently. Here's how it works in 2026.
Most business data lives in emails, contracts, and reviews — unread and unused. Learn how text analytics unlocks that hidden value in 2026.
Product analytics turns user behaviour data into smarter product decisions. Discover how leading teams use it to reduce churn, prioritise features, and grow revenue in 2026.
Energy analytics is helping organisations cut utility bills, meet net-zero targets, and turn consumption data into competitive advantage. Here's how it works in practice.
Sports performance analytics is reshaping how clubs, franchises, and commercial partners make decisions. Here's what business leaders need to know in 2026.
Data storytelling bridges the gap between raw analytics and real business decisions. Discover the frameworks, techniques, and tools that make insights impossible to ignore.
Synthetic data is transforming how organisations train AI models — removing privacy barriers, reducing costs, and accelerating development timelines. Here's what business leaders need to know in 2026.
Edge analytics moves data processing closer to where data is generated — cutting latency, reducing costs, and enabling faster decisions at scale in 2026.
Behavioural analytics goes beyond surveys and dashboards to reveal how users actually interact with your product, website, or service — and why that distinction is worth millions.
Multimodal data analytics is reshaping how businesses extract insight from text, images, audio, and more. Here is what leaders need to know in 2026.
Time series analysis is one of the most powerful — and underused — tools in business forecasting. Here's how forward-thinking organisations are using it in 2026.
Data lakehouse architecture is reshaping how organisations store, govern, and analyse data. Learn why leading enterprises are making the switch in 2026.
Most organisations use less than half their data. A smart dark data strategy can unlock hidden revenue, reduce risk, and sharpen competitive intelligence.
Most ML models never make it to production. Discover the MLOps best practices that close the gap between data science and real business value in 2026.
Knowledge graph analytics is reshaping how enterprises understand connected data. Discover how leading organisations are using graph intelligence to unlock insights traditional databases simply cannot surface.
Geospatial data analytics is transforming how businesses make decisions in 2026. Discover how location intelligence gives organisations a measurable competitive edge.
Billions of connected devices are generating data 24/7 — but most organisations are capturing less than 1% of its value. Here's how to close that gap.
HR analytics is transforming how organisations plan, hire, and retain talent. Learn how data-driven workforce planning gives businesses a measurable edge in 2026.
Retail analytics is reshaping how stores and ecommerce brands compete. Discover the strategies, tools, and real-world wins that separate data-driven retailers from the rest.
Data observability is the silent backbone of trustworthy analytics. Discover how leading organisations are using it to eliminate costly data failures in 2026.
Real-time data pipelines are transforming how businesses react to change. Learn how streaming analytics works and why it matters in 2026.
AI-powered decision making is reshaping how enterprises operate. Learn how leading organisations are embedding intelligence into their core processes.
Most businesses collect more data than ever — yet struggle to act on it. Here's how to bridge the gap between raw data and real business decisions.
Discover how predictive analytics for customer retention is helping global businesses cut churn, increase loyalty, and drive measurable revenue growth in 2026.
Supply chain analytics and demand forecasting are now critical competitive advantages. Learn how leading businesses use data to reduce waste, cut costs, and stay resilient.
Natural language processing is reshaping how businesses query, interpret, and act on data. Here's what BI leaders need to know in 2026.
Data governance, quality and compliance are no longer optional. This guide breaks down practical frameworks and real-world strategies for business leaders and data teams in 2026.
Ethical AI and responsible data use are now boardroom priorities. Learn how leading organisations are building trust, avoiding risk, and gaining competitive edge.
Most businesses collect data. Far fewer actually use it. Here's how to build a data-driven culture that makes insight a habit, not an afterthought.
Machine learning no longer requires a team of data scientists. Discover how non-technical teams can implement ML successfully and drive real business outcomes.
Fraud costs businesses billions every year. Discover how anomaly detection and data analytics are transforming fraud prevention strategies in 2026.
Most businesses are drowning in data but starving for insight. Discover how to close that gap with a practical, proven approach to data analytics.
Cloud data warehouse bills spiralling out of control? This practical guide covers the strategies, tools, and decisions that help businesses cut costs without sacrificing performance.
Agentic AI workflows are redefining what automation can achieve. Learn how forward-thinking businesses are deploying autonomous agents to drive real operational results.
AI-powered decision making in enterprise is no longer a future ambition — it is reshaping how organisations compete, operate, and grow in 2026.
Learn how customer analytics and segmentation strategies help businesses uncover high-value audiences, reduce churn, and personalise at scale.
Data mesh is reshaping how large organisations manage and scale their data. Learn the core principles, real-world benefits, and how to get started in 2026.
Should you build an in-house data team or work with a specialist analytics agency? We break down the real costs, trade-offs, and decision factors for 2026.
From AI-powered forecasting to real-time decision engines, discover the data analytics trends reshaping how businesses compete and grow in 2026.
Financial data analytics and risk modelling are reshaping how businesses identify threats and seize opportunities. Learn how leading organisations are doing it.
Real-time data pipelines are reshaping how businesses make decisions. Learn how streaming analytics works, where it delivers value, and how to get started.
