Fintel AnalyticsNet Profit Per Order: Fix E-Commerce Margin Blind Spots
Most e-commerce teams know revenue per order but not what the order made after costs. Here is how to build net profit per order in SQL and keep it trustworthy.
Fintel Analytics blog
Data & AI Insights
Expert perspectives on data analytics, AI agents, internal tools, and business intelligence from the Fintel Analytics team.
69 of 207 posts
Partner Revenue Analytics for Fintech: Build Real Visibility
Fintech platforms with partner ecosystems rarely have clean visibility into how revenue is split, earned, and reconciled. Here is how to fix that with a proper data stack.
Spend Analytics for Finance Teams: Fix Your Data in 2026
Most finance teams have spend management tools — but still can't answer basic questions about where money is going. Here's why, and how to fix it.
FX Exposure Analytics for Fintech: Stop Flying Blind on Currency Risk
Most fintech startups have no real-time visibility into their FX exposure — only spreadsheets and gut feel. Here's how to fix that before it costs you.
Intraday Liquidity Analytics for Fintech: Build Real Visibility
Most fintech treasury teams are managing intraday liquidity from delayed reports and spreadsheets. Here is how to build the data stack that gives you real-time visibility — and why it matters more than ever in 2026.
Dispute Operations Analytics for Fintech: Build It Right in 2026
Most fintech dispute teams are drowning in volume with no analytics stack to manage it. Here is how to build one that actually works.
Loan Portfolio Analytics for Fintech Lenders: Build It Right in 2026
Most fintech lenders drown in loan data but lack a single trusted view of portfolio performance. Here's how to build the analytics stack that actually works.
Network Token Analytics: Fix Your Payment Performance Data
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.
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.
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.
Revenue-Based Financing Analytics: Build the Data Stack That Scales
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.
Neobank Analytics: Build the Data Stack That Scales in 2026
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.
Fintech Burn Rate Analytics: Build Real Visibility in 2026
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.
Crypto Exchange Analytics: Build the Data Stack That Scales
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.
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.
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.
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.
Merchant Portfolio Analytics: Build Risk & Revenue Intelligence
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.
Loyalty Programme Analytics: Build the Stack That Proves ROI
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.
Revenue Leakage Analytics: Fix Hidden Losses in 2026
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.
Embedded Finance Analytics: Build Intelligence Into Your Platform
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.
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.
Two-Sided Marketplace Analytics: Fix Broken Liquidity Metrics
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.
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.
Credit Risk Analytics for Fintech Lenders: Build It Right in 2026
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: 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.
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.
E-Commerce Growth Analytics: Build the Stack That Scales
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.
Investor Due Diligence Analytics: Build a Data Stack That Survives the Process
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.
Cohort Analysis for Startups: Why Your Retention Numbers Are Lying to You
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.
Unit Economics Analytics: Build Metrics Investors Trust in 2026
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.
Treasury Analytics for Fintech Startups: Build Real Visibility in 2026
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.
Cash Flow Forecasting Analytics: Fix Bad Numbers in 2026
Most cash flow forecasts are wrong — not because of bad assumptions, but because of broken data infrastructure. Here is how to fix it.
ESG Data Analytics: Turn Sustainability Reporting Into Competitive Advantage in 2026
ESG data analytics turns fragmented sustainability reporting into measurable business value. Discover the frameworks, tools, and strategies leading organisations use in 2026.
Manufacturing Analytics: Reduce Downtime & Boost Output 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: Optimise Ad Spend With Data 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: Optimise Operations & Cut Costs in 2026
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: Predict Revenue With Data 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: Maximise Margin 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: Reduce Costs & Improve CX 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: Reduce Churn & Grow MRR in 2026
Subscription analytics gives recurring revenue businesses the visibility to cut churn, grow MRR, and forecast with confidence. Here is how to build it properly.
Demand-Side Analytics: Smarter Procurement With Data in 2026
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 & After-Sales Analytics: Cut Costs 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.
Pricing Analytics: How Data Optimises Revenue 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.
A/B Testing Analytics: How to Make Smarter Experiments 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 for Business: Act on Data in 2026
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.
Graph Analytics for Business: Uncovering Hidden Connections 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: A 2026 Business Guide
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.
Text Analytics for Business: Unlocking Value from Unstructured Data 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: How Data Drives Better Product Decisions
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: Cutting Costs With Data 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.
Quantitative Analytics for Sports Performance in 2026
Sports performance analytics is reshaping how clubs, franchises, and commercial partners make decisions. Here's what business leaders need to know in 2026.
Behavioural Analytics: Understanding What Users Actually Do
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: Unlocking Richer Business Insights in 2026
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 for Business Forecasting 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.
Dark Data Strategy: Unlocking Hidden Business Value 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.
Knowledge Graph Analytics: Unlocking Connected Data 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: Unlocking Location Intelligence for Business in 2026
Geospatial data analytics is transforming how businesses make decisions in 2026. Discover how location intelligence gives organisations a measurable competitive edge.
IoT Analytics: Turning Sensor Data Into Business Value
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 and Workforce Planning: A 2026 Guide
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: How Data Transforms In-Store & Online Sales
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.
Predictive Analytics for Customer Retention: A 2026 Guide
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 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.
Data Governance, Quality and Compliance: A 2026 Guide
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.
Customer Analytics and Segmentation Strategies That Drive Growth
Learn how customer analytics and segmentation strategies help businesses uncover high-value audiences, reduce churn, and personalise at scale.
Data Analytics Agency vs In-House Team: What's Right for You?
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.
Data Analytics Trends for Businesses to Watch in 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 for Business
Financial data analytics and risk modelling are reshaping how businesses identify threats and seize opportunities. Learn how leading organisations are doing it.