Fintel AnalyticsTreasury 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.
Fintel Analytics blog
Data & AI Insights
Expert perspectives on data analytics, AI agents, internal tools, and business intelligence from the Fintel Analytics team.
13 of 206 posts
Internal Data Marketplace for Startups: Build It Right in 2026
An internal data marketplace stops teams rebuilding the same pipelines and fighting over different numbers. Here is how to build one that actually works at startup scale.
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.
dbt Testing Strategy for Startups: Stop Shipping Bad Data
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.
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.
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.
DataOps for Startups: Build Reliable Data Pipelines in 2026
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.
dbt Project Governance for Startups: Stop Model Sprawl
Model sprawl is the silent killer of growing dbt projects. Learn how to govern your dbt project before undocumented models, broken DAGs, and degraded test coverage cost you.
Alternative Data Analytics for Fintech: Build the Edge in 2026
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.
When Does a Startup Need a Data Warehouse? A 2026 Guide
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.
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.
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.
ML Model Monitoring for Startups: Stop Your Models Degrading in Production
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.