Fintel Analyticsdbt 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.
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
ML Feature Pipelines for Startups: Fix Training-Serving Skew in 2026
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.
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.
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.
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.
Holistics vs Looker for Startups: Which BI Tool Should You Pick?
Choosing between Holistics and Looker is a pricing, team-skills and stack decision. Here is a practitioner framework and a two-week bake-off to settle it.
Looker Studio Limitations for Startups: Signs to Move On
Looker Studio is a great first dashboard tool and a poor foundation for a finance-grade metrics layer. Here is how to tell when you have outgrown it, and what to do next.
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.
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.
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.
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.
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.
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.