Fintel AnalyticsProduct 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.
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
Embedded Analytics for SaaS Products: Build vs. Buy in 2026
Build or buy embedded analytics? This practitioner guide covers the real trade-offs, architecture decisions, and tooling choices for SaaS product teams in 2026.
API Product Analytics: Fix Metering Blind Spots & Revenue Leakage
Most SaaS and platform businesses have no structured analytics layer between their API logs and their billing systems — and that gap is silently costing them revenue. Here is how to fix it.
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.
Multi-Tenant SaaS Analytics: Build It Right in 2026
Multi-tenant SaaS analytics is one of the most under-engineered parts of a B2B product. Get the architecture wrong and you risk data leaks, broken dashboards, and a rebuild at scale.
BaaS Analytics: Build the Data Stack Behind Embedded Banking
Most BaaS-powered products ship fast but build no analytics layer. Here's how to fix that — and what it costs you if you don't.
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.
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.
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.
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.
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.
Hardcoded Table Names in dbt BigQuery: Find the Lineage Gaps
Hardcoded table names in dbt BigQuery models silently break your DAG, making downstream failures invisible until something stops working in production.
dbt Lineage Blind Spots: Why Downstream Models Break Silently
Undocumented dbt dependencies are silently breaking production dashboards at growth-stage companies. Here is how to audit your DAG and fix it before it costs you.