Fintel Analytics blog

Data & AI Insights

Expert perspectives on data analytics, AI agents, internal tools, and business intelligence from the Fintel Analytics team.

11 of 206 posts

Data Engineering

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.

Data WarehouseStartup AnalyticsData Stack
Data Engineering

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.

DataOpsData PipelinesData Engineering
Data Analytics

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.

Fraud AnalyticsFintechPayments
Data Engineering

Regulatory Reporting Analytics for Fintech: Build It Right in 2026

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.

Regulatory ReportingFintech AnalyticsCompliance Data
Data Analytics

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.

Revenue LeakageSaaS AnalyticsFintech