Several Dashboards. One Source of Truth.

A client was pulling marketing and commerce data from multiple disconnected platforms: commerce, web analytics, ad performance, email engagement, transactional email. Each platform had its own dashboard, its own metrics definitions, and its own version of the truth.

Asking a simple question like 'What was our cost per acquisition last month?' required logging into several tools, exporting CSVs, and reconciling numbers that never quite matched. The marketing team was making decisions on vibes, not data.

I built an enterprise analytics platform as a Turbo monorepo with separate workspaces for ingestion, warehouse transformations, API, web UI, and tests. Each layer has a single responsibility and can be developed, tested, and deployed independently.

The ingestion layer connects to each data source via its native API. Real-time webhooks deliver order data within seconds. Nightly batch jobs pull the rest. Everything lands in a PostgreSQL warehouse where dBT models transform raw API responses into clean, standardized dimensions and facts.

The web UI serves a handful of production dashboards covering executive KPIs, product analytics, customer segmentation, marketing funnel, geographic performance, and a live monitor. Smart caching at the API layer keeps external API calls low while keeping data fresh.

A unified API serves every dashboard across every data source. Period-over-period comparisons built in. Customer segmentation computed automatically from purchase history. CSV export on every view for the people who still want their spreadsheets.

This platform replaced multiple browser tabs, monthly CSV exports, and hours of analyst time. Every question the marketing team used to ask now has a single URL where the answer lives, updated within a minute of the underlying event.