Data & Analytics

Your Data Already Knows. Nobody Can Ask It.

Pipelines, warehouses, and dashboards that turn scattered exports and gut-feel meetings into one queryable source of truth — with ML-ready foundations when you're ready for that step.

From Raw Events to Answered Questions

Every analytics stack is these four stages — the difference is whether they're engineered or improvised.

1

Ingest

Connectors pull from your apps, databases, and third-party tools on schedule — no more CSV exports as a business process.

2

Store

A warehouse structured for questions, not just storage — with history kept, so trends exist beyond last month.

3

Transform

Version-controlled models turn raw tables into business definitions everyone agrees on — one revenue number, finally.

4

Serve

Dashboards for humans, APIs for systems, clean features for models — the same truth, consumed three ways.

ML-Ready When You Are

Data Services, End to End

Take one piece or the whole path — each stands alone, all fit together.

Data Pipelines & Integration

Scheduled, monitored pipelines from your operational systems into the warehouse — with alerting when a source breaks, before the Monday report does.

Warehousing & Modeling

PostgreSQL, ClickHouse, or cloud-warehouse builds with version-controlled transformation layers — business logic in code review, not in someone's head.

BI & Dashboards

Metabase and Grafana dashboards answering the questions your team actually repeats — self-service after handover, not vendor-locked.

ML Foundations

Clean, documented, historically consistent data — the unglamorous 80% of every machine-learning project, done before the model conversation starts.

Every Company Has a Spreadsheet Named final_v3_REAL

Numbers assembled by hand every Monday, three versions of revenue depending on who you ask, and a dashboard tool someone bought that nobody opens. The fix isn't more tools — it's one pipeline, one warehouse, one definition of true.

Metrics Become Code

Revenue is defined once, reviewed like code, and every dashboard inherits it.

History Stops Vanishing

Snapshots and slowly-changing dimensions mean last year is still queryable next year.

Broken Sources Announce Themselves

Pipeline monitoring alerts on missing data before executives present it.

Your Team Can Drive It

Built on open tools, documented, handed over — no analytics hostage situation.

1

Source of Truth

0

Monday-Morning CSV Rituals

Versioned

Every Metric Definition

Show Us Your Data Chaos

List your main systems and the questions nobody can answer today. A data engineer replies within 24 hours with a first architecture sketch.

Data & Analytics FAQs

Asked before every data project worth doing.