Analytics · intelligence
Run on data.
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Dashboards your team will trust. KPIs everyone agrees on. Data refreshed before you ask for it. Built on open source you own and we maintain.
Metabase. Superset. dbt. Postgres. Yours forever.
A live preview
One chart. Four tiles. Live.
A SaaS-startup operating dashboard the morning after we ship. Revenue trend on top, KPI tiles with sparklines below. Sage = good, brass = needs attention.
Demo data · your dashboards run on your numbers · refreshed every 15 min
73%
Of business decisions made on gut feel
Gartner, 2024
60%
Of analyst time spent finding and cleaning data
IBM, 2024
5×
More likely to make decisions faster, with data
McKinsey, 2024
R47M
Average revenue uplift, data-driven SA companies
PwC SA, 2024
What we build
Six things every business should measure.
DASHBOARDS
Live Dashboards
Metabase or Superset, connected to your warehouse. Daily refresh, hourly refresh, real-time if you need it. Your team sees the same number.
WAREHOUSE
Data Warehousing
PostgreSQL warehouse modelled around how your business thinks. Sources unified, cleaned, version-controlled.
PIPELINES
ETL & Pipelines
Airbyte, dbt, Airflow. CRM, accounting, ops, marketing — piped to the warehouse, transformed into something useful.
DEFINITIONS
KPI Definitions
Six different definitions of 'active customer' across departments? We define each metric once. Everyone sees the same number.
REPORTING
Automated Reporting
Monthly board pack. Weekly ops dashboard. Daily alerts. All running themselves on a schedule. Tuesdays free up.
SELF-SERVE
Self-Serve Analytics
Your team writes their own queries with guard-rails. SQL training included. The ad-hoc requests stop piling up on one person.
Real wins
Before and after the warehouse.
Six KPI definitions, one source of truth
Before
Sales, marketing, and finance each had their own 'active customer' number. Reports disagreed by 18%. Every meeting started with a debate about the data.
After
Metric layer in dbt with definitions owned by each team-lead. One number, agreed in writing. Meetings start from the data.
P&L from 3 weeks late to next-day
Before
CFO got the monthly P&L pack on the 18th of the following month. By the time it landed, decisions had already been made on gut feel.
After
P&L runs nightly. Drill-downs by GL account, cost centre, project. CFO checks it with morning coffee on the 1st.
Marketing's weekly deck builds itself
Before
Manager spent every Monday morning copying numbers from Google Analytics, Meta, Mailchimp, the CRM into a PowerPoint. Half a day, every week.
After
Live dashboard pulling all four sources. Slides auto-generate from the dashboard as a Monday-morning email. Manager got half a day back.
The stack
What's under the dashboards.
How an engagement runs
Five stages, audit to live.
Audit
Map what you measure today and what you should be. We find the metrics nobody trusts, the reports nobody reads, the questions nobody can answer.
Model
Define every metric and entity once, agreed across teams. Locked in the metric layer so nobody has to reinvent 'monthly revenue' next quarter.
Pipe
Connect sources, build the warehouse, schedule the refreshes. Audit trail on every load so you know when the data last updated.
Visualise
Dashboards in Metabase or Superset. Tuned for the question the team is trying to answer.
Train
Your team learns the metric layer, writes their own queries with guard-rails. The on-call analyst stops being everyone's bottleneck.
Tell us what you measure.
We'll build the dashboard.
Free 30-minute call. We map the metrics, the sources, and what a real dashboard would look like for your team. Quote follows after.