Stage 1 · Minimum data
The smallest extract that answers it.
Our services, in detail
Four services, starting with what the data actually contains.
Program 01 · Before anything is built
Data quality audits
We profile the data before designing anything, because the answer to most reporting problems is that two systems disagree or a field has been used three different ways over five years. Finding that first costs a fortnight and saves rebuilding a dashboard nobody trusts.
Stage 2 · Profile
Duplicates, gaps, coding drift.
Stage 3 · Report
What is reliable and what is not.
Stage 4 · Honest scope
Including fixing records first.
Stage 1 · The decisions
What people actually act on.
Stage 2 · Definitions
Written and agreed, measure by measure.
Stage 3 · Build
Small, then extended on evidence.
Stage 4 · Review
After a month of real use.
Program 02 · Built around a decision
Reporting and dashboards
A dashboard with forty tiles gets ignored within a month. We start from the decisions somebody actually makes weekly, agree a written definition for every measure, and build the smallest thing that answers them — because disagreement about what a number means is what kills reporting, not the chart type.
Program 03 · Same answer every time
Pipelines and warehousing
Manual extracts produce a different total depending on who ran them and when. Automating that removes the variation, and the work is mostly in the error handling — what happens when a source is late, a field changes type, or a load half-completes. Silent failures are worse than loud ones.
Stage 1 · Sources
What feeds what, documented.
Stage 2 · Failure cases
Designed first, not patched later.
Stage 3 · Build
With logging you can actually read.
Stage 4 · Alerting
Loud failures, not silent ones.
Stage 1 · Documented
So another team could pick it up.
Stage 2 · Training
On the parts they will change.
Stage 3 · Definitions kept
A single list, maintained.
Stage 4 · Clean exit
Whenever you want it.
Program 04 · No dependency created
Handover and training
Models, queries, configuration and documentation are yours, and we would rather train your team than become a permanent dependency. A good engagement ends with somebody internal able to add a measure without calling us.
Reporting nobody trusts?
A free first call on what the numbers are actually meant to decide.