Data services.
From spreadsheets that disagree to one set of numbers.
From scattered data to numbers you can use.
Three services. Take one, or take them in order.
Data preparation
- Problem
- Your data sits in spreadsheets, exports and systems that disagree, so every report starts with cleaning by hand.
- What we do
- We find your sources, fix duplicates, gaps and mismatched formats, and set rules that keep new data clean.
- You receive
- Clean, documented datasets and the written cleaning rules.
Data modelling and pipelines
- Problem
- Each team pulls numbers its own way, so the same question gets different answers.
- What we do
- We design one model of your data with shared definitions, and build pipelines that load it on a schedule.
- You receive
- A documented data model, automated pipelines and a written definition for each metric.
Analysis and dashboards
- Problem
- Reports are slow to produce and hard to trust, so decisions wait.
- What we do
- We start from the decisions your team makes, then build the analysis and dashboards that answer them from the model.
- You receive
- Dashboards on agreed metrics, a short guide to each, and a walkthrough with the people who use them.
Once the data is ready, AI can use it.
Clean, well-modelled data is what makes AI work in practice. For clients whose data is in order, we also build automations, workflows and integrations that connect models to the systems your team already uses.
Bring the report nobody trusts.
