Work Area
Data and Analytics Systems
We build data systems that collect information from your tools, check it, store it in one place, and show it clearly. Managers get figures they can trust, because every number on a dashboard can be traced back to where it came from.
- 1,200+ clients helped
- Building since 2010
- 15 services, one team
- 50+ technologies
At a glance
What we build
We build data and analytics systems that gather information from your tools, clean and store it in one place, and present it as reports and dashboards.
Problems we solve
Numbers live in many tools, reports are rebuilt by hand each month, and nobody is sure which figure is right.
Who we serve
Managers who need reliable figures, and teams that spend days assembling reports from several sources.
How to choose
Decide the few questions the business must answer, then build only the data pipeline and views that answer them.
In practice
One trusted version of the numbers
We gather information from your tools, clean it, store it together, and present it so people can answer their own questions. The goal is one agreed version of each figure.
Without it, each person builds their own spreadsheet, and meetings begin with arguments about whose numbers are right. With it, the discussion moves to what to do.
Dashboards are the visible part. The harder and more valuable work is agreeing what each measure means, and checking that the data is complete and correct.
From your tools to better decisions
Layers from top to bottom. Decisions; Reports and dashboards; Clean, shared data; Sources.
- DecisionsWhat people do because of what they see.
- Reports and dashboardsClear views of the figures that matter.
- Clean, shared dataOne agreed version of each fact.
- SourcesYour store, accounts, customer records, and files.
Often built with
The pipeline
How information reaches a dashboard
Data passes through a small number of stages, each with a clear job.
How information reaches a dashboard
A sequence of 5 steps. Collect: Pull information from your tools on a schedule.; Clean and check: Fix formats, remove duplicates, flag gaps.; Store together: Keep it in one structured place.; Calculate: Work out measures such as sales per week.; Present: Show clear charts, tables, and alerts..
- CollectPull information from your tools on a schedule.
- Clean and checkFix formats, remove duplicates, flag gaps.
- Store togetherKeep it in one structured place.
- CalculateWork out measures such as sales per week.
- PresentShow clear charts, tables, and alerts.
What it looks like
A report built to answer one question
A reporting system is judged by how fast a manager gets an answer.
What we build
Views for different people
Leaders
- A few headline figures and trends.
- Alerts when something moves unexpectedly.
Managers
- Workload, targets, and exceptions.
- Drill-down to the detail behind a figure.
Analysts
- Clean tables for their own questions.
- Definitions of every measure.
Everyone
- Plain labels, and notes on when data was updated.
Common sources
Where the data often comes from
| Source | What it provides | Watch for |
|---|---|---|
| Online store | Orders, products, and customers. | Refunds and canceled orders. |
| Accounting | Invoices, payments, and costs. | Different dates for the same event. |
| Customer records | Leads, deals, and activity. | Duplicate customers and missing fields. |
| Website and marketing | Visits and campaign results. | Different counting rules between tools. |
A typical example
A two-day report ready by morning
A typical case is a company whose monthly report takes two days to prepare. Someone exports sales, accounts, and inquiry lists, combines them, and fixes mismatches by hand.
A data system could collect each source overnight, check it, and update a dashboard by morning. The two days could go to reading the figures and acting on them.
Tell us the questions you want answered
List the three questions you most want your data to answer. We will show what is needed to answer them reliably.