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Your data from every system in one place, and numbers you can trust.
We bring your data together from the store, the accounting, the ERP and the spreadsheets into one warehouse, clean it and agree its definitions, then build on it the reports and dashboards your management needs. When it outgrows spreadsheets and a single database, we build its pipelines on Databricks and Spark.
Who it is for
Businesses that have the data and still cannot get one answer out of it.
Companies with data spread across many systems
Sales in one system, stock in another, accounting in a third, and nobody sees the whole picture.
Management whose numbers do not agree
Each department counts sales its own way, so the meeting ends with three figures for the same question.
Businesses that have outgrown Excel
Files that slow down and break, and reports the team spends hours preparing by hand every week.
Teams moving to a new system
Years of data moved from the old system to the new one in full, and checked before anyone relies on it.
What you get
One source for the numbers, and pipelines that run on schedule.
- Data integrationData moving between your systems, databases and files, through APIs or direct database connections.
- One data warehouseEvery system’s data in one place under shared definitions: a single source for the numbers.
- Big data processingPipelines on Databricks and Spark, for when the volume is more than one server can handle.
- Reports & dashboardsSales, stock and collections in front of management, refreshed on schedule.
- Data qualityChecks that catch the duplicate, the missing and the odd before they reach a report.
- Running and watchingWe run the pipelines and watch them, and we know when a load is late or fails.
How we work
The same four stages as every project, shaped for data.
- 1
Understand
Which questions the numbers must answer, where the data lives today, and who owns each source.
- 2
Plan
The data model and the definition of every figure, written down and agreed before we build: what counts as a sale, and when.
- 3
Build
One source at a time, its figures checked against the original system before we move to the next.
- 4
Host & support
We run the pipelines, watch them, and add sources as your business grows.
Questions we are asked
Our data is in Excel files and old systems. Can we still start?
Yes. We start from where the data is today: Excel files, databases, and systems that offer an API or can export files. We check each source at the start.
Do we need Databricks or a big data platform?
Not always. For many businesses a database such as PostgreSQL or SQL Server and a small warehouse are enough. We suggest Databricks and Spark when the volume of data justifies their cost.
Where is our data kept?
We agree that with you at the start: on your servers, on a cloud you choose, or on our hosting. We also agree with you who sees each report.
How do we know the numbers are right?
We check every figure against the original system before it is relied on, and add checks that run with every load and alert us to any difference.
Tell us the question your numbers cannot answer today.
Describe one report that costs your team hours every week; that is usually where to begin.