Data engineering
Ingestion and transformation pipelines that run incrementally, carry tests, and tell you when a source has gone quiet.
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Data & Analytics
Data platforms where the numbers reconcile
Data engineering, warehouses and reporting — modelled so a figure means one thing, and handed to your analysts to own.
Overview
Data & Analytics
Most reporting problems are modelling problems wearing a dashboard. Two reports disagree because two teams defined the same metric differently, and the argument that follows costs more than the reports ever saved. We start with the decisions the data is meant to support, define each measure once, and build backwards from there.
The platform is built to be operated by your team, not by us. Pipelines have tests and freshness checks, every figure traces back to its source, and the model is explained to the people who will extend it.
What we build it with
Snowflake
Azure Data Factory
Power BI
dbt
PostgreSQL
Python
pandas
Databricks
Capabilities
What this covers
Warehouses and lakehouses
Dimensional models built for the questions being asked, on a platform sized to the organisation rather than to the brochure.
Reporting and dashboards
Power BI and equivalents, built around a decision someone has to make, with the definition of every measure written down.
Governance and quality
Ownership, lineage, freshness and quality checks that fail loudly, so a broken pipeline is not discovered in a board pack.
Typical engagements
When organisations call us about this
Two reports, two answers
The same question producing different numbers depending on who ran it, and no agreed definition to settle the argument.
Analysts preparing data instead of using it
Skilled people spending most of the week assembling a spreadsheet that a pipeline should have produced overnight.
A month-end that dominates the month
Reporting that has become the slowest, most manual process in the business, and the least tolerant of anybody being on leave.
Our Process
A staged engagement you can pause at any point
Each stage concludes with a defined deliverable that you retain, so there is no obligation to commission the next one.
1
Discovery
A complimentary 45-minute conversation to understand the requirement and establish whether we are the right fit.
2
Blueprint
One to two weeks, fixed fee. Architecture, scope and a costed delivery plan, which remains yours whether or not we proceed.
3
Pilot
A defined initial increment, deployed to your environment so the engagement can be assessed on delivered software.
4
Delivery
Two-week sprints with live demonstrations and continuous deployment to your environment.
5
Support or handover
We continue to operate the platform, or we train your team and complete a documented handover.
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Legacy modernisation · Cloud migration
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The full picture, on one page
Talk to us about data & analytics
Describe what you are trying to build or improve. We will respond with an honest assessment of fit within one working day.