Build something new
Data and analytics
Pipelines, warehousing and reporting tied to the questions the business actually asks. We start from the decision someone needs to make, then work back to the data.
When to bring us in
If more than one of these is true, the engagement usually pays for itself in the first quarter.
- 01
Two departments report the same number differently and both are defensible.
- 02
A monthly report takes three days of manual assembly.
- 03
Dashboards exist and nobody opens them.
- 04
A decision is being made on data that was last validated a year ago.
What the engagement includes
Question mapping
The decisions the business needs to make, and the metrics that would actually inform them.
Source audit
Where the data lives, how reliable it is and what it is missing.
Pipelines
Ingestion and transformation, orchestrated and monitored rather than scheduled and hoped for.
Warehouse model
Definitions agreed and documented, so one metric means one thing.
Reporting
Dashboards built for the person who has to act, not for the person who requested them.
Quality checks
Tests on the data itself, with alerts when a source drifts.
Related practices
Custom software development
Platforms, internal tools and integrations, scoped in writing before any code is written.
IT consulting and strategy
Architecture reviews, build versus buy decisions and roadmaps for teams weighing options.
Cloud and DevOps
Migrations, infrastructure as code and release pipelines that stop being an event.
Speak to an engineer, not a salesperson.
Book a 45 minute technical assessment in your timezone, or send the details and we reply within one business day.