Retail / e-commerce
Owning the BI stack instead of renting it
A complete BI ecosystem the client owns outright, built instead of signing for an enterprise SaaS platform priced to grow with them.
Client
A mid-sized retail and e-commerce company
$200k+
saved annually, recurring
The challenge
What was in the way
The client was about to sign for an enterprise SaaS BI platform — rigid, expensive, and priced to grow with them.
They needed consolidated reporting across scattered sources. What they did not need was a permanent licence line and a vendor holding their analytics.
The solution
What we built
A complete BI ecosystem they own outright. A data engineering layer feeding a central warehouse, and a heavily customised open-source Superset instance on top.
The interface was reworked well past default — because the reason companies pay for commercial BI is usually the interface, and that is a solvable problem.
Key technologies
- Pipelines
- Python, Rivery, custom ingestion
- BI
- Apache Superset, customised
Impact & results
Over $200,000 saved annually
Against the SaaS alternative — recurring, not one-off.
One source of truth
For the executive team, replacing reconciled spreadsheets.
Owned, not rented
No per-seat pricing, no lock-in, no renewal negotiation.
Start here
Start with a problem, not a brief.
Tell us what is slow, what is manual, what is stalled, or what nobody understands any more. We will tell you honestly whether it is worth building.