BI Dashboards & Analytics for E-commerce

Two reports disagreeing about revenue destroys confidence in the whole platform. A semantic layer with agreed definitions is what prevents that, and it is a governance decision as much as a technical one.

In e-commerce, every change must be justified by a controlled experiment against revenue. That single fact reshapes how bi dashboards & analytics has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is return-reason analysis, usually integrated against CRM. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.