BI Dashboards & Analytics for Education & EdTech

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 education & edtech, student data protection and academic integrity constrain what may be automated at all. 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 administrative query handling, usually integrated against assessment platforms. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.