Case study
Helium Mobile case study
[CASE STUDY SHORT INTRO]
Helium Mobile's lean data team was a bottleneck — every business question turned into a dashboard ticket. Apelogic connected Claude directly to their Trino data warehouse and built a semantic context layer, so employees get answers in plain English while the data team stays in control of business definitions.
"Apelogic gave our agents safe, governed access to the data warehouse. Employees stopped waiting days for answers."
~60%
drop in dashboard data-ops workload
< 2 months
from kickoff to handoff to the Helium Mobile team
Self-improving
semantic context layer, governed by the data team
Before
Dashboard-request bottleneck
- Days-long backlog of dashboard requests
- Data ops translates every business question into SQL
- Superset charts built one ticket at a time
After
AI-powered data self-service
- Employees ask Claude questions in plain English
- Claude generates SQL on Trino with approved business context
- Useful queries become repeatable Superset charts
- Data team owns the semantic context layer
Challenge
[CASE STUDY CHALLENGE PLACEHOLDER]
Approach
[CASE STUDY APPROACH PLACEHOLDER]
Systems involved
[CASE STUDY SYSTEMS PLACEHOLDER]
Outcome
[CASE STUDY OUTCOME PLACEHOLDER]