Session: From Chaos to Clarity: The Journey to Building a Money-Saving BI Tool
summary
Boombit builds an internal BI platform that pulls 50+ connectors, recalculates net revenue to match bank deposits and cuts query costs by building its own engine on BigQuery. Backend uses Python FastAPI with Celery for orchestration, frontend is React + TypeScript and the system auto-deploys to Google Cloud Run. Revenue discrepancy falls to ~1–2%, data arrives by 08:00 UTC, dashboards let users change bids/budgets in-place, and the stack sends ~300 targeted Slack alerts daily while offering per-client isolated instances.
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chapters (13)
- 0:00BI tool journey
- 1:06Revenue data discrepancies
- 3:13Internal BI requirements
- 4:59First-gen BI dashboard
- 6:24Second-gen with filters
- 8:08Third-gen with dark mode
- 9:11Current BI generation
- 11:21Mobile BI and store checks
- 12:28Slack alerts for performance
- 14:12Technical stack and backend
- 15:40BI impact on efficiency
- 17:25Transparency for partners
- 18:35Q&A
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