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260 mData and BIOngoing

AI Dashboards & Initiatives

Org wide AI spend and usage pulled from every provider into one warehouse, plus the product dashboards that make each AI product readable.

7
providers ingested
C suite
audience

Seven providers, one place to look. I built the ingestion for OpenAI, Anthropic, Azure, AWS, Cursor and the rest into PostgreSQL, then surfaced it in Metabase so the C suite and FinOps could see AI spend without spreadsheet archaeology. The same muscle powers the product side: GLNow and GL Voice dashboards that turn telemetry into decisions.

Detail

  • Built for the CTO and FinOps audiences.
  • Shipped a v1 demo without waiting on a full business unit mapping.
  • GL Voice: leaner Metabase loads, less Snowflake spend, reliable refresh.
  • GLNow: aggregated facts from production instances into a BI store.

AI spend by provider

OpenAIAnthropicAzureAWSCursorDeepLElevenLabs

My role

BI engineerData analystNumbers person

Built with

PostgreSQLMetabasePythonETLSnowflake