# Case studies

> How real teams run analytics on Supaboard. 4 studies.

HTML version: https://supaboard.ai/case-study

- [How Objection.ai runs a no-data-analyst company with Supaboard](https://supaboard.ai/case-study/objection.ai) — Objection.ai (Legal tech / Dispute resolution), 100% self-serve analytics. An AI tribunal unified eleven systems and gave marketing and product self-serve analytics — without hiring a single analyst.
- [How Jindal Healthcare cut analytics costs by 90% with Supaboard](https://supaboard.ai/case-study/jindal-healthcare) — Jindal Healthcare (Healthcare / RCM), 90% lower analytics costs. An RCM provider unified claims, payer and denial data across every client, and moved analysis from four hours to two minutes.
- [How Gabriella.pl built one source of truth for marketing with Supaboard](https://supaboard.ai/case-study/gabriella.pl) — Gabriella.pl (E-commerce / Performance marketing), 4 platforms. One source of truth.. A performance-led ecommerce brand unified four ad platforms and stopped arguing about which one's numbers to believe.
- [How Legend EHR gave every clinic manager their own analyst with Supaboard](https://supaboard.ai/case-study/legend-ehr) — Legend EHR (Healthcare software), Analyst for every team. A healthcare software provider gave every clinic and store manager a self-serve analyst scoped to their own location.

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