Case Study: fal scales analytics for 80 people with Lightdash

Fal answers 85% of data requests in 24 hours with Lightdash

fal, a generative media platform, faced a significant data challenge when its single data scientist, Kevin Otte, had to support 80 stakeholders across finance, sales, and product. Their existing notebook-style workflow was insufficient for self-service business intelligence, creating a major bottleneck as the company rapidly scaled. They turned to the vendor Lightdash for a solution.

By implementing Lightdash's Agentic BI workflow, fal automated the creation of dashboards and charts. AI agents now handle the majority of data requests, allowing Kevin to review and approve work instead of building it from scratch. This solution from Lightdash enabled fal's one-person data team to answer 85% of requests within 24 hours, reducing dashboard creation from a full day to about an hour and freeing up senior resources for higher-leverage strategic work.

Fal