Case Study: Alan Scales Analytics and Data Access with Dust

How Alan Scaled Analytics with Dust

Alan, a €4 billion digital health insurer, faced the challenge of enabling its hundreds of employees to access data insights without overloading its data specialists. The company's complex database and varying levels of SQL expertise among staff created bottlenecks, with senior data team members spending excessive time on basic support. To democratize data access while maintaining quality, they partnered with Dust to implement a solution.

Dust implemented an intelligent AI agent that integrates with Alan's Snowflake database and Metabase tool. This solution provides three modes of operation: discovering existing dashboards, generating optimized SQL queries, and interactively refining requests. The results were transformative, cutting query development time from hours to minutes, significantly reducing the data support burden, and enabling DIY data investigation. Adoption is widespread, with one-third of the entire Alan workforce now using the Dust agent.

Alan

Alix Vermeulen

Data Team