Case Study: Alcon achieves trusted self-service analytics with Cube Dev

Alcon Transitioning from Dashboards to Dialogue with Agentic Analytics

Alcon, a global leader in eye care products, needed a unified data modeling and access framework to address metric inconsistency, slow time-to-value, and the risks of using generative AI across complex, regulated healthcare data. Alcon worked with Cube Dev and its Cube Core semantic layer to create a more consistent and secure foundation for analytics, with support for LLM and AI use cases.

Cube Dev implemented a centralized semantic layer and Agentic Analytics platform that defined business logic, KPIs, and logical data models in one place while enforcing access control and reducing hallucination risk. The result was consistent KPI answers that matched Tableau dashboards, less need to build new dashboards, and safer self-service analytics that could answer questions beyond dashboard scope.

Alcon

Jun Huang

Global Head of Data Science