Case Study: Aircall achieves company-wide data democratization and saves nearly a week’s work per month with Sisense for Cloud Data Teams

Aircall Performs Multi-Team Data Exploration

Aircall, a cloud-based phone system operating in 30+ countries, needed to make data-driven decisions across sales, marketing, product, engineering, customer success and the executive team as it scaled. With a small data team, Aircall wanted to democratize analytics so business users could explore data without turning analysts into “SQL monkeys.”

Aircall adopted Sisense for Cloud Data Teams to unify data from sources like Segment and Redshift and provide both a no-code Data Discovery interface and SQL access for advanced users. The platform enabled self-serve exploration, informed product decisions (e.g., mobile UI filters), and saved the data team nearly a week of work per month, becoming the company’s primary analytics tool and supporting future growth with Python integration for advanced analysis.

Aircall

Gabriel Guedj

Data Analyst