Case Study: Dialpad achieves AI-powered analytics and data governance with Secoda

How Dialpad uses Secoda as a core layer in its AI infrastructure

Dialpad, a leading business communications platform, wanted to bring the same AI-first approach it uses in its products into its internal data environment. Its data stack was fragmented across thousands of dashboards, scattered documentation, and limited lineage, making even basic questions slow and dependent on analysts. The company turned to Secoda to support smarter, AI-driven data workflows across 12 departments.

With Secoda, Dialpad centralized documentation and metrics, added end-to-end field-level lineage across Fivetran, dbt, BigQuery, and Tableau, and rolled out Secoda AI for self-serve analytics and predictive exploration. The results came quickly: in less than two months, more than 200 employees used Secoda AI, analyst time was reduced by turning hours-long requests into seconds, and teams could instantly analyze sales coaching needs and opportunity loss drivers. Dialpad also improved governance with Jira integration, monitors, and automations, making Secoda a core layer of its AI infrastructure.

Dialpad

Jesu Joseph

Head of Data