Case Study: Miinto achieves faster data discovery and 100% metric documentation with Secoda

How Miinto embedded AI into data workflows using Secoda

Miinto, a European fashion marketplace, needed a more reliable data foundation as its business grew and different teams began using inconsistent metric definitions, scattered documentation, and manual processes that slowed reporting and analysis. The company worked with Secoda to support its BI rebuild and create a centralized, searchable layer for data documentation and discovery.

With Secoda’s Glossary, AI search, AI Personas, Slack integration, Automations, and API-driven workflows, Miinto standardized business measures, sped up root cause analysis, and automated documentation maintenance. The results included 100% documentation coverage of business measures in Power BI and BigQuery, more than a month of manual documentation work eliminated, faster answers to data questions in seconds instead of minutes, and improved support response speed and consistency through Secoda AI in Slack.

Miinto

Martin Brummerstedt

Lead the Business Intelligence Team