Case Study: GUESS? achieves faster insights and operational efficiency with Vertica Analytics Platform

Fashion retailer seizes insight, efficiency across operations with Vertica’s predictive analytics

Guess, the global fashion retailer, needed a better analytics platform to replace its slow Oracle enterprise data warehouse. Daily loads took up to five hours, complex queries often stalled, ETL work was time-consuming, and data growth was capped, limiting business insight and efficiency.

Vertica implemented an on-premise Vertica Analytics Platform for Guess, enabling faster querying, simpler ETL, and real-time access to sales, inventory, and customer data. The results included 60–400x better query performance, batch loads reduced to 60–90 minutes, support for 36 TB of data, a 30–35% faster application speed-to-market, and mobile apps used across the business, with 80% of the workforce relying on Vertica-generated information daily.

Guess

Bruce Yen

Director of Business Intelligence