Case Study: Jollyes achieves scalable retail data integration with Etlworks

Jollyes automates hundreds of daily files with Etlworks

Jollyes, a major UK pet retailer, faced challenges scaling its data integration due to complex workflows involving multiple source systems like APIs, FTP files, and databases with inconsistent formats. They needed a scalable ETL solution to handle scheduling dependencies and support data-driven operations, leading them to choose the Etlworks platform.

By implementing Etlworks, Jollyes automated multi-source ETL pipelines that ingest, transform, and load data into a centralized Snowflake data warehouse. The solution provided end-to-end automation, faster real-time analytics, and improved operational efficiency, allowing the company to easily scale its data architecture to handle growing volume and complexity.

Jollyes