Case Study: a leading specialty retailer achieves faster, unified retail data operations with Xtivia

Leading Specialty Retailer cuts ETL processing time by 50% with Xtivia

Xtivia helped a leading specialty retailer overcome significant data engineering challenges. The retailer faced fragmented data from multiple platforms, inconsistent vendor formats, and an inability to leverage customer analytics effectively. This led to reporting delays, a lack of a single source of truth, and difficulties in migrating to Essbase Cloud and optimizing Snowflake costs, all of which hindered real-time decision-making.

Xtivia implemented a scalable Data Engineering Managed Services solution, building a unified data architecture in Snowflake with automated ETL pipelines. They standardized data, enhanced analytics with AI-driven customer segmentation and weather integration, and automated reporting. As a result, Xtivia reduced ETL processing time by 50%, decreased Snowflake costs by 30%, and improved dashboard load times by 40%, enabling near real-time insights and operational excellence for the retailer.