Case Study: GS Home Shopping achieves unified data, improved integrity and 30% faster scheduling with SAS Data Integration Server

GS Home Shopping unifies multiple data sources, ensures integrity and timeliness

GS Home Shopping, Korea’s largest home-shopping broadcaster reaching roughly 12 million homes and operating the region’s largest call center, struggled to collect and prepare analytics from dozens of systems—more than 300 data‑warehousing programs across Oracle, Sybase, Siebel and SAP—causing delayed, error-prone reporting and difficulty delivering timely, trusted information to executives each morning.

The company implemented SAS Data Integration Server (with SAS Data Integration Studio) to unify sources, consolidate metadata and migrate existing ETL processes. The solution improved data integrity and visibility—catching errors as they occur—cut ETL tuning and scheduling time by about 30%, broadened business-user access to analytics, and delivered measurable marketing and operational benefits such as targeted coupon distribution and centralized process management.

GS Homeshopping

Hye-kyun Im

Manager, Process Change Management Team