Case Study: CJ O Shopping achieves real-time operational intelligence and 50% cost reduction with Splunk

Real-time Data Analytics Improves Operational Efficiencies

CJ O Shopping is a leading Korean home-shopping operator with over 800 employees and $2.4 billion in annual sales, known for a strong presence in TV, catalog, web and mobile channels. The company needed real-time analysis of customer click and purchase behavior—especially on mobile—to act on opportunities instantly, but its data warehouse and weblogger tools only produced next-day reports and couldn’t handle unstructured or mobile data.

In April 2013 CJ O Shopping deployed Splunk to collect and analyze web and mobile logs in real time, enabling targeted promotions, social-commerce features and broader operational intelligence. The move cut analytics costs by 50%, saved up to 24 hours on log analysis, sped incident response, broke down departmental silos, and integrated web and mobile insights to improve marketing and sales performance.

CJ O Shopping

Jin-Hyuk Ahn

Managing Director for Smart IT Business Division, CJ O Shopping