Case Study: CJ O Shopping achieves 50% cost savings and real-time operational efficiencies with Splunk Enterprise

CJ O Shopping Improves Operational Efficiencies With Real-Time Data Analytics

CJ O Shopping is a global home-shopping operator with over 800 employees and $2.4 billion in annual sales, and a 50% share of Korea’s mobile shopping market after launching iPhone and Android apps. The company struggled with a legacy data warehouse and weblogger tools that could only deliver analytics with a 24‑hour delay, leaving it unable to get real‑time insights needed for mobile traffic, customer behavior, and timely marketing decisions.

Deploying Splunk Enterprise gave CJ O Shopping real‑time analytics across web and mobile logs and unstructured data, breaking down silos and enabling operations teams to act without IT handoffs. The rollout reduced analytics costs by 50%, eliminated a day of lag in log analysis, improved incident response and operational efficiency, and powered targeted promotions and social features that boosted marketing effectiveness.

CJ O Shopping

Jin-Hyuk Ahn

Managing Director for Smart IT Business Division, CJ O Shopping