Case Study: Lower TCO by 30% with Faster, Smarter Analytics
sponsored by IBM

GS Retail, a conglomerate of Korean retail chains, maintained separate data warehouses for convenience stores, supermarkets and its customer relationship management (CRM) system. Their data warehouses were aging and in need of a performance upgrade.

Among the over 600 store managers and marketing executives using the system, there were companies of bottlenecks when a large number of users attempted access, as well as slow loading and processing.

Access this white paper to learn about GS Retail’s decision to implement a new data warehouse analytic system (DWHAS) data mart to provide the analytics it needed to propel growth, with better performance and cost efficiency.

Discover how they achieved significant savings in hardware, software, operating and people costs and faster time to value with a reduction in the time and speed associated with deploying the data mart.

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