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National Fast Food Chain Case Study:
Extracting POS Data Nightly from Over 2,000 Locations to Solve a Reporting Problem

A Magenic Case Study

This national fast food chain was interested in expanding its data warehouse to include daily POS item-level transactions from its 2,000-plus locations. This type of information is critical to marketing and product development executives in order to customize products and offerings to its customers by region or store. This organization also wanted a deeper understanding of seasonal buying patterns of their customers.

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