As Retail markets become increasingly competitive, the ability to react quickly and decisively to market trends and to tailor products and services to individual customers is more critical than ever. A data warehouse can be a very effective means of organizing and analyzing the vast amount of information generated in the business, and help to generate a more effective business model for keeping the business profitable.

Successful retailers strive to accomplish three basic objectives:

§ To align their business with customer needs

§ To differentiate from competitors and

§ To optimize product manufacturing and space utilization.

To achieve these goals, retailers must be able to successfully manage inventory, product mixes, promotions, supply chain dynamics, and a number of other factors. Furthermore, as sales markets become increasingly competitive, the ability to react quickly and decisively to market trends is more critical than ever. Lack of information is not the problem—data to assist in making these kinds of decisions is readily available from a variety of sources. On the contrary, the prob

The final step in the data delivery system is called "data retailing." As one might imagine, a data retailer is highly customer-oriented. It provides simple tools for finding the data needed. It allows creation of value-added information through techniques such as exception highlighting, trend analysis, modeling and statistics development. In fact, it makes query development transparent. Data retailers are often called Online Analytical Processing (OLAP) systems.

§ Review category and product margins, particularly during special offers and promotions

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