Database System in a Retail Environment

Paper Summary:

This paper explains that, to manage such a huge network of stores, to integrate the different stores and to optimize its performance, Wal-mart had turned to information technology for intelligent business management solutions. The author points out that Wal-Mart, with more than 2800 stores, has taken customer service to new heights with access and intelligent interpretation of data that permits each customer to access details pertaining to products from any of the stores around the country. The paper relates that today Wal-Mart has one of lowest expenditure in terms of the logistics with distribution expenses amounting to only three percent of the overall sales.

Table of Contents
Introduction
Summary
Wall-Mart (Data Warehouse)
Data Mining
Analysis (Major Problem)
Conclusion

From the Paper:

"Wal-Mart turned to Neo Vista Software Inc. to deliver its data mining needs. The Neo Vista decision series "was tailored to match the requirements of the database environment of Wal-Mart. One important advantage of the implementing the data-mining tool was that the company was able to optimize the inventory management. (Better management of stocks). According to said Randy Mott, the senior vice president and the chief information officer of Wal-Mart, "Our investment in data mining is part of Wal-Mart's drive to deliver what it's customers want: the right item, at the right store, at the right time and at the right price, the NeoVista Decision Series is enabling Wal-Mart to look at individual items for individual stores to determine seasonal sales profiles. This additional level of detailed analysis is helping us make even better informed business decisions and helps us further utilize our data Warehouse."[Author not Available] With data from all its POS (Point of Sale terminals) available in the data warehouse the Neo vista decision series gives a clear picture of the business trends and provides good demand projection."

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