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Rei/ Data Warehouse

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Data Warehouse A data warehouse has many different processes that require several different technologies. Batch and transaction processing data has to first be taken out of the operational databases and then it can be cleaned up. Then the data is uploaded onto a relational database. Data warehouses are the basis for customer relationship management systems because they can be used for consolidating customer data and identifying areas of customer satisfaction and frustration. These warehouses can be used for fraud detection, production analysis, profit center, and corporate management. For retailers, a data warehouse can help identify customer demographics, identify shopping patterns, and improve mailing responses. Data Warehouse REI The data warehouse REI is building is going to have many different types of information about its customers. In order to better serve its clientele, REI has to know what their customers do outdoors. With the help from IBM, REI thinks that their data warehouse will help them better identify their individual’s needs and help them better as a company. This will also help them identity what the customers bought online or in the retail stores. The warehouse will also give them insight whether they attended special training for equipment and outdoor activities, or even what items a particular customer has returned. Data Warehouse Concerns There are many issues that are surrounding a data warehouse that companies need to be ready for. A failure to properly prepare for these issues is a key factor into why these warehouses are unsuccessful. One of the big hurdles that companies encounter is spending a lot of time loading and cleaning data to put into the warehouse. Some experts have estimate that warehouse project workers will spend 80% of their time entering the different information in the warehouse. Most

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