Data mining exercise 2: analytics data environment
Prepare a depiction of an analytics data environment typical to an online retailer. Include a data warehouse repository that depicts various sources of available data. Also include at least one data mart that is sourced at least in part from the data warehouse.
- Source Data Systems: Identify at least two source data systems that are typical to an online retailer and that might be useful to a data mining initiative to better understand the retailer’s customers.
- Data Warehouse: Describe the contents of a data warehouse typical to an online retailer, emphasizing sources (transactional system, supply chain management system, etc.) and data subject areas (sales, customer, supply, etc.).
- Data Mart: Identify the benefits and limitations of a data mart that is sourced from the warehouse to support customer analytics for a typical online retailer.
- External Data: Identify a source of external data a typical online retailer might wish to include in a customer analytics data mart. What benefit is gained by the addition of this external data? What challenges are presented by the integration of this external data source?
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