§  Data Warehouse enhances end-user to wide variety of data.

§  It increases data consistency.

§  It increases productivity.

§  It decreases computer costs.

§  It is able to combine data from different sources in one place.

§  It provides infrastructure that could support changes to data and replication of the changed data back into operating systems.

§  It performs new types of analyses.

§  It Reduces cost to access historical data.

§  It Improves turnaround time for analysis and reporting.

§  Easy report creation.


§  Extracting, deleting, deleting data could be time consuming.

§  To provide training to end-user, who end up not using the data warehouse is time consuming and can be cost effective.

§  Security could develop into a serious issue, especially if the data warehouse is web accessible.

§  Data warehouses’ maintenance generates usually significant costs.

§  Data warehouses are often similar to operational systems and multiplying the same functionality generates superfluous costs that might have been easily omitted.

§  Limited flexibility of use and types of users

§  Difficult to accommodate changes in data types and ranges, data source schema, indexes and queries.

§  Compatibility with existing systems. Data owners lose control over their data, raising ownership (responsibility and accountability), security and privacy issues.

§  Adding new data sources takes time and associated high cost.

§  Major data schema transforms from each of the data sources to one schema in the data warehouse, which can represent more than 50% of the total data warehouse effort


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