By William A. Giovinazzo, Visit Amazon's W. A. Giovinazzo Page, search results, Learn about Author Central, W. A. Giovinazzo,
Hyperlink enterprise intelligence to the internet! applied sciences, integration, and functions. * Internet-enabled company intelligence: from making plans to benefit * In-depth insurance of integration and key allowing applied sciences, together with Java and XML * complicated research and profiling: comprehend consumers higher, and reply quicker * Clickstrean research: figuring out how buyers use your website * Linking information warehouses to CRM and different enterprise/value chain structures
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The structure of this data and how this structure is designed is the focus of this book. 12. Dependent Data Mart A common misconception is that a data mart is a small data warehouse. The difference between the data mart and the data warehouse is scope. The data mart focuses on a specific subject area within the organization; the scope of the data warehouse is the entire organization. A dependent data mart relies on the data warehouse for the source of its data. This description of the warehouse, however, examines only the parts.
Errors are still reported to the operational environment, but it is the responsibility of those maintaining the operational systems to take corrective action. The concern is making sure that the data in the warehouse reflects what is seen in the operational environment. A disagreement between the two environments could lead to a lack of confidence in the warehouse. The cleansing process cannot detect all errors. Some errors are simple and honest typographical mistakes. There are errors in the data that are more nefarious and will challenge the data administrator.
A number or letter is assigned as a label for identification or classification of that object. When integrating this data, map the input scales to the data warehouse scale.  A scale is defined as any series of items that are progressively arranged according to value or magnitude and into which an item can be placed according to its quantification. 3. Units of Measure Integration of units of measure can be deceptive. While it may seem at first that it would be a simple mathematical calculation, issues such as precision must be considered when making these conversions.
Internet-Enabled Business Intelligence by William A. Giovinazzo, Visit Amazon's W. A. Giovinazzo Page, search results, Learn about Author Central, W. A. Giovinazzo,