By W. H. Inmon
Up-to-date and accelerated to mirror the various technological advances taking place because the earlier version, this most recent variation of the information warehousing "bible" offers a finished advent to development info marts, operational facts shops, the company details manufacturing facility, exploration warehouses, and Web-enabled warehouses. Written by means of the daddy of the information warehouse idea, the ebook additionally experiences the original necessities for helping e-business and explores quite a few ways that the normal information warehouse might be built-in with new applied sciences to supply more suitable customer support, revenues, and support-both on-line and offline-including near-line information garage ideas.
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Additional info for Building the Data Warehouse
And the individual level of data is where much heuristic analysis is done. The different levels of data form a higher set of architectural entities. These entities constitute the corporate information factory, and they are described in more detail in my book The Corporate Information Factory, Third Edition (Wiley, 2002). Some people believe the architected environment generates too much redundant data. Though it is not obvious at first glance, this is not the case at all. Instead, it is the spider web environment that generates the gross amounts of data redundancy.
The applications were built to service the needs of current balance processing. They were never designed to hold the historical data needed for DSS analysis. It is no wonder, then, that going to existing systems for DSS analysis is a poor choice. But where else is there to go? The systems found in the naturally evolving architecture are simply inadequate for supporting information needs. They lack integration and there is a discrep- Example of going from data to information: “How has account activity been different this year from each of the past five for the financial institution?
The second salient characteristic of the data warehouse is that it is integrated. Of all the aspects of a data warehouse, integration is the most important. Data is fed from multiple disparate sources into the data warehouse. 1 An example of a subject orientation of data. fed it is converted, reformatted, resequenced, summarized, and so forth. The result is that data—once it resides in the data warehouse—has a single physical corporate image. 2 illustrates the integration that occurs when data passes from the application-oriented operational environment to the data warehouse.
Building the Data Warehouse by W. H. Inmon