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It is much more important to understand why a client became sick then the fact that he or she got sick. IntroductionFor purposes of this web site, Analysis Services will be defined as those services or applications that support decision making. On Line Analytical Processing (OLAP)While data warehouses are usually based on relational technology, OLAP uses a multidimensional view of aggregate data to provide quick access to important information for further analysis. OLAP enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information. OLAP transforms raw data to useful information so that it reflects the real factors affecting or enhancing the line of business of the enterprise. The data warehouse stores and manages the data, while OLAP converts the stored data into useful information.
By moving the analyses to the clinical level, the organization empowers the operational managers to makes decisions based on their own environments. Features of OLAPOLAP must always have the following elements:
On-Line Analytical Processing (OLAP) builds on the work that has already been laid out in the discussion of Relational databases and Data Warehousing. While OLAP uses these technologies, it is essentially a different application architecture. OLAP makes it possible to solve market analysis and forecasting by using database designs that are array-oriented and multidimensional in nature. Decision SupportThe ability to collect large amounts of data and perform complex calculations does not tell us what questions to ask. Information is a level above traditional data collection and is generally derived from an act of comparisons. OLAP makes these comparisons relatively easy. Links and Downloads
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