What is the difference between OLAP and DSS?

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venkatbanka

  • Sep 25th, 2007
 

Data-driven DSS is a type of DSS that emphasizes access to and manipulation of a time-series of internal company data and sometimes external data. Simple file systems accessed by query and retrieval tools provide the most elementary level of functionality. Data warehouse systems that allow the manipulation of data by computerized tools tailored to a specific task and setting or by more general tools and operators provide additional functionality. Data-driven DSS with On-line Analytical Processing (OLAP) provides the highest level of functionality and decision support that is linked to analysis of large collections of historical data. Executive Information Systems (EIS) and Geographic Information Systems (GIS) are special purpose Data-Driven DSS

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OLAP is an element of DSS. Decision Support System is, as the name says, a SYSTEM within a business department. It is a generic term.  OLAP is a process or element of DSS which helps the analysts in DSS to arrive at a decision.

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