a software technology that enables users to dynamically analyze data that is stored in multidimensional database (MDDB) tables.
A category of software tools that analyses data stored in a database. OLAP tools allow users to analyze different dimensions of multidimensional data. For example, it provides time-series and trend¬-analysis views. The chief component of OLAP is the OLAP server, which sits between a client and a database management system. The OLAP server understands how data is organized in the database.
Technology that allows users to perform multidimensional analysis on large volumes of data. Supported by Excel 2000. See also multidimensional data source.
Decision support software that allows the user to quickly analyze information that has been summarized into multidimensional views and hierarchies.
A multidimensional, multi-user, client server computing environment for users who need to analyze consolidated enterprise data in real time. OLAP systems feature zooming, data pivoting, complex calculations, trend analyses, and modeling.
Analyzing historical (warehoused) business data using multidimensional analysis software. Is also is used to mean data warehousing.
OLAP functionality is characterized by dynamic, multidimensional analysis of historical data, which supports activities such as the following: Calculating across dimensions and through hierarchies Analyzing trends Drilling up and down through hierarchies Rotating to change the dimensional orientation OLAP tools can run against a multidimensional database or interact directly with a relational database.
A group of technologies and applications that collect, manage, process, and present multidimensional data for analysis and management purposes. To be effective,...
Processing that supports the analysis of business trends and projections.
An application that looks for trends and patterns in corporate data in real-time.
The process of collecting data from one or many sources; transforming and analyzing the consolidated data quickly and interactively; and examining the results across different dimensions of the data by looking for patterns, trends, and exceptions within complex relationships of that data.
Utilities that sit between a database and user in to provide interpretation of data stored within a database.
( OLAP)—A tool that helps organize databases more efficiently for quick access to internal data, especially when querying large amounts. This type of tool is used commonly with databases that organize data in multiple dimensions or aspects.
Programs that analyze data for a decision support system. 13.37