IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Basic Notions on Multidimensional Aggregate Data

Basic Notions on Multidimensional Aggregate Data
View Sample PDF
Author(s): Maurizio Rafanelli (Italian National Research Council, Italy)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch040

Purchase

View Basic Notions on Multidimensional Aggregate Data on the publisher's website for pricing and purchasing information.

Abstract

The term multidimensional aggregate data (MAD; see Rafanelli, 2003) generally refers to data in which a given fact is quantified by a set of measures obtained applying one more or less complex aggregative function (count, sum, average, percent, etc.) to row data, measures that are characterized by a set of variables, called dimensions. MAD can be modeled by different representations, depending on the application field which uses them. For example, some years ago this term referred essentially to statistical data, that is, data whose use is essentially of socio-economic analysis. Recently, the metaphor of the data cube was taken up again and used for new applications, such as On-Line Analytical Processing (OLAP), which refer to aggregate and non aggregate data for business analysis.

Related Content

Christine Kosmopoulos. © 2022. 22 pages.
Melkamu Beyene, Solomon Mekonnen Tekle, Daniel Gelaw Alemneh. © 2022. 21 pages.
Rajkumari Sofia Devi, Ch. Ibohal Singh. © 2022. 21 pages.
Ida Fajar Priyanto. © 2022. 16 pages.
Murtala Ismail Adakawa. © 2022. 27 pages.
Shimelis Getu Assefa. © 2022. 17 pages.
Angela Y. Ford, Daniel Gelaw Alemneh. © 2022. 22 pages.
Body Bottom