Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Incorporating Data Stream Analysis into Decision Support Systems

Incorporating Data Stream Analysis into Decision Support Systems
View Sample PDF
Author(s): Damianos Chatziantoniou (Athens University of Economics and Business, Greece) and George Doukidis (Athens University of Economics and Business, Greece)
Copyright: 2005
Pages: 9
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.ch252


View Incorporating Data Stream Analysis into Decision Support Systems on the publisher's website for pricing and purchasing information.


Traditional decision support systems (DSS) and executive information systems (EIS) gather and present information from several sources for business purposes. It is an information technology to help the knowledge worker (executive, manager, analyst) make faster and better decisions. So far, this data was stored statically and persistently in a database, typically in a data warehouse. Data warehouses collect masses of operational data, allowing analysts to extract information by issuing decision support queries on the otherwise discarded data. In a typical scenario, an organization stores a detailed record of its operations in a database, which is then analyzed to improve efficiency, detect sales opportunities, and so on. Performing complex analysis on this data is an essential component of these organizations’ businesses. Chaudhuri and Dayal (1997), present an excellent survey on decision-making and on-line analytical processing (OLAP) technologies for traditional database systems.

Related Content

Adeyinka Tella, Oluwakemi Titilola Olaniyi, Aderinola Ololade Dunmade. © 2021. 24 pages.
Md. Maidul Islam. © 2021. 17 pages.
Peterson Dewah. © 2021. 23 pages.
Lungile Precious Luthuli, Thobekile K. Buthelezi. © 2021. 14 pages.
Delight Promise Udochukwu, Chidimma Oraekwe. © 2021. 13 pages.
Julie Moloi. © 2021. 18 pages.
Mandisa Msomi, Lungile Preciouse Luthuli, Trywell Kalusopa. © 2021. 17 pages.
Body Bottom