Paper Info
Title
A metadatabase-enabled executive information system (part A): a flexible and adaptable architecture
Abstract
Executive information systems (EIS) that are capable of accessing multiple data sources (both online and offline) for on-demand, ad hoc analysis are needed to support the changing needs of corporate executives. A major shortcoming of existing EISs is that their database schema and data content are predetermined, fixed, and hard-coded, which leads to predefined data analysis patterns. In this paper, we propose a new EIS architecture that takes advantage of a knowledge-based mechanism known as the Metadatabase. The architecture enables executives to discover new informational structures, such as critical successful factors and perspectives from which to analyze these factors, that are useful for the analysis of an enterprise's business performance. The novel and on-demand data analysis needs of executives are supported by the online capability of the new EIS architecture, and we argue that the new architecture has better system flexibility and adaptability compared to existing EISs.
Year
DOI
Venue
2006
10.1016/j.dss.2006.01.005
Decision Support Systems
Keywords
Field
DocType
adaptable architecture,data content,new informational structure,executive information systems,new eis architecture,metadatabase-enabled executive information system,online analytical processing,metadatabase management system,systems integration,multiple data source,on-demand data analysis need,data warehouse,business performance,new architecture,predefined data analysis pattern,online capability,better system flexibility,data analysis,knowledge base,management system,critical success factor,executive information system,system integration
Data science,Data warehouse,Data architecture,Applications architecture,Metadatabase,Computer science,Solution architecture,Operations research,Knowledge management,Executive information system,Systems architecture,Enterprise architecture framework
Journal
Volume
Issue
ISSN
42
3
Decision Support Systems
Citations 
PageRank 
References 
10
0.49
25
Authors
2
Name
Order
Citations
PageRank
Waiman Cheung175266.77
Gilbert Babin221236.76