Authors:
Dalia Al-Eisawi
and
Mark Lycett
Affiliation:
Brunel University, United Kingdom
Keyword(s):
Business Intelligence, Systematic Literature Review, Decision Making, Business Performance Management, Data Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Strategic Decision Support Systems
Abstract:
This paper presents findings from the Systematic Literature Review (SLR) on Business Intelligence (BI), to clarify key definition alongside managerial effects resulting from its implementation in organizations. In doing this, the paper aims to assist organizations, decision makers, managers and information system researchers to validate the existing state of research in BI motivation. The review highlights gaps in the presented body of existing literature, contradictory answers in relation to BI definition and aspects, in addition, uncovers themes significant to BI implementation that are not well addressed in the literature. The need for empirical research is also highlighted, as the majority of the articles analyzed are at the conceptual and/or theoretical level. In addition, the research recognized a connection between a set of different managerial aspects affected by BI.