Key Success Factors in Business Intelligence
Szymon Adamala,Linus Cidrin +1 more
- Vol. 1, Iss: 1, pp 107-127
TLDR
In this article, the authors identify the factors that are present in successful business intelligence projects and organize them into a framework of critical success factors, such as the presence of a specific business need and a clear vision to guide the project.Abstract:
Business Intelligence can bring critical capabilities to an organization, but the implementation of such capabilities is often plagued with problems. Why is it that certain projects fail, while others succeed? The aim of this article is to identify the factors that are present in successful Business Intelligence projects and to organize them into a framework of critical success factors. A survey was conducted during the spring of 2011 to collect primary data on Business Intelligence projects. Findings confirm that Business Intelligence projects are wrestling with both technological and non-technological problems, but the non-technological problems are found to be harder to solve as well as more time consuming than their counterparts. The study also shows that critical success factors for Business Intelligence projects are different from success factors for Information Systems projects in general. Business Intelligences projects have critical success factors that are unique to the subject matter. Major differences can be found primarily among non-technological factors, such as the presence of a specific business need and a clear vision to guide the project. Success depends on types of project funding, the business value provided by each iteration in the project and the alignment of the project to a strategic vision for Business Intelligence at large. Furthermore, the study provides a framework for critical success factors that, explains sixty-one percent of variability of success for projects. Areas which should be given special attention include making sure that the Business Intelligence solution is built with the end users in mind, that the Business Intelligence solution is closely tied to the company’s strategic vision and that the project is properly scoped and prioritized to concentrate on the best opportunities first.read more
Citations
More filters
Journal ArticleDOI
Critical success factors for business intelligence in the South African financial services sector : original research
TL;DR: In this article, the authors used Delphi-technique approach with key project stakeholders in three BI projects in different business units of a leading South African financial services group to determine which CSFs are the most important in the financial services sector of South Africa.
Journal ArticleDOI
Cloud solution in Business Intelligence for SMEs – vendor and customer perspectives
TL;DR: The findings suggest that the most important CSFs were the level of software functionalities, the ubiquitous access to data, responsive answers to customer support requests, handling large amounts of data and implementation cost.
Journal ArticleDOI
A place for intelligence studies as a scientific discipline
TL;DR: In this paper, an empirical investigation found that academic and professional within CI and IS could not agree upon what dimensions, topics or content are handled by their own area of interest that is not covered by other areas of study.
Journal ArticleDOI
Key success factors to business intelligence solution implementation
TL;DR: In this article, a multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search was conducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factor were assessed along with experts; and action, where research results discussion was shown.
Journal ArticleDOI
The Diffusion Stages of Business Intelligence & Analytics (BI&A): A Systematic Mapping Study
TL;DR: This is the first systematic mapping study focused on BI&A diffusion stages and observes that little attention has been given to BI &A post-adoption stages and proposes future research line on this area.
References
More filters
Book
The practice of social research
TL;DR: This chapter discusses the construction of Inquiry, the science of inquiry, and the role of data in the design of research.
Journal ArticleDOI
Information Systems Success: The Quest for the Dependent Variable
TL;DR: A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success, but the dependent variable in these studies-I/S success-has been an elusive one to define.
Journal ArticleDOI
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
TL;DR: This paper discusses many of the important IS success research contributions of the last decade, focusing especially on research efforts that apply, validate, challenge, and propose enhancements to the original model.
Book
the delphi method: techniques and applications
Harold A. Linstone,Murray Turoff +1 more
TL;DR: The present model clarifies some of the conceptual problems associated with cross-impact analysis, and supplies a relatively sound basis for revising probability estimates in the limited case where interactions can be approximated by relative probabilities.
Book
Building the data warehouse
TL;DR: This Second Edition of Building the Data Warehouse is revised and expanded to include new techniques and applications of data warehouse technology and update existing topics to reflect the latest thinking.
Related Papers (5)
An empirical investigation of the factors affecting data warehousing success
Barbara H. Wixom,Hugh J. Watson +1 more