An evaluation of business intelligence tools: a cluster analysis of users’ perceptions

Fatma Fourati-Jamoussi, Claude Narcisse Niamba

Abstract


The purpose of this paper is to discuss and evaluate the use of business
intelligence (BI) tools by professionals and students to help designers of these tools get the most
efficiency out of a monitoring process. This paper explores the business and competitive
intelligence literature. BI is considered to be a new area in information systems, so literature
research was conducted in the area of management information systems (MIS) with two
evaluation models: task-technology fit and technology acceptance to evaluate BI tools. A
questionnaire was sent to users of business intelligence tools addressed to French companies in
different trades and engineering students and the most pertinent replies were examined. The
responses were analyzed using the statistical software SPAD. Results showed a typology from
the various profiles of users of this technology using the method of classification. We note
different perceptions between professional and student users (the clients). Although this study
remains focused on individual perspective, it requires more examination of the organizational
impact of the use of BI tools. The identification of the different user profiles was done by using
a cluster analysis. For the designers of BI tools these results highlight the importance of user
perception, suggesting designers take into account the perception of all user types. As these
tools develop, more and more companies will be looking for skills for monitoring and
management of strategic information.


Keywords


business intelligence, cluster analysis, TAM model, TTF model, user perception

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References


Abzaltynova, Z. and Williams, J. (2013)

Developments in Business Intelligence

Software, Journal of Intelligence Studies in

Business, No. 2: 40-54.

Adamala, S. and Cidrin, L. (2011) Key success

factors in business intelligence. Journal of

Intelligence Studies in Business, Vol. 1, No. 1:

-127.

Aguilar, F. J. (1967) Scanning the business

environment. Macmillan, NY: Macmillan.

Amara, Y., Solberg Soilen, K., Vriens, D., (2012)

Using the SSAV model to evaluate Business

Intelligence Software, Journal of Intelligence

Studies in Business, No. 3: 29-40.

Benbasat, I., Nault, B.R., (1990) An evaluation of

empirical research in managerial support

systems, Decision Support Systems, Vol. 6.

Blanco, S. (1998) Gestion de l'information et

Intelligence stratégique : cas de la sélection

des signes d'alerte précoce de Veille

Stratégique. Th. Doctorat Sciences de Gestion,

Grenoble 2 UPMF, CERAG.

Choo, C.W. (1998) Information management for

the intelligent organization: the art of the

scanning the environment, Medford, NJ:

Information today Inc.

Davis, F.D., (1989) Perceived usefulness,

perceived ease of use, and user acceptance of

information technologies, MIS Quarterly, Vol.

, No. 3.

Delone, W.H. and McLean, E.R., (2003) The

Delone and McLean model of information

success: A ten-Year update, Journal of

Management Information Systems, Vol. 19,

No. 4.

Doll, W. J. and Torkzadeh, G., (1998) Developing

a multidimensional measure of system-use in

an organizational context, Information and

Management, Vol. 33.

Giald, B., and Giald, T. (1988) The business

intelligence system, a new tool for competitive

advantage, New York: AMACOM.

Goodhue, D. L. and Thompson R. L., (1995) Task-

Technology Fit and Individual Performance,

MIS Quarterly, Vol. 19, No. 2.

Grublješič, T., and Jaklič, J., (2014) Customer

oriented Management practices leading to BIS

embeddedness, Online Journal of applied

Knowledge Management, Vol. 2, Issue 1: 11-

Herring, J. P., (1998) What is intelligence

analysis?, Competitive Intelligence Magazine,

Vol.1, No 2

http://www.scip.org/news/cimagazine_article.

asp?id=196 (current September 1, 2003)

Kahaner, L. (1998) Competitive Intelligence:

How to gather, analyze and use information to

move your business to the top, Touchstone.

Lesca, H., and Chokron, M., (2000) Intelligence

d’entreprise : retours d’expériences, AIM.

Lesca, H., (2001) Veille stratégique pour le

management stratégique. Etat de la question

et axes de recherche, in Economies et Sociétés,

Série Sciences de Gestion, SG No. 20.

Lesca, H., (2003) Veille stratégique, La méthode

LESCAnning. EMS.

Lesca, N. and Caron-Fasan M-L (2006) Veille

anticipative, une autre approche de

l’intelligence économique, Lavoisier, Paris.

Marmuse, C. (1992) Politique générale: langage,

intelligence, modèles et choix stratégiques,

Paris, Economica.

Morin J. (1985) L’excellence technologique, Publi-

Union, Paris.

Nyblom, M., Behrami, J., Nikkilä, T., Solberg

Soilen, K., (2012). An evaluation of Business

Intelligence Software systems in SMEs-a case

study, Journal of Intelligence Studies in

Business, No. 2: 51-57.

Rogers E., (2003) Diffusion of innovations, The

Free Press, New York, 5th edition.

Ruach, D. and Santi, P., (2001) Competitive

Intelligence Adds Value: Five Intelligence

Attitudes, European Management Journal,

Vol. 19, No. 5.

Sabanovic, A., (2012) Customers’ expectations

and need in the Business Intelligence

Software Market, Journal of Intelligence

Studies in Business, No. 2: 5-20.

Sakys, V. and Butleris, R. (2011) Business

Intelligence tools and technology for the

analysis of university studies management.

Transformations in Business and Economics,

Vol. 10, No. 2: 125-136.

Seddon, P.B., (1997) A respecification and

extension of the Delone and McLean model of

IS success, Information Systems Research,

Vol. 8.

Solberg Soilen, K., (2015) A place for intelligence

studies as a scientific discipline, Journal of

Intelligence Studies in Business Vol 5, No. 3:

-46.

Solberg Soilen, K., and Hasslinger, A., (2012)

Factors shaping vendor differentiation in the

Business Intelligence Software industry,

Journal of Intelligence Studies in Business,

No. 3: 48-54.

Thietart, R-A, Vivas, R., (1981) Strategic

Intelligence activity: the management of the

sales forces as a source of strategic

information, Strategic Management Journal,

Vol. 2.

Venkatesh, V., Morris, MG., Davis, GB, Davis,

FD, (2003) User acceptance of information

technology: toward a unified view. MIS

Quarterly, Vol. 27, No. 3: 425-478.

Walls, J.G., Widmeyer, G.R., El Sawy, O.A.,

(1992). Building an information system design

theory for vigilant EIS, Information System

Research, Vol. 3, No. 1.

Wierenga, B., and Van Bruggen, G.H., (2000)

Marketing Management Support Systems:

Principles, Tools and Implementation,

International Series in Quantitative

Marketing.

Wilensky, H., (1967) Organizational intelligence:

knowledge and policy in government and

industry, New York: Basic Books.


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