Key success factors to business intelligence solution implementation
DOI:
https://doi.org/10.37380/jisib.v7i1.215Keywords:
BI projects, BI success, business intelligence, critical factors, key success factorsAbstract
Business intelligence (BI) solutions have been adopted within organizations as amean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search wasconducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contributeto improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects.References
Adamala, S., & Cidrin, L. (2011). Key Success
Factors in Business Intelligence. Journal of
Intelligence Studies in Business, 1(1), 107–
Ahmed, S. (2014). Towards a Utility Framework
for Enterprise Business Intelligence Mashups.
University of Ottawa.
Arnott, D. (2008). Success factors for data
warehouse and business intelligence systems.
In ACIS 2008 Proceedings - 19th Australasian
Conference on Information Systems (pp. 55–
.
Arnott, D. (2010). Senior Executive Information
Behaviors and Decision Support : A Research
Agenda 1.
Bridging the Socio-Technical Gap
in Decision Support Systems, (July 2009), 37–
https://doi.org/10.3233/978-1-60750-577-8-
Bălăceanu, D. (2007). Components of a Business
Intelligence software solution. Informatica
Economică, 2, 67–73.
Castelán, L., Hernández, O., & Octavio, J. (2010).
Diseño de un Almacén de datos basado en
Data Warehouse Engineering Process ( DWEP
) y HEFESTO. Research on Computing
Science, 50, 125–135.
Chan, L. K., Tan, H. K., Lau, P. Y., & Yeoh, W.
(2013). State-of-the-Art Review and Critical
Success Factors for Mobile Business
Intelligence. In Communications of the IBIMA
(Vol. 1, pp. 708–717). International Business
Information Management Association,
IBIMA.
Cidrin, L., & Adamala, S. (2011). Key Success
Factors in Business Intelligence. Journal of
Intelligence Studies in Business, 1(1), 107.
Consulting, E. (2010). Overcoming the barriers to
business intelligence success. Hopkinton, MA.
Dawson, L., & Van Belle, J.-P. (2013). Critical
success factors for business intelligence in the
South African financial services sector. SA
Journal of Information Management, 15(1), 1–
https://doi.org/10.4102/sajim.v15i1.545
Fairer-Wessels, F. A., & Malherbe, N. (2012).
Sustainable Urban Event Practice: The Role of
Corporate Sponsors within Gauteng. Urban
Forum, 23(1), 93–106.
https://doi.org/10.1007/s12132-011-9128-7
Feng, X. F. X., Richards, G., & Raheemi, B.
(2009). The Road to Decision-Centric Business
Intelligence. 2009 International Conference on
Business Intelligence and Financial
Engineering, 514–518.
Fernández Núñez, L. (2006). ¿Cómo analizar
datos cualitativos? Butlletí LaRecerca, 1–13.
Folinas, D. (2007). A conceptual framework for
business intelligence based on activities
monitoring systems. International Journal of
Intelligent Enterprise, 1(1), 65–80.
Fourati-Jamoussi, F., Narcisse Niamba, C., &
Niamba, C. N. (2016). An evaluation of
business intelligence tools: a cluster analysis
of users’ perceptions. Journal of Intelligence
Studies in Business, 6(1), 37–47.
Fusch, P. I., & Ness, L. R. (2015). Are we there
yet? Data saturation in qualitative research.
The Qualitative Report, 20(9), 1408–1416.
Guest, G., Bunce, A., & Johnson, L. (2006). How
Many Interviews Are Enough ? An
Experiment with Data Saturation and
Variability. Family Health International,
(1), 59–82.
https://doi.org/10.1177/1525822X05279903
Gurjar, Y. S., & Rathore, V. S. (2013). Cloud
Business Intelligence – Is What Business
Need Today. International Journal of Recent
Technology and Engineering (IJRTE), 1(6),
–86.
Hawking, P. (2013). Factors Critical To The
Success of Business Intelligence Systems.
Victoria University.
Hawking, P., & Sellitto, C. (2010). Business
Intelligence (BI) critical success factors. In
ACIS 2010 Proceedings - 21st Australasian
Conference on Information Systems (p. 11).
Herrera, E. (2011). Metodología para el desarrollo
de un sistema de inteligencia de negocios
basada en el proceso unificado. Universidad
Nacional de Colombia.
Hobek, R., Ariyachandra, T. R., & Frolick, M. N.
(2009). The Importance of Soft Skills in
Business Intelligence Implementations.
Business Intelligence Journal, 14(1), 28–36.
Karim, A. J. A. J. (2011). The value of
Competitive Business Intelligence System
(CBIS) to Stimulate Competitiveness in
Global Market. International Journal of
Business and Social Science, 2(19), 196–203.
Knoben, J., & Oerlemans, L. a. G. (2006).
Proximity and inter-organizational
collaboration: A literature review.
International Journal of Management
Reviews, 8(2), 71–89.
https://doi.org/10.1111/j.1468-
2006.00121.x
Linden, M., Felden, C., & Chamoni, P. (2011).
Dimensions of Business Process Intelligence.
th International Conference on Business
Process Management, BPM2010, 66, 208–213.
Loshin, D. (2013). Developing Your Business
Intelligence Roadmap. Business Intelligence.
Elsevier.
Mason, M. (2010). Sample Size and Saturation in
PhD Studies Using Qualitative Interviews.
Forum Qualitative Sozialforschung / Forum:
Qualitative Social Research, 11(3), Art 8.
https://doi.org/ISSN 1438-5627
Mingers, J. (2006). Management Science and
Multimetodology. In Robert L. Flood (Ed.),
Realising Systems Thinking: Knowledge and
Action in Management Science (pp. 197–255).
Springer.
Muntean, M. I. (2007). Business Intelligence
Solutions for Gaining Competitive Advantage.
Informatica Economica Journal, XI(3), 22–25.
Nemec, R. (2011). Business intelligence system
success factors in context of DeLone &
McLean’s information system success
assessment model with some application
scenarios. In 9th International Conference on
Strategic Management and its Support by
Information Systems, 2011 (pp. 105–111).
Technical University of Ostrava-VSB.
Olszak, C. (2016). Toward Better Understanding
and Use of Business Intelligence in
Organizations. Information Systems
Management, 33(2), 105–123.
https://doi.org/10.1080/10580530.2016.115594
Olszak, C. M., & Ziemba, E. (2012). Critical
success factors for implementing business
intelligence systems in small and medium
enterprises on the example of upper Silesia,
Poland. Interdisciplinary Journal of
Information, Knowledge, and Management, 7,
–150.
Ortega, I. (2013). Systematic Prevention of
Business Intelligence Project Failures.
Munich.
Ortiz, G. A. (2014). Business Intelligence or
Intelligent Business? Computer Science and
Information Technology, 2(4), 192–196.
https://doi.org/10.13189/csit.2014.020402
Pham, Q. T., Mai, T. K., Misra, S., Crawford, B.,
& Soto, R. (2016). Critical success factors for
implementing business intelligence system:
Empirical study in vietnam. In Lecture Notes
in Computer Science (including subseries
Lecture Notes in Artificial Intelligence and
Lecture Notes in Bioinformatics).
https://doi.org/10.1007/978-3-319-42092-9_43
Popescu, S. (2012). Business Intelligence
Solutions - A way of General Improvement of
Efficiency and Effectiveness. Review of
International Comparative Management, 13,
–96.
Rajterič, I. H. (2010). Overview of business
intelligence maturity models. Management:
Journal of Contemporary Management …,
(1), 47–67.
Rosado, A., & Rico, D. (2010). Inteligencia de
negocios: Estado del arte. Scientia Et
Technica, XVI(44), 321–326.
Rouhani, S., Asgari, S., & Mirhosseini, S. V.
(2012). Review Study: Business Intelligence
Concepts and Approaches. Scientific Research,
(50), 62–75.
Sakulsorn, P. (2011). In-memory Business
Intelligence In-memory Business Intelligence.
Stockholm University.
Salmasi, M. K., Talebpour, A., & Homayounvala,
E. (2016). Identification and classification of
organizational level competencies for BI
success. Journal of Intelligence Studies in
Business, 6(2), 17–33.
Sangar, A. B., & Iahad, N. . (2013). Critical
Factors that Affect the Success of Business
Intelligence Systems (BIS) Implementation in
an Organization. Int. J. Sci. Technol. Res.,
(2), 176.
SAP. (2013). SAP BI Strategy.
Serbia, J. M. (2007). Diseño, muestreo y análisis
en la investigación cualitativa.
Holográmatica, 3(2007), 123–146.
Velicanu, M., & Matei, G. (2008). A Few
Implementation Solutions for Business
Intelligence. Informatica Economica Journal,
XII(3), 138–146.
Watson, H. J., & Wixom, B. H. (2007). The
Current State of Business Intelligence.
Computer.
Yeoh, W., Gao, J., & Koronios, A. (2007). Towards
a Critical Success Factor Framework for
Implementing Business Intelligence Systems:
A Delphi Study in Engineering Asset
Management Organizations. Information
Systems, 255, 1353–1367.
Yeoh, W., & Koronios, A. (2010). Critical success
factors for business intelligence systems.
Journal of Computer Information Systems,
(3), 23–32.
Yeoh, W., & Koronios, A. (2010). Critical success
factors for business intelligence systems.
Journal of Computer Information Systems,
(3), 23–32.
Yeoh, W., Koronios, A., & Gao, J. (2006). Critical
success factors for the implementation of
business intelligence system in engineering
asset management organisations. In
Proceedings of the 1st World Congress on
Engineering Asset Management, WCEAM
(pp. 344–351).
Yeoh, W., Koronios, A., & Gao, J. (2008).
Managing the Implementation of Business
Intelligence Systems. International Journal of
Enterprise Information Systems, 4(3), 79–94.
https://doi.org/10.4018/jeis.2008070106
Yeoh, W., & Popovič, A. (2016). Extending the
understanding of critical success factors for
implementing business intelligence systems.
Journal of the Association for Information
Science and Technology.
https://doi.org/10.1002/asi.23366
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
