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 a mean 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 was conducted 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 contribute to 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), 107–127.
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. 55–65).
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), 37–48. https://doi.org/10.3233/978-1-60750-577-8-37
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), 1–12. 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, 18(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), 81–86.
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.1468-2370.2006.00121.x
Linden, M., Felden, C., & Chamoni, P. (2011). Dimensions of Business Process Intelligence. 8th 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/10.1080/10580530.2016.1155946
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, 129–150.
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, 88–96.
Rajterič, I. H. (2010). Overview of business intelligence maturity models. Management: Journal of Contemporary Management …, 15(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(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(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, 50(3), 23–32.
Yeoh, W., & Koronios, A. (2010). Critical success factors for business intelligence systems. Journal of Computer Information Systems, 50(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 2006 (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
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