Abstract
Business Intelligence systems have become one of the most widely used information systems yet their efficient and successful usage requires advanced digital skills of business users, implementation team and digital transformation of organization in general. These requirements are particularly profound in implementation of self-service business intelligence solutions. In order to evaluate factors influencing success or failure of implementation of self-service business intelligence solutions, this paper adopts a modified DeLone and McLean IS success model. The modified model emphasizes importance of organizational factors and correlates user intent and satisfaction with leading and lagging indicators characterizing the implementation. The model is applied to analyze more than a hundred business intelligence implementation projects in small and medium size companies. An in-depth analysis of one successful project and one failed project is performed. The model offers a tool for business intelligence project management teams to increase success rates, to get insights from ongoing projects, to understand past failures and to plan better work for future projects.
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Alpar, P., Schulz, M.: Self-service business intelligence, business and information. Syst. Eng. 58(2), 151–155 (2016)
Michalczyk, S. Nadj, M., Azarfar, D., Maedche, A., Gröger, C.: A state-of-the-art overview and future research avenues of self-service business intelligence and analytics. In: Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, 15–17 June (2020)
Ain, N., Vaia, G., DeLone, W.H., Waheed, M.: Two decades of research on business intelligence system adoption, utilization and success – a systematic literature review. Decis. Supp. Syst. 125 (2019)
Larson, D., Chang, V.: A review and future direction of agile, business intelligence, analytics and data science. Int. J. Inf. Manage. 36(5), 700–710 (2016)
Krey, M., Soriano Ramirez, M., Christen, M., Candreia, J.: Development of a model for the implementation of business intelligence in SMEs. In: ACM International Conference Proceeding Series, p. 61 (2022)
Bordeleau, F., Mosconi, E., de Santa-Eulalia, L.A.: Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises. Prod. Plan. Control 31(2–3), 173–185 (2020)
Spruit, M., Vroon, R., Batenburg, R.: Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Comput. Hum. Behav. 30, 698–707 (2014)
Hawking, P., Sellitto, C.: Business intelligence strategy: a utilities company case study. Int. J. Enterp. Inf. Syst. 11(1), 1–12 (2015)
Grytz, R., Krohn-Grimberghe, A., Müller, O.: Business intelligence, analytics cost accounting: an action design research approach. In: Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, 15–17 June (2020)
Yeoh, W., Popovič, A.: Extending the understanding of critical success factors for implementing business intelligence systems. J. Am. Soc. Inf. Sci. 67(1), 134–147 (2016)
El-Adaileh, N.A., Foster, S.: Successful business intelligence implementation: a systematic literature review. J. Work-Appl. Manag. 11(2), 121–132 (2019)
Azeroual, O., Theel, H.: The effects of using business intelligence systems on an excellence management and decision-making process by start-up companies: a case study. Int. J. Manag. Sci. Bus. Admin. 4(3), 30–40 (2018)
Williams, R.A., Sheikh, N.J., Duman, G.M., Kongar, E.: Critical success factors of business intelligence systems implementation. IEEE Eng. Manage. Rev. 50(4), 88–97 (2022)
Shapouri, F., Najjar, L.: Critical success factors in implementing business intelligence systems. In: 26th Americas Conference on Information Systems, AMCIS (2020)
Gaardboe, R., Svarre, T.: Critical factors for business intelligence success. In: Proceedings of the 25th European Conference on Information Systems (ECIS 2017), vol. 471 (2017)
Dinter, B., Schieder, C., Gluchowski, P.: Towards a life cycle oriented business intelligence success model. In: 17th Americas Conference on Information Systems, AMCIS (2011)
Bach, M.P., Čeljo, A., Zoroja, J.: Technology acceptance model for business intelligence systems: preliminary research. In: Procedia Computer Science, p. 995 (2016)
Gonzales, R., Wareham, J.: Analysing the impact of a business intelligence system and new conceptualizations of system use. J. Econ. Financ. Admin. Sci. 24(48), 345–368 (2019)
Popovič, A., Hackney, R., Coelho, P.S., Jaklič, J.: Towards business intelligence systems success: effects of maturity and culture on analytical decision making. Decis. Support Syst. 54(1), 729–739 (2012)
Lennerholt, C., Van Laere, J., Söderström, E.: User-related challenges of self-service business intelligence. Inf. Syst. Manag. 38(4), 309–323 (2021)
Berndtsson, M., Lennerholt, C., Svahn, T., Larsson, P.: 13 organizations’ attempts to become data-driven. Int. J. Bus. Intell. Res. 11(1), 1–21 (2020)
DeLone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003)
Cartledge, A.: Business Intelligence Trends 2020 (2020). https://wiiisdom.com/ebook/business-intelligence-trends-2020/
Adiz, I.: The Pursuit of Prime: Maximize Your Company’s Success with the Adizes Program. UNKNO (1996)
Capone, M. The Data Literacy Index (2018). https://www.qlik.com/us/-/media/files/resource-library/global-us/register/analyst-reports/ar-the-data-literacy-index-en.pdf
Muntean, M., Surcel, T.: Agile BI – the future of BI. Inform. Econ. 17(3), 114–124 (2013)
Mihăiloaie, C.: KPIs. How Many Types Are There? (2021). https://www.performancemagazine.org/kpis-how-many-types-arethere/
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Kvalberga, D., Grabis, J. (2024). Cross-section of Business Intelligence Projects: Information Systems Success Perspective. In: Řepa, V., Matulevičius, R., Laurenzi, E. (eds) Perspectives in Business Informatics Research. BIR 2024. Lecture Notes in Business Information Processing, vol 529. Springer, Cham. https://doi.org/10.1007/978-3-031-71333-0_9
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