Assessing the Evaluation Models of Business Intelligence Maturity and Presenting an Optimized Model

Document Type: Original Research


1 Faculty Member of Information Technology Management Group, Shahid Beheshti University, Iran

2 Faculty Member of Information Technology Management Group, Shahid Beheshti University, Tehran, Iran

3 MA. Student, Department of Information Technology Management, Shahid Beheshti University


The main purpose of this study is to present a new Business Intelligence Maturity Model according to the prior models and their available components to review the level of Business Intelligence maturity in organizations. The business maturity helps all organizations to get safe and effective operations without extra troubles and, executive expenses and trial & error through reporting and data analyzing. Today we can strongly claim that applying the business intelligence solution in an organization makes it more powerful and discriminates it from the others by the increase in competitiveness. This solution causes organizations to use competitive advantages and pioneer through available information. This is a practical research in which we use a survey descriptive method and matter. The result of the study is to create a new model in order to study the level of business intelligence maturity in the banking industry which has maturity levels including initial, immature, controlled, managed and mature, and effective infrastructures on BI system which contains technology, organizational culture, and rules.


Abdari, T., Esfandiani, MR (2013). “A review on Business Intelligence system in insurance industry”, Supply Chain Management Quarterly, no40.
Adelman, S., Moss, L (2000). "Data Warehouse Project Management". Addison-Wesley, Upper Saddle River, NJ.
Browning, BL and Browning, SR. (2007). "Efficient multilocus association mapping for whole genome association studies using localized haplotype clustering", Genet Epidemiol. 2007; 31:365–375.
Cates, J.E., Gill, S.S., Zeituny, N. (2005): The Ladder of Business Intelligence (LOBI): a framework for enterprise IT planning and architecture. International Journal of Business Information Systems, vol. 1, no. 1-2, pp. 220-238.
Chuah M-hooi. (2010). "An Enterprise Business Intelligence Maturity Model (EBIMM): Conceptual framework”. Knowledge Creation Diffusion Utilization Journal 2010:303-308.
Chuah, Min-hooi & Wong, Kee-Luen. (2011). A review of bisiness intelligence and its maturity models. African Journal of Business Management, 4 May, Vol. 5(9), pp 3424-3428.
Davenport, T. H. & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning, Harvard Business School Press.
Deng, R. (2007). ‘Business Intelligence Maturity Hierarchy: A New Perspective from Knowledge Management’, Information management, viewed on 24. April 2009, infodirect/20070323/1079089-1.html.
Eckerson, W. (2007b). TDWI Benchmark Guide: Interpreting Benchmark Scores Using TDWI’s Maturity Model, TDWI Research, viewed on 25. April 2009, _Final.pdf
Gartner. (2007). Business intelligence & information management .http//, Sydney, Australia.
Glancy, F. H., Yadav, S.B. (2011). Business Intelligence Conceptual Model. International Journal of Business Intelligence Research, no 2(2), pp. 48-66.
Hagerty J. (2006). “AMR Research’s Business Intelligence / Performance Management Maturity Model“, Version 2. Most. 2006.
Hatcher, D. and Prentice, B. (2004). The Evolution of Information Management, Business Intelligence Journal, 9 (2), pp. 49-56.
Hawking, P., (2011), "Towards Business Intelligence Maturity", European Journal for Informatics Profession, 12(3) July, 20-28.
Hocevar, B., Jaklic, J., (2010). Assessing benefits of business intelligence systems. Journal of Management, Vol.151, pp.87-119.
Jordan, J. Ellen, C. (2009). Business need, data and business intelligence. Journal of Digital Asset Management, 5(1).
Kasnik A (2008). ‘Model optimization infrastructure’, internal material of ZRSZ, Ljubljana.
Lahrmann, G. Marx, F. Winter, R. Wortmann, F. (2011). “Business Intelligence Maturity: Development and Evaluation of a Theoretical Model”, in Proceedings of the 44 Hawaii International Conference on System Science, 2011.
Li JJ, Poppo L, Zhou KZ. (2008). Do managerial ties in China always produce value? Competition, uncertainty, and domestic vs. foreign firms. Strateg Manage J; 29(4): 383-400.
Lönnqvist, A., Pirttimäki, V. (2006). “Measurement of Business Intelligence”, forthcoming in Information Systems Man-agement in the Winter 2006 issue.
Lu, H. & Zhou, A. (2000). Web-Age Information Management .Berlin: SpringerVerlag.
Packard, H. (2007). The HP Business Intelligence Maturity Model., viewed on 21 April 2009, <>.
Paulk, MC, Curtis, B, Chrissis, MB & Weber, CV (2006). Capability Maturity Model for Software, Version 1.2, Software Engineering Institute/Carnegie Mellon University.
Pirttimaki, Virpa (2007). "Business Intelligence as a Managerial Tool in Large Finnish Companies", at Tampere University of Technology, on the 12th of January 2007.
PMI, ‘Organizational Project Management Maturity Model (OPM3)’, 2003.
Rajteric, Irena Hribar (2010). OVERVIEW OF BUSINESS INTELLIGENCE MATURITY MODELS. Management: Journal of Contemporary Management Issues, Vol.15 No.1 Lipanj 2010: 47-67.
Rayner, N. et al. (2008). Maturity Model Overview for Business Intelligence and Performance Management, Gartner Inc. Research, viewed on 20. February 2009,
Sacu, C. Spruit, M (2010). BIDM: The Business Intelligence Development Model. Proceedings of the 12th International Conference on Enterprise Information Systems, Funchal, Madeira-Portugal.
SAS (2011). “Information Evaluation Model”,, Retrieved September.
Shaaban, Essem. And et al. (2011). Business Intelligence Maturity Models: Toward New Integrated Model. The International Arab Conference on Information Technology (ACIT ’11), Organized by Naif Arab University for Security Science (NAUSS), Riyadh, Saudia Arabia, Dec., 11-14, 2011.
Sholoo, Arisa (2013). "The Role of Business Intelligence in Organizational Decision-making", LIMAC PhD School, Department of IT Management.
Tan, Chee-Sok, Sim, Yee-Wai and Yeoh, William (2011). A Maturity Model of Enterprise Business Intelligence, Communication of the IBIMA, Vol. 2011, no. 417812, pp. 1-11.
Wells, D. (2008). ‘Business Analytics – Getting the Point’, viewed on 31. March 2009,
Williams, S. and Williams, N., (2007), “The Profit Impact of Business Intelligence”, Morgan Kaufmann, New York.