Improving Decision Making in an ISP through Business Intelligence


  • Christopher Moturi School of Computing and Informatics University of Nairobi Kenya
  • Kendi Mutungi School of Computing and Informatics University of Nairobi Kenya


Business Intelligence, ISP, Internet Service Provider, ISP Service Management, Predictive Analytics, Predictive Model


In order to attract subscribers and increase revenue in a very competitive   Internet Service Provider (ISP) industry, the players make great effort to improve their service management. The ability to make effective decisions is crucial to survival in this dynamic business environment. This paper proposes a Business Intelligence Model for ISPs in Kenya to assist management in developing effective service management strategies.


The needs and critical information requirements of the senior management of a leading ISP in Kenya were identified by conducting interviews. Using SAP Business Objects and SPSS, the Business Intelligence model was developed for verification. We explored customer usage characteristics and preference knowledge by examining monthly volume usage and the cost of bandwidth using data form the ISP covering a period of four months. Embedded OLAP tool was used to identify patterns to determine the usage value of customers. Customers were divided into clusters identifying customer value which enabled the senior management in the organization to develop direct and effective marketing strategies. Based on the model, senior management was able to learn from the past and forecast the future. The model improved information flow, increased the speed and quality of key marketing and sales decisions in the organization.


Altmann, J., Goel, D. (2006). Economizing ISP Interconnections at Internet Exchange Points. Transactions of the SDPS, 10(4).

Anandarajan, M., Anandarajan, A. & Srinivasan, C.A. (2004). Business Intelligence Techniques: A Perspective from Accounting and Finance. Springer-Verlag, Heidelberg.

Berry, M.J.A. and Linoff, G.S. (2004). Data Mining Techniques. John Wiley & Sons

Cody, W.F., Kreulen, J.T., Krishna, V. Spangler, W.S. (2002). The Integration of Business Intelligence and Knowledge Management. IBM Systems Journal, 41(4), 697-713.

Cooper, L.F. (2102). International Business Intelligence and Analytics Survey. BizTechReport.

Gartner (2012). Business Intelligence & Information Management.

Gartner (2011). BI Platforms User Survey, Gartner Business Intelligence Reports.

Jui-Yu Wu (2010). Computational Intelligence-Based Intelligent Business Intelligence System: Concept and Framework. Proceedings of the 2nd International Conference on Computer and Network Technology, ICCNT, 334-338.

Li, S.-T., Shue, L.-Y., and Lee, S.-F. (2008). Business Intelligence Approach to Supporting Strategy-making of ISP Service Management. Expert Systems with Applications (SCI), 35(3), 739–754.

Liautand, B. (2001). E-Business Intelligence: Turning Information into Knowledge into Profit. Mc-Graw Hill, USA.

Normile, C. (2008). Business Intelligence for the Telecommunications Industry Ingres. Corporation, California, USA.

Oliveira, M. C. F., & Levkowitz, H. (2003). From visual data exploration to visual data mining:

A Survey. IEEE Transactions on Visualization and Computer Graphics, 9(3), 378–394.

Olszak, C. and Ziemba E. (2007). Approach to Building and Implementing Business Intelligence Systems. Interdisciplinary Journal of Information, Knowledge, and Management, 2, 135-148.

Oracle Corporation (2006). Customer Loyalty: The New Competitive Advantage. VoIP Research Librar.

Roth, M. A., Wolfson, D. C., Kleewein, J. C. & Nelin, C. J. (2002). Information integration: a New Generation of Information Technology. IBM Systems Journal, 41(4), 563-577.

Sittha, S. and Siriluck, R. (2010). Internet Bandwidth Network Quality Management: The Case Study of Telecom Organization of Thailand. World Academy of Science, Engineering and Technology, 40, 509-515.

Yeoh, W. and Koronios, A. (2009). Critical Success Factors for Business Intelligence Systems, Journal of Computer Information Systems, 50(3), 23-32.

Wiig, K.M. (1993). Knowledge Management Foundations: Thinking about Thinking – How People and Organizations Create, Represent, and Use Knowledge. Knowledge Management

Series, Arlington, TX: Schema Press.

Wiig, K. M. (1997). Knowledge Management: An Introduction and Perspective. Journal of

Knowledge Management, 1(1), 6-14.




How to Cite

Moturi, C., & Mutungi, K. (2013). Improving Decision Making in an ISP through Business Intelligence. Asian Journal of Business and Management, 1(2). Retrieved from