An optimal inter-upgrade time: a case study of business intelligence software
Journal of Decision Making and Healthcare, Volume 3, Issue 1, April 2026, Pages: 32–38
Indriati Njoto Bisono
Industrial Engineering Department, Petra Christian University, Surabaya, Indonesia
Martinus Mariyanto
International Business Engineering Program, Petra Christian University, Surabaya, Indonesia
Hanijanto Soewandi
MicroStrategy, Tysons Corner, VA, USA
Abstract
This study investigates the strategic timing of software upgrades within large-scale organizations, specifically focusing on Business Intelligence (BI) systems. By analyzing a major industrial case study in Indonesia, we examine the transition from legacy web-based systems to mobile-first (tablet) architectures. We propose a mathematical model to determine the optimal inter-upgrade interval, balancing setup and testing costs against operational benefits. Assuming planning horizons of 10 years, our model suggests an optimal upgrade frequency of 2.5 years. These findings provide a quantitative framework for Information Systems (IS) executives to balance fixed infrastructure setup costs against the variable human capital costs of testing, facilitating more informed and cost-effective technological lifecycle management.
Cite this Article as
Indriati Njoto Bisono, Martinus Mariyanto and Hanijanto Soewandi, An optimal inter-upgrade time: a case study of business intelligence software, Journal of Decision Making and Healthcare, 3(1), 32–38, 2026