Determinants of the use of predictive models in the management of investment portfolios, on the example of KGHM Polska Miedź S.A.

Abstract

The authors present the determinants of the use of predictive analysis to support decision-making processes in the area of investment project portfolio management. The requirements are analyzed on the example of investment project portfolios of a mining company. The research is complemented by the description of already conducted tests, where predictive models have been created to determine most effective algorithms and key project attributes allowing to predict possible budget deviations. The proposed requirements for the implementation of the predictive analysis can be applied in other organizations managing projects according to project management methodologies with access to structured project data.