Abstract
ABSTRACT
This master's thesis aims to explore the predictive and planning capabilities in SAP Analytics
Cloud (SAC) and how the usability of SAC helps to optimize decision-making for the Finance &
Control function (F&C) in Equinor. This study is looking for improving the accuracy of
predictions by recognizing principles within predictive analytics. It aims to provide insight into
how they are affecting the decision-making processes.
Predictive analytics play a critical role in modern business operations, especially in sectors such
as the oil and gas industry (Aghoa et al., 2023). In this context, the decision-making process that
follows the prediction analysis is important. Decision making is a key component in how
organizations respond to the forecasts generated by predictive analytics. The interpretation of
these forecasts and the ability to draw conclusions and actions based on them is what this thesis
would like to explore.
Through a case study and analysis, this study will help to show how the predictions influence
decision-making within this sector. By focusing on a practical case study, this thesis aims to
contribute to the literature on the effective utilization of predictive analytics in an organizational
context.