Case study on Decision Support in Planning through Predictive Analytics: Optimizing Forecasts and User Interface in SAP Analytics Cloud for Equinor

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.