USING BIG DATA TO ANALYZE AND PREDICT MANAGEMENT DECISIONS: THE EXAMPLE OF SINOPEC GROUP AND SAMRUK-KAZYNA GROUP COMPANIES

Abstract

With the rapid development of digital technologies and increasing uncertainty in the world, the use of big data is becoming a key tool for improving the quality of management decisions in large organizations.

Modern companies, especially in key industries, face the need to quickly analyze large amounts of diverse information to predict risks, optimize resources, and ensure sustainable development. In this context, the analysis of management decisions based on big data becomes particularly important.

Large state-owned holdings such as Sinopec Group in China and Samruk-Kazyna JSC in Kazakhstan play a key role in national economies and have a complex multi-level management system.. Although digital technologies have been actively used recently, the methods of analyzing and predicting management decisions using big data in such companies still do not have a clear system and cannot be compared between countries. This makes it necessary to conduct research based on real corporate examples.

As part of this work, we aim to explore the potential and effectiveness of using big data to analyze and predict management decisions using the example of Sinopec Group and Samruk-Kazyna Group.