Empirical Study of Using Big Data for Business Process Improvement at Private Manufacturing Firm in Cloud Computing

The implementations of new technologies have been broadly accepted by multiple industries in recent years, such as big data and cloud computing. A quick and efficient data mining has become an alternative of creating values and improving business processes for many enterprises. However, the dynamic economic context and continuous changing business environment have driven numerous demands and applications in various industries. This phenomenon results in the problem of forming proper strategies in applying big data and cloud computing, which is one of the major challenges of reach the goal of value creations for current enterprises. This paper focuses on this problem and presents an empirical study on the issue of using big data for business process improvements in cloud computing. The investigation target is a Chinese large-size private enterprise that is strives to be a global enterprise in the manufacturing industry. The completed research is based on the real data collected from the collaboration partner. The main findings of this research include two parts: 1) the efforts of using big data are varied, which are related to the operation levels; 2) implementing cloud computing solutions is at an exploring stage for Chinese private sector due to a few restrictions.