Abstract:

The amount of data is continuously rising. It is especially the case of unstructured data that can contain a substantial information value if a business is able to capture and process it. For this reason, new technologies, methods and procedures emerged that are collectively noted as Big Data. A Big Data solution enables businesses to examine the shortcomings of conventional business information systems, especially in relation to the ability to process large volumes of various data in relevant time. The continual advances in the field of information-communication technologies are making the technical solutions still more and more accessible for the common users. This positively affects the growth in the generation of an abundance of various data. However, it also brings a higher level of efficiency and the automation of the processes on all levels of personal, social, and business environment. The data can be considered as another production factor that becomes an essential part of the decision-making processes. Regarding the complex solutions that are already coming (such as Industry 4.0, Smart City, the Internet of Things, etc.), businesses need to choose a suitable analytical platform for the sustainable processing of large amounts of data in the future. The article presents an analytical perspective of the authors regarding the course and application of Big Data solutions connected to the decision-making in businesses. To elaborate the analysis and draw conclusions, mostly secondary sources of data and case studies were used.