Big Data Analytics and Visualization Solutions in Industry: a Literature Review

Big Data (BD) and Big Data Analytics (BDA) offers industrial companies the opportunity to harness the full potential of data to improve business operations, increase customer satisfaction, and maintain a competitive advantage in their reference market. On the other hand, it is crucial to easily and appropriately use and read data and information. Therefore, data visualization solution plays a crucial role when dealing with large amounts of data. However, industrial organizations still strive to improve their strategic business management and decision-making due to the challenging design of data visualization solutions, eventually supported by user-friendly interfaces and systems. They often struggle in considering the right practices, techniques and tools for visualizing data. They require guidance in effectively discovering, comprehending, and leveraging the available data. Based on these needs of investigation, this paper delves into the relationship between data management and visualization, through digital technologies. It aims to light up the current state of the art related to the most important solutions adopted in industries for managing and visualizing BD. To achieve this goal, a systematic literature review has been carried out on BD, BDA and visualization solutions in smart industry. The paper maps the most important tools, techniques and methods adopted for appropriately visualize data. Also, it considers behavioural need of humans to process information. The paper implies benefits for both academics and practitioners, due to its ability to map useful solutions that extend the literature and give a more informed overview to companies dealing with BD visualization issues.