ABSTRACT
Data coming from various sources and in different forms is a key component of Industry 4.0 systems. Capgemini introduced a widely accepted threefold taxonomy for business analytics in 2010, including descriptive, predictive and prescriptive analytics. The advent of Industry 4.0 technologies meant that the number of available data sources has increased greatly and the emergence of the Industrial Internet of Things delivered new sensors that collect real-time manufacturing data in quantities that were not possible to achieve before. Industry 4.0 gives new opportunities to monitor and understand how products perform under real-world usage conditions. Traditional manufacturing focused on structured data, i.e., management data and equipment data of sensor values from SCADA systems that are often stored in Relational Database Management Systems. Data visualisation is aimed at helping to convey and communicate knowledge through graphical means, which was discovered during the data processing and data analysis phases.
