Currently, a lot of explanatory work is to be done in the field of process optimization, as the term ‘big data’ in particular is sometimes used in a non-transparent and incorrect way. However, it is a fact that process-mining solutions that can process huge amounts of data in real-time and additionally, considerably simplify and accelerate process optimization in connection with Business Intelligence (BI) are already available.
By continually analyzing and structuring semi-structured process data from IT-Systems, companies gain a completely new basis of decision-making and can satisfy different needs of information – starting with compliance aspects through to very concrete questions such as “How much discount do I lose with supplier XY?” In addition to aggregated and cleansed databases, which classical BI solutions exclusively use for analytics, companies can access actually running process data, analyze and adjust processes and monitor the success in real-time.
Enabling technologies such as Automated Business Process Discovery and Process Business Intelligence are already functioning big data approaches which are being used in companies. In the near future, these approaches – to different extents – will become standard solutions in companies, regardless of sector and size, as there is an inherent potential of optimization in IT data, which can be exploited with the help of process data analytics.
Market-ready Industry 4.0 applications, such as Predictive Maintenance have strongly directed the focus of the manufacturing industry towards production IT: Machines and means of production which independently exchange information, which operate each other and maintain themselves autonomously are making factories increasingly smart. IT and production mingle, automatize production processes and change business relations between employees, customers and suppliers. Producing companies that want to benefit from the blessings of digitalization should not only connect their production IT. In order to make the right information available in the right place and at the right time, they also need to ensure a secure cooperation along the entire value-added chain. In industry, there is hardly anything as disadvantageous as a poor quality of products and an interruption of production processes. Both lead to losses in production and revenue. Since IT entered the field of production, more and more companies have been using intelligent software solutions in order to minimize production- and process-related difficulties. At the same time, with Industry 4.0, users have been aiming to improve the capacity utilization in factories and fulfill individual customer wishes more quickly.
Thus, the optimization of production processes also has an effect on the way of working of everyone involved: the production worker, who cooperates with different departments, the supplier, who provides the right material in the quality required, the shipper, who transports the goods on schedule, and, of course, on the customer, whose individual wishes are taken into account throughout the whole production process.