The application of data analysis techniques promises innovative and valuable insights into industrial processes. Those processes can be managed via process engines, which also collect large amounts of data, relevant to the respective process. To reduce the complexity of the large amounts of data and to support users gaining new process knowledge, also from streaming data in an online fashion, a visual analytics approach seems promising. The presented concept combines the process engine with interactive process-driven visual data analysis and gives an outlook on how a prototype, for industrial process understanding, will be implemented.
|Title of host publication||Proceedings of the 10th International Conference on Professional Knowledge Management|
|Number of pages||4|
|Publication status||Published - 2019|