About Skrydata

About company

Skrydata’s process analytics makes use of automated, efficient and scalable event log and data analysis methods, as well as unsupervised and supervised learning techniques to reconstruct individual workflow instances. These instances can then be clustered to identify specific processes and their respective variants. This reveals both the regular characteristics of the processes as well as unanticipated variations among workflow instances. The toolkit also allows these results to be compared with a user specified business goal (e.g. time performance) or specific process characteristics.