Uncover hidden knowledge in your data.
Process mining is the task of visualizing and analyzing the processes as they actually are based on the data existing in the organization. Insights gained from process mining can be of significant advantage to the organization. The quality of process mining results depends on two elements, the quality and quantity of available data, and the method and technology used to analyze this data.
The mining method used by DCR utilizes the same declarative rule-based method known from DCR process modelling, but with mining you don’t create the rules and condition, you uncover them. The results produced by DCRs declarative process mining approach have been internationally noticed. In 2021 DCR receiving the award for best process discovery algorithm, at the international ICPM process mining conference, and receive an honorable mention in the first ever Magic quadrant report for process mining, published by Gartner in 2022.
With the method and technology in place, the next necessary ingredient is data quality. The DCR mining engine can analyze any data created by the DCR process digitization engine, and also preconfigured to receive and analyze data from a list of standard system connectors, built by DCR.
The DCR process mining engine is fully capable of analyzing data without use of a standard connector, given that the right compilation, volume and quality of data is available. With this qualified any process mining initiative can move forward to analysis.