Statistics information such as executed work, worker, start date and end date gathered from various data channels such as DB, TXT, XLS are provided so that it can be seen at a glance.

ProDiscovery enables quick data processing by connecting with various big data platform such as Apache Hadoop, Spark and Elastic Search. It receives large capacity log data from MES, EROP and others and with just a few clicks, it can be mapped according to the process mining, enabling convenient analysis.

The desired dashboard can easily be created without limit in the desired dataset for analysis. The user can include the filter that the user wants and the puzzle that the user wants in the form that the user wants based on the data that the user wants in each dashboard.

With three filters as basic (case filter, event filter, relation filter), the user can include only the desired data or remove unwanted data. Data analysis can be carried out according to the standard that has been set by the user such as process that includes work that has been executed within a specific time or specific work and work that has occurred more than a certain number of times.

The result of data analysis can be shared with one’s members by sharing and receiving dashboards. Through it, the briefing on analysis and result of analysis can be shared and flawless communication can be achieved easily, without being restricted to the respective environment.