ProDiscovery is an essential analysis tool in the digital transformation era, enabling customized analysis for each customer through dashboards, free analysis using puzzles, support for multi-user and cloud services, big data processing and web-based solutions, and drill-down analysis with powerful filter functions.

Various analysis tools and dashboard configurations
  • Comprehensive review of analysis via dashboard
  • 30 analytical visualization tools (puzzles) for a wide variety of analyses
  • Specific data downloaded for further analysis from other BI tools
Process comparison and robust filter functionality
  • Process comparison using the Conformance Check function available
  • Drill-down analysis using 6 powerful filters available
  • Full filtering within dashboards and individual analysis puzzle filter applications available
Support multi-user and cloud services
  • NameUser based Individual users can analyze independently
  • Dashboard sharing allows users to share data analysis results
  • Enables cloud services for public or private cloud environments


Big Data
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.
Customized 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.
Various Analyses
Various puzzles capable of executing various functions such as process map, process analysis, social network and statistics analysis are offered. Based on such diverse puzzles, the user can run majority of the desired analysis with just one click, without restrictions.
Drilldown Filters
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.


ProDiscovery Demo

Customer management

This data is customer’s itinerary data in Internet shopping mall (web market). It analysis which process the customer undertakes in a shopping mall to purchase goods or how the customer deviates.


This data demonstrates the movement of logistics within the plant. It analyzes from which plant to which plant the logistics within the plant takes place and which process it undergoes to be moved and loaded.


This data displays the patient’s medical processes in a given hospital. It covers the process from the patient’s arrival to the hospital to registration, treatment, examination, and discharge.


This data shows the process of handling the customer’s request for home repair. It deals with the process of handling the request for repair received from the customer.