South Korea-based Puzzle Data is a relatively new entrant in the Process Mining software market. The customer base includes companies in manufacturing, transportation, retail, mobile gaming and public institutions like hospitals and Korea’s Supreme Prosecutors’ Office. Puzzle Data’s ProDiscovery solution is made up of around 30 widgets (“puzzles”) that can be individually configured and added to any dashboard. While a Conformance Checking functionality is still in development, ProDiscovery offers sophisticated widgets for process discovery, statistical analyses, social networks and organizational graphs. Dashboards can be shared with users in the same organization. The architecture is designed for Big Data processing and is built on the open-source environments Apache Hadoop, Spark and the Elasticsearch engine.
Puzzle Data Co., Ltd. (Seoul and Pohang, South Korea)
SaaS , On-Premises
2.0.42 (SaaS) - Tested in 04/2020
Import File Types
JDBC drivers, e.g. Oracle
Integrated ETL Functionality
Data Anonymization & Pseudonymization
Data Refresh: Incremental data loading, appending new data to an existing set of data
Scheduled Jobs = Automatic data loading in defined time intervals
Data Refresh , Scheduled Jobs
Scheduled Jobs upon request
UTF-8 compatibility tested with special characters and various languages: Korean, Japanese, Trad. & Simplif. Chinese, Hebrew, Arabic, Russian
UTF-8 (verified ), EUC-KR
Case-level , Event-level
Specify Business Hours
Working week , Multiple shifts/day , Exclude days , Holiday calendar
Holidays can be defined by the administrator
Define Event Order
Manual definition of event ordering in case of identical timestamps. This criterion does not consider automatic ordering by the tool.
By selected column, by custom sequence of activities
» Process Graph
As-Is Process Visualization
Directly-Follows Graph (horizontal, vertical)
Additional Heuristics Miner available with adjustable thresholds
Export As-Is Process Graph
For data exports (e.g. CSV) see “Export Reports” criterion
Visual highlighting of process bottlenecks
Active time , Idle time
Process Animation (Replay)
Adjust speed , Adjust timeframe , Switch time mode , Zoom in case
Search and Filter in Graph
Search and find activity names (relevant for spaghetti-like graphs)
Filter activities/transitions directly from graph
Search , Filter
Activity frequency, Case frequency, Paths ratio
Paths ratio = # of arc / total # of arc
The term “duration” is used when both active and waiting/idle times can be displayed
Additional Graph Metrics
Cost metrics , Custom metrics
» Process Analysis & Analytics
Visual comparison , Metric comparison
Process Benchmarking (Different Logs)
Visual comparison , Metric comparison
Root Cause Analysis
Variant Breakdown by
“Duration” refers to the case throughput time
Case count, event count, unique activity count, case-level performance (duration, active time, waiting time)
Aggregation for sorting by time: min/max/avg/med/std.dev
Case and Activity List
Activity List , Case List , Case List for Variants
View Case Details
From-to activities: List of ingoing and outgoing activities for any selected activity
List of all transitions , From-to activities
Compare As-Is and Target Process
Target Model Creation
Import model , Auto-create from as-is , Create new
Disclaimer: The timeliness of provided information is based on the tested version and date as stated under “Tested Version”. No guarantee can be given about the correctness and accuracy of the information contained.
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