ProDiscovery

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.

Tool Name

ProDiscovery

Vendor

Puzzle Data Co., Ltd. (Seoul and Pohang, South Korea)

Company Size

11-50 employees

Free Trial

Upon request

Licenses

Commercial

Deployment

SaaS

, On-Premises

Embedded In

–

Tested Version

2.0.42 (SaaS) - Tested in 04/2020

Import File Types

CSV, TXT

Database Connections

JDBC drivers, e.g. Oracle

Adapters/Connectors

Adobe Analytics

Integrated ETL Functionality

Data Anonymization & Pseudonymization

Data Loading

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

Character Encodings

UTF-8 compatibility tested with special characters and various languages: Korean, Japanese, Trad. & Simplif. Chinese, Hebrew, Arabic, Russian

UTF-8 (verified

), EUC-KR

Attribute Types

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

Start/End Timestamp

2 timestamps

» 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

PNG, SVG

Performance Highlighting

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

Graph Abstraction

Frequency Metrics

Activity frequency, Case frequency, Paths ratio

Paths ratio = # of arc / total # of arc

Time Metrics

The term “duration” is used when both active and waiting/idle times can be displayed

Avg/med duration

Additional Graph Metrics

Cost metrics

, Custom metrics

» Process Analysis & Analytics

Process Benchmarking

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

Rework Analysis

Edge/Transition 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

In-Graph Conformance Visualization

List of Compliance Violations

Four-Eyes Principle

Sequence Filtering

“(Not) Directly followed by” filtering

Conformance Root Cause Analysis

Alert Generation

Predictive Analytics

Recommendations (Prescriptive Analytics)

Organizational Mining

Scenario Simulation

Decision Rule Mining

Export Reports

Events (MXML, TXT), Cases (CSV), Variants (XML, PNG, SVG)

Export Charts and Tables

Custom Dashboards

Custom charts

, Custom tables

Custom Metrics/KPIs

KPI Thresholds

Deviation from defined thresholds can be detected through color differentiation

Advanced Charts

Dashboard offers >5 different chart types

World Map

Latitude & longitude coordinates

, Location by attribute (e.g. country codes, city names)

Save Filter Settings

UI Languages

English, Korean

Share & Collaborate

Share selection

; Dashboard sharing; Memo widget for comments

Role-Based Access

User Authentication

Basic

Audit Logs

Distinctive Focus and Features

Process analytics: ProDiscovery’s “puzzle” library includes sophisticated widgets with various chart types that allow the user analyze the process from many dimensions.
Big Data processing: Puzzle Data’s solution is designed to process large datasets, being built on the open-source environments Apache Hadoop, Spark and Elasticsearch.

Explore ProDiscovery

I’m a vendor. Submit a change request.

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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