QPR ProcessAnalyzer Wiki

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QPR ProcessAnalyzer

Welcome to QPR ProcessAnalyzer Wiki! QPR ProcessAnalyzer is a software for turning event and transactional data into visual process analysis and intelligence. Topics in this documentation are divided based on user roles for process analysts, developers and administrators.

For Process Analysts

QPR ProcessAnalyzer is used via web browser. In QPR ProcessAnalyzer application you can perform various analyses on your process model.

Getting Started

• Getting Started with QPR ProcessAnalyzer
• Introduction to Process Mining
• Process Mining Core Concepts
• Language and Localization Settings
• QPR TaskRecorder
• Online Learning Platform

Working with Dashboards

• Navigation Menu Functions
• Project Workspace: Projects, Dashboards, Models, Datatables, Scripts, Recycle Bin
• Using Filters
• Creating Dashboards
• Dynamic Variables in Dashboards
• Business Calendar for Duration Calculation
• Best Practices for Designing Dashboards

Analyses and Visualizations

• Chart / Big Data Chart
  • Graphic Charts
  • Table
  • Pivot Table
  • KPI Card
  • Measure Settings
  • On-screen Settings
  • Linked Settings
• Process Flowchart

• Label and Link
• Image
• Filter Selectors / Dropdown List Selector
• Root Causes Analysis
• Conformance Analysis
• BPMN Editor
• Clustering Analysis
• Gantt Chart
• Sankey Chart

For Developers

To build QPR ProcessAnalyzer models, you need to extract data from source systems, transform it to an eventlog format and finally load to process models. To perform these tasks, you can use the ETL scripting platform that is part of QPR ProcessAnalyzer. When the model is created, users can start analyzing and create dashboards.

Expression Language

• SQL Expressions for Snowflake
• In-memory expressions: Basic Syntax and Operations / Generic Functions
• Generic types (Generic Properties, Array, DateTime, String, Timespan, Dictionary)
• In-memory models API (AttributeType, Case, Event, EventLog, EventType, Flow, FlowOccurrence, Variation)
• Configuration objects (Datatable, Model, Filter, Script, Project, User/Group)
• Tabular data types (DataFrame, SqlDataFrame, DataFlow)
• Machine Learning API / Conformance Checking
• Filtering Model Data

Create Process Mining Models

• Creating Process Mining Model
• Importing Data from CSV, XES and PACM files
• Calculated Case and Event Attributes
• Email Notifications
• Model datasources (Datatable, Loading Script, ODBC)
• Case Level Permissions
• Anonymize data
• Keeping Models Always Available
• Best Practices for Designing Models
• Event Ordering for Identical Timestamps
• Time Zones and Local Time

Data Integrations and Connectors

• Managing Scripts in Workspace
• Writing SQL Scripts
• SQL Scripting Commands Reference
• Secure Strings for Storing Secrets
• Installing and using QPR ScriptLauncher
• How to Import Data from SAP
• Expression Script Examples
• QPR ProcessAnalyzer REST API
• Sample Eventlogs

For System Administrators

QPR ProcessAnalyzer requires installing QPR ProcessAnalyzer Server hosted in IIS and two SQL Server databases. All functionality is available in the web UI without any additional components in workstations. If there is a need to access on-premise source systems to extract eventlog data, QPR ScriptLauncher needs to be installed.

Planning Installation

• System Requirements
• System Architecture
• User Session Management
• QPR ProcessAnalyzer Release Notes
• QPR TaskRecorder Release Notes

Installing and Configuring

• Install QPR ProcessAnalyzer Server (or update existing)
• Configure Snowflake Connection
• Setting up SQL Scripting Sandbox
• SAML 2.0 Authentication
• Security Hardening
• Server Manual Activation

Administrating System

• User Permissions General Information
• How to Manage Users, Groups and Roles
• Configuration Table in Database
• Logs for Audit Trail and Troubleshooting
• Memory Management Settings

Agreements

See the QPR End User Software License Agreement and QPR Software as a Service Agreement.