QPR ProcessAnalyzer Wiki

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QPR ProcessAnalyzer

Welcome to QPR ProcessAnalyzer Wiki! QPR ProcessAnalyzer is your tool for turning event and transactional data into visual process intelligence. Topics in this documentation are divided based on user roles: process analysts, developers and administrators. For an introduction, read Getting Started and Introduction to QPR ProcessAnalyzer sections.

For Process Analysts

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

Introduction and General

• Getting Started with QPR ProcessAnalyzer
• QPR ProcessAnalyzer Core Capabilities
• Process Mining 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
• Business Calendar for Duration Calculation
• Dynamic Variables in Dashboards
• Best Practices for Designing Dashboards

Analyses and Visualizations

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

• Process Flowchart
• Label and Link
• Image
• Root Causes Analysis
• Conformance Analysis
• BPMN Editor
• Clustering Analysis
• Dropdown List Selector
• 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.

KPI Expression Language

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

Manage Data Models

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

Data Integrations and API's

• Managing Scripts
• Running and Calling Scripts
• SQL Scripting
• SQL Scripting Commands
• Expression Script Examples
• Secure Strings
• QPR ScriptLauncher
• QPR ProcessAnalyzer API
• Importing Data from SAP
• 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 Principles
• QPR ProcessAnalyzer Release Notes
• QPR TaskRecorder Release Notes

Installing and Configuring

• Install QPR ProcessAnalyzer Server (or update existing)
• Install QPR ScriptLauncher
• Configure Snowflake Connection
• SAML 2.0 Authentication
• Server Manual Activation
• Server Security Hardening

Administrating System

• Roles and Permissions General Information
• How to Manage Users and Groups
• Configuration Table in Database
• Logs in QPR ProcessAnalyzer
• Memory Management Settings

Agreements

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