QPR ProcessAnalyzer Wiki: Difference between revisions
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* [[Filtering_in_QPR_ProcessAnalyzer|Using Filters]] | * [[Filtering_in_QPR_ProcessAnalyzer|Using Filters]] | ||
* [[QPR ProcessAnalyzer Dashboard Designer|Creating Dashboards]] | * [[QPR ProcessAnalyzer Dashboard Designer|Creating Dashboards]] | ||
* [[Business Calendar|Business | * [[Business Calendar|Business Calendar for Duration Calculation]] | ||
* [[Dashboard Variables|Dynamic Variables in Dashboards]] | * [[Dashboard Variables|Dynamic Variables in Dashboards]] | ||
* [[Best Practices for Designing Dashboards|Best Practices for Designing Dashboards]] | * [[Best Practices for Designing Dashboards|Best Practices for Designing Dashboards]] |
Revision as of 09:45, 22 December 2022
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
Working with Dashboards
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
- Basic Syntax and Operations / Generic Functions
- In-memory model 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)
- SQL Expressions for Big Data Chart
- Machine Learning API / Conformance Checking Functions
- Filtering Model Data
Manage Data Models
- Creating Process Mining Model
- Exporting and Importing Data
- Email Notifications
- Calculated Case and Event Attributes
- Model datasources (Datatable, Loading Script, ODBC)
- Keeping Models Always Available
- Case Level Permissions
- Event Ordering for Identical Timestamps
- Time Zones and Local Time
- Anonymize data
- Best Practices for Designing Models
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, which don't require any installations. If there is a need to access on-premise source systems to extract eventlog data, QPR ProcessAnalyzer ScriptLauncher needs to be installed.
Planning Installation
Installing and Configuring
Agreements
See the QPR End User Software License Agreement and QPR Software as a Service Agreement.