QPR ProcessAnalyzer Wiki: Difference between revisions
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* [[Email Notifications|Email Notifications]] | * [[Email Notifications|Email Notifications]] | ||
* [[QPR ProcessAnalyzer Model Datasources|Model datasources]] ([[QPR ProcessAnalyzer Model Datasources#Loading Data from Datatables|Datatable]], [[QPR ProcessAnalyzer Model Datasources#Loading Script|Loading Script]], [[QPR ProcessAnalyzer Model Datasources#ODBC_Datasource|ODBC]]) | * [[QPR ProcessAnalyzer Model Datasources|Model datasources]] ([[QPR ProcessAnalyzer Model Datasources#Loading Data from Datatables|Datatable]], [[QPR ProcessAnalyzer Model Datasources#Loading Script|Loading Script]], [[QPR ProcessAnalyzer Model Datasources#ODBC_Datasource|ODBC]]) | ||
* [[Case Level Permissions|Case Level Permissions]] | * [[Case Level Permissions|Case Level Permissions]] | ||
* [[Anonymize data|Anonymize data]] | * [[Anonymize data|Anonymize data]] | ||
* [[Automatic Model Loading on Server Startup|Keeping Models Always Available]] | |||
* [[Best_Practices_for_Designing_Models|Best Practices for Designing Models]] | * [[Best_Practices_for_Designing_Models|Best Practices for Designing Models]] | ||
* [[Event Ordering for Identical Timestamps|Event Ordering for Identical Timestamps]] | * [[Event Ordering for Identical Timestamps|Event Ordering for Identical Timestamps]] | ||
Revision as of 13:52, 31 August 2023
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
Analyses and Visualizations
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
Manage 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
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
Installing and Configuring
Agreements
See the QPR End User Software License Agreement and QPR Software as a Service Agreement.