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]] | ||
* [[AI Assistant for QPR ProcessAnalyzer|AI Assistant]] ( | * [[AI Assistant for QPR ProcessAnalyzer|AI Assistant]] (powered by generative AI) | ||
* [[Dashboard Variables|Dynamic Variables in Dashboards]] | * [[Dashboard Variables|Dynamic Variables in Dashboards]] | ||
* [[Business Calendar|Business Calendar to Calculate Durations]] | * [[Business Calendar|Business Calendar to Calculate Durations]] | ||
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* [[Process Flowchart|Process Flowchart]] | * [[Process Flowchart|Process Flowchart]] | ||
* [[QPR ProcessAnalyzer Chart|Chart]] / [[ | * [[QPR ProcessAnalyzer Chart|Chart]] / [[Snowflake Chart|Snowflake Chart]] | ||
** [[QPR ProcessAnalyzer Graphs|Graphs]] | ** [[QPR ProcessAnalyzer Graphs|Graphs]] | ||
** [[QPR_ProcessAnalyzer_Table|Table]] | ** [[QPR_ProcessAnalyzer_Table|Table]] | ||
Latest revision as of 17:39, 13 June 2024
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
This section contains information how to get started with QPR ProcessAnalyzer and how to create your first dashboards! This section also describes how to use filters and how to make different kinds of analyses with QPR ProcessAnalyzer.
Getting Started
Working with Dashboards
Analyses and Visualizations
For Citizen Developers
This section describes how to build ETL scripts that transform the source data into process mining models. There is also a detailed description how the process mining models can be configured so that they are optimal for the desired analyses. Finally, there is reference documentation for all expression language related functionality, that can be used both when writing custom KPI's in dashboards and in the ETL scripts.
Expression Language Reference
- 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 (Dashboard, Datatable, Model, Filter, Diagram, Script, Project, User/Group)
- Tabular data (DataFrame, SqlDataFrame, DataFlow)
- Machine Learning API / Conformance Checking
- Filter Rules JSON
Create Process Mining Models
- Walkthrough: 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
- Keeping Models Always Available
- Event Ordering for Identical Timestamps
- Time Zones and Local Time
- Best Practices for Designing Models
- Create Predicted Eventlog
Data Integrations and Connectors
For System Administrators
This section starts with the planning of QPR ProcessAnalyzer installation. After all requirements have been fulfilled, you can continue with the installation and configuration of QPR ProcessAnalyzer. Finally, learn how to manage users and perform other administrative tasks.
Planning Installation
Installing and Configuring
Agreements
See the QPR End User Software License Agreement and QPR Software as a Service Agreement.