process-mining

2021.10

true

Release notes
- 2024
  - 2021.10.4
- 2022
- 2021
Getting started
- About Process Mining
- Introduction to UiPath Process Mining
- User roles
- UiPath Process Mining components
- Platform architecture
  - Server architecture
  - Integration options
- From data to dashboard
- App and Discovery Accelerator development
Installation
- Hardware and software requirements
- Server installation
- Updating the license
- Deploying Apps and Discovery Accelerators
- Deploying the UiPath Process Mining Profiler
- Deploying a Connector (.mvp)
- Updating UiPath Process Mining
- Updating a customized version of an App or Discovery Accelerator
- Installing a training environment
Configuration
- Server configuration
- Using a Git repository
- Creating accounts for developers
  - Two-Factor authentication
- Backup
- About telemetry
- Set up Audit Logs
  - Category details
Integrations
- Set up integration with UiPath Automation Hub
- Set up Actionable Insights
Authentication
- Set up single sign-on through Azure Active Directory
- Set up single sign-on through Integrated Windows Authentication
- Set up single sign-on through SAML for Microsoft Active Directory
  - Configuring ADFS
- Adding Superadmin AD Groups
- Adding End-user AD Groups
- Set up LDAP
- Two-Factor Authentication
- Set up a Credential store
  - Setting up an Azure Key Vault Credential store
  - Use a Credential store
Working with Apps and Discovery Accelerators
- Working with charts
- Working with Process graphs
- Sending automation ideas to UiPath Automation Hub
- Filters
- Favorites
- Export
- Selecting the preferred language
AppOne menus and dashboards
- Introduction to AppOne
- Analyzing data in AppOne
- Overview of menus and dashboards in AppOne
- Menu Overview
- Menu Process
- Menu Timing
  - Timing - Timing
  - Timing - Due Dates
- Menu Conformance
- Menu Users
- Menu Details
AppOne setup
- Input tables of AppOne
TemplateOne 1.0.0 menus and dashboards
- TemplateOne menus and dashboards
- Menu Overview
- Menu Analysis
- Menu Efficiency
  - Efficiency - Automation
- Menu Compliance
  - Compliance - Tags
  - Compliance - Due Dates
- Menu Details
TemplateOne 1.0.0 setup
- Getting Started with TemplateOne
- Steps to roll-out TemplateOne 1.0.0
- Input tables of TemplateOne 1.0.0
- Adding custom attributes
- Configuring the context bar
TemplateOne menus and fashboards
- TemplateOne menus and dashboards
- Menu Overview
- Menu Analysis
- Menu Efficiency
  - Efficiency - Automation
- Menu Compliance
  - Compliance - Tags
  - Compliance - Due Dates
- Menu Details
TemplateOne 2021.4.0 setup
- Getting started with TemplateOne
- Steps to roll-out TemplateOne
- Input tables of TemplateOne
  - Input tables of TemplateOne 2021.4.0
- Loading data into TemplateOne
Purchase to Pay Discovery Accelerator menus and dashboards
- Introduction to Purchase-to-Pay Discovery Accelerator
- Analyzing data with Purchase-to-Pay Discovery Accelerator
- Overview of menus and dashboards
- Menu Overview
  - Overview - Procurement
  - Overview - Accounts Payable
- Menu Procurement
- Menu Accounts Payable
- Menu Efficiency
- Menu Compliance
- Menu Details
Purchase to Pay Discovery Accelerator Setup
- Input tables of the Purchase-to-Pay Discovery Accelerator
  - Input tables of Purchase-to-Pay Discovery Accelerator 21.10
  - Input tables of Purchase-to-Pay Discovery Accelerator V. 21.4
- Adding automation estimates
Order to Cash Discovery Accelerator menus and dashboards
- Introduction to Order-to-Cash Discovery Accelerator
- Overview of menus and dashboards
- Menu Overview
- Menu Analysis
  - Analysis - End to End
  - Analysis - Deviations
- Menu Efficiency
  - Efficiency - Automation
  - Efficiency - Customers
- Menu Details
  - Details - End to end
Order to Cash Discovery Accelerator Setup
- Input tables of the Order-to-Cash Discovery Accelerator
  - Input tables of the Order-to-Cash Discovery Accelerator V21.4.1
  - Input tables of the Order-to-Cash Discovery Accelerator 21.4
- Adding automation estimates
Basic Connector for AppOne
- Deploying the Basic Connector
- Introduction to Basic Connector
- Input tables of the Basic Connector
- Loading data
  - Mapping attributes
  - Cleaning input data
- Adding tags
- Adding automation estimates
- Adding Due dates
- Adding Reference models
- Setting up Actionable Insights
- Setting collapsible charts
- Using the output dataset in AppOne
- Output tables of the Basic Connector
SAP Connectors
- Introduction to SAP Connector
- Loading data in the SAP Connector for AppOne
- SAP input
- Checking the data in the SAP Connector
- Adding process specific tags to the SAP Connector for AppOne
- Adding process specific Due dates to the SAP Connector for AppOne
- Adding automation estimates to the SAP Connector for AppOne
- Adding attributes to the SAP Connector for AppOne
- Adding activities to the SAP Connector for AppOne
- Adding entities to the SAP Connector for AppOne
SAP Order to Cash Connector for AppOne
- Order-to-Cash Process in UiPath Process Mining
  - Roles in the Order-to-Cash process
- Introduction to SAP Order-to-Cash Connector for AppOne
  - Entities
  - Activities
- Input Data of the SAP Order-to-Cash Connector for AppOne
- Other settings
- Optional attributes
- Order-to-Cash tags
- Order-to-Cash Due dates
- Order-to-Cash Reference models
SAP Purchase to Pay Connector for AppOne
- Purchase-to-Pay process in UiPath Process Mining
  - Roles in the Purchase-to-Pay process
- Introduction to SAP Purchase-to-Pay Connector for AppOne
  - Entities
  - Activities
- Input data of the SAP Purchase-to-Pay Connector for AppOne
- Other settings
- Purchase-to-Pay tags
- Purchase-to-Pay Due dates
SAP Connector for Purchase to Pay Discovery Accelerator
- Introduction to SAP Connector for Purchase-to-Pay Discovery Accelerator
  - Entities
  - Activities
- Input Data of the SAP Connector for Purchase-to-Pay Discovery Accelerator
- Configuring the SAP Connector for Purchase-to-Pay Discovery Accelerator
- Configuring the activity code
SAP Connector for Order-to-Cash Discovery Accelerator
- Introduction to SAP Connector for Order-to-Cash Discovery Accelerator
  - Entities
  - Activities
- Input data of the SAP Connector for Order-to-Cash Discovery Accelerator
- Configuring the SAP Connector for Order-to-Cash Discovery Accelerator
Superadmin
- The Superadmin page
- Collaborative development
  - Workspace conflicts
  - Commit
- Creating releases
- Viewing the branch history
- Creating Apps
- Modules
Dashboards and charts
- Creating dashboards
- Adding charts on a dashboard
- HTML panels
- Process graphs
- Legacy charts
  - Adding a compare period filter to a dashboard
- Migrating legacy charts to new charts
Tables and table items
- Connection string tables
  - Connection string types
  - Table scope
- Join tables
- Global tables
- Introduction to table items
- Datasource attributes
  - Attribute selectors
  - Adding new attributes to an App or Discovery Accelerator
- Metrics
- Filters
- Display format
- Expressions
- Maps
- Actions
Application integrity
- Maintain Application integrity
- Application issues
  - Finding Application issues
  - Solving Application issues
- Application Profiling
  - Profiling aalysis
  - Example analysis
How to ....
- Rebrand and restyle Apps and Discovery Accelerators
- Translate apps
- Use sharding in your applications
- Use generic script datasources
  - Example: Creating a Python Script
  - Example: Creating an R Script
- Create an anonymized dataset
- Set up native SAP extraction
  - Installing the Z_XTRACT_IS_TABLE Function Module on Your SAP System
- Set up automated data refreshes
- Use an access matrix to enable role-based access to data
Working with SQL connectors
- Introduction to SQL connectors
- Setting up a SQL connector
- CData Sync extractions
- Running a SQL connector
- Editing transformations
- Releasing a SQL Connector
- Scheduling data extraction
- Structure of transformations
- Using SQL connectors for released apps
- Generating a cache with scripts
- Setting up a local test environment
- Separate development and production environments
Useful resources
- Troubleshooting
- Performance
- Security

Process Mining

DELIVERY:

DELIVERY:

Automation Cloud Automation Cloud Public Sector Automation Suite Standalone

RELEASE: 2021.10

Last updated Sep 2, 2024

Releasing a SQL Connector

Introduction

Once the new version of the SQL connector is ready for production, it can be marked as a release in Git. Then the connector can be moved to production. This page describes how to release a SQL connector from a development environment to a production environment.

Prerequisite

It is assumed that the standard setup is used, as described in Separate development and production environments.

Update Extractor

If any changes were made to the data extraction, you must first update the extractor on the production environment.

When you are using CData Sync, this means that you must update the CData Sync job of the SQL connector.

Note: It is advised to make a copy of the current job, to allow for easy rollback if needed.

The connection used for the extraction must point to the production source system.

Update Connector Contents

The released connector content can be checked out on the production environment.

The config.json file in the scripts\ directory points to the job name on the production server. It should be overwritten when updating the connector contents. This happens automatically when GitHub is used because the file is ignored by Git.

The profiles.yml file contains connection information that should be different for the production environment. Make sure your profiles.yml is located outside of the connector directory.

Running the New Connector

The next time the connector is run, the new data extraction and transformation are used to generate data.

Running a SQL connector on how to run a SQL connector manually.

It is also possible to set up a scheduled task for data extraction. See Scheduling data extraction for more information.

On this page

Introduction
Prerequisite
Update Extractor
Update Connector Contents
Running the New Connector

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