Process Mining

2021.10

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- About Process Mining
- Introduction to UiPath Process Mining
- User Roles
- UiPath Process Mining Components
- - Server Architecture
  - Integration Options
- From Data to Dashboard
- App and Discovery Accelerator Development
- Hardware and Software Requirements
- Server Installation
- Updating the License
- 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
- Server Configuration
- Using a Git Repository
- - Two-Factor Authentication
- Backup
- About Telemetry
- - Category Details
- Set up Integration With UiPath Automation Hub
- Set up Single Sign-on Through Azure Active Directory
- Set up Single Sign-on Through Integrated Windows Authentication
- - Configuring ADFS
- Adding Superadmin AD Groups
- Adding End-user AD Groups
- Two-Factor Authentication
- - Setting up an Azure Key Vault Credential Store
  - Use a Credential Store
- Working With Charts
- Working With Process Graphs
- Sending Automation Ideas to UiPath Automation Hub
- Filters
- Favorites
- Export
- Selecting the Preferred Language
- Introduction to AppOne
- Analyzing Data in AppOne
- Overview of Menus and Dashboards in AppOne
- - Timing - Timing
  - Timing - Due Dates
- Input Tables of AppOne
- TemplateOne Menus and Dashboards
- Menu Overview
- - Efficiency - Automation
- - Compliance - Tags
  - Compliance - Due Dates
- 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 Dashboards
- Menu Overview
- - Efficiency - Automation
- - Compliance - Tags
  - Compliance - Due Dates
- Getting Started With TemplateOne
- Steps to Roll-out TemplateOne
- - Input Tables of TemplateOne 2021.4.0
- Introduction to Purchase-to-Pay Discovery Accelerator
- Analyzing Data With Purchase-to-Pay Discovery Accelerator
- Overview of Menus and Dashboards
- - Overview - Procurement
  - Overview - Accounts Payable
- Menu Compliance
- - Input Tables of Purchase-to-Pay Discovery Accelerator 21.10
  - Input Tables of Purchase-to-Pay Discovery Accelerator V. 21.4
- Adding Automation Estimates
- Introduction to Order-to-Cash Discovery Accelerator
- Overview of Menus and Dashboards
- Menu Overview
- - Analysis - End to End
  - Analysis - Deviations
- - Efficiency - Automation
  - Efficiency - Customers
- - Details - End to End
- - 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
- Deploying the Basic Connector
- Introduction to Basic Connector
- Input Tables of the Basic Connector
- - 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
- Introduction to SAP Connector
- 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
- - Roles in the Order-to-Cash Process
- - 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
- - Roles in the Purchase-to-Pay Process
- - Entities
  - Activities
- Input Data of the SAP Purchase-to-Pay Connector for AppOne
- Other Settings
- Purchase-to-Pay Tags
- Purchase-to-Pay Due Dates
- - 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
- - Entities
  - Activities
- Input Data of the SAP Connector for Order-to-Cash Discovery Accelerator
- Configuring the SAP Connector for Order-to-Cash Discovery Accelerator
- - Workspace Conflicts
  - Commit
- Creating Releases
- Viewing the Branch History
- Creating Apps
- Modules
- HTML Panels
- - Adding a Compare Period Filter to a Dashboard
- Migrating Legacy Charts to New Charts
- - Connection String Types
  - Table Scope
- Join Tables
- Global Tables
- Introduction to Table Items
- - Attribute Selectors
  - Adding New Attributes to an App or Discovery Accelerator
- Display Format
- Maps
- Actions
- Maintain Application Integrity
- - Finding Application Issues
  - Solving Application Issues
- - Profiling Analysis
  - Example Analysis
- Rebrand and Restyle Apps and Discovery Accelerators
- Use Sharding in Your Applications
- - Example: Creating a Python Script
  - Example: Creating an R Script
- Create an Anonymized Dataset
- - 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
- 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
- Security

Introduction to Basic Connector - Standalone 2021.10

Process Mining

Last updated Sep 21, 2023

Introduction to Basic Connector

Introduction

Many companies use Business Information Systems to collect, process, store and distribute information, such as ERP, CRM, BPM, several databases and other tools.

This results in large amounts of data stored in your organization on who did what and when. Process mining makes it possible to use this big data to gain insights in unexpected business processes and find inefficiencies. AppOne is an app that contains dashboards for analyzing and monitoring a typical process. Using AppOne is an easy and fast way to start getting a better understanding of your process.

A dataset with case and event data of the process in needed to load this information in AppOne. In many cases the raw data is not directly in the format required for AppOne. The data needs to be transformed into an event log.

The Basic Connector can be used as template for for adding business logic and transformation of data. Following the structure of the Basic Connector ensures that the created event log fits the format required by AppOne.

In this way, the data can be loaded from the Basic Connector into AppOne and you are immediately able to see the data visualized.

See the illustration below.

BasicConnector Types

The BasicConnector-SingleFile and the BasicConnector-TwoFiles are connectors provided by UiPath Process Mining. To use the BasicConnector, your input data needs to meet a defined format.

If your data for cases and events is available in one input file, you use the BasicConnector-SingleFile. If your data for cases and events is split up into two different input files, you use the BasicConnector-TwoFiles.

Structure of the Basic Connector

The image below displays the structure of the Basic Connector-TwoFiles.

Input tables

Input tables are used to load data and clean the data.

Preprocessing tables

Preprocessing tables are used to enhance the data and add business value.

Base tables

Base tables contain the final data that will be exported and loaded into AppOne.

On this page

Introduction
BasicConnector Types
Structure of the Basic Connector
Input tables
Preprocessing tables
Base tables

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