process-mining
2022.10
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Process Mining
Automation CloudAutomation Cloud Public SectorAutomation SuiteStandalone
Last updated Oct 17, 2024

TemplateOne-SingleFile input fields

Introduction

If your data for cases and events is available in one input file, you use the TemplateOne-SingleFile app template.

If you want to create a new TemplateOne process app, you must upload a dataset that contains the data to be used in the TemplateOne.

This must be a .tsv (tab-separated) file or .csv (comma-separated) file that contains a column for each input field.
Important: Table names and field names are case-sensitive. Always make sure that the field names (column headers) in your dataset match the field names in the table below and that the file name is Event_log.

If you are extracting the data using CData Sync, `_raw` has to be added to the table names listed below, e.g. `Event_log_raw`.

Tutorial

When creating your first dataset, check this video below for a tutorial. Use this to better understand how to create a dataset and use it in a TemplateOne process app.

Mandatory and optional fields

Your input data file can have different fields or different field names. However, there are some fields mandatory for TemplateOne - SingleFile, which means that the data must be available in your input data file for a correct working of TemplateOne.

Note: When a field is mandatory, it should not contain NULL values.

Field types

Below is an overview of the different field types and their default format settings.

Field type

Format

boolean

true, false, 1, 0

datetime

yyyy-mm-dd hh:mm:ss[.ms], where [.ms] is optional.

double

Decimal separator: . (dot)

Thousand separator: none

text

N/A

integer

Thousand separator: none

This page contains an overview of the input fields for TemplateOne - Single File. For each field, the name, the data type, and a short description are displayed. Apart from that, it is indicated whether the field is mandatory.

Event_log

Below is an overview of the input fields for TemplateOne.

Name

Data type

Mandatory Y/N

Description

activity

text

Y

The name of the event. This describes the step in the process.

case_id

text

Y

The unique identifier of the case the event belongs to.

event_end

datetime

Y

The timestamp associated with the end of executing the event.

automated

boolean

N

Indicates whether the event is manually executed or automated.

case

text

N

A user-friendly name to identify the case.

case_status

text

N

The status of the case in the process. For example, open, closed, pending, approved, etc.

case_type

text

N

The categorization of the cases.

case_value

double

N

A monetary value related to the case.

event_cost

double

N

The costs for executing the event.

event_detail

text

N

Information related to the event.

event_start

datetime

N

The timestamp associated with the start of executing the event.

team

text

N

The team that executed the event.

user

text

N

The user who executed the event.

Custom fields

Additionally, custom case and event fields for both case and event properties are available for TemplateOne.

  • 30 fields of type text;
  • 10 fields of type double;
  • 10 fields of type datetime;
  • 10 fields of type boolean;
  • 15 fields of type duration.

Custom fields have generic names. Below is an overview of the custom fields that can be used in a process app.

Name

Data type

Mandatory Y/N

custom_case_text_{1...30}

text

N

custom_case_number_{1...10}

double

N

custom_case_datetime_{1...10}

datetime

N

custom_case_boolean_{1...10}

boolean

N

custom_event_text_{1...30}

text

N

custom_event_number_{1...10}

double

N

custom_event_datetime_{1...10}

datetime

N

custom_event_boolean_{1...10}

boolean

N

custom_event_duration_{1...5}

integerN

When you use a custom field, you should rename the field in using Data manager to a name that matches the value. See Fields.

Custom fields that are empty in your dataset, are not displayed in Process Mining.

  • Introduction
  • Tutorial
  • Mandatory and optional fields
  • Field types
  • Event_log
  • Custom fields

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