Search: insert-data-table

in edit mode. Select Data Source. Search jhi_dataset table and drag it to the data source interface. Select a relationship with an existing table on the data source interface.

Dataset The default columns in the Business Dataset table are Manual Time and Hourly Cost. You can also

[1] ROI data set

in edit mode. 1. Select **Data Source**. 1. Search **jhi_dataset **table and drag it to the data source interface. 1. Select a relationship with an existing table on the data source interface. ))) {{velocity

** == The default columns in the **Business Dataset** table are **Manual Time** and **Hourly Cost**. You can also

to a pipeline that has Automation Type is Confident, then export them and change the status. Table

. (% style="text-align:center" %) [[image:image-20220420200751-2.png||cursorshover="true" data-xwiki-image

||cursorshover="true"]] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

. Adding a new table In order to create a new table, click [Add Field], select Data Type = “table

A basic element in the extraction schema is the data field. However, akaBot Vision enables the capture of even more complex structures like tables. Adding a predefined table field If you are missing

[4] Capture Custom Table Data

Capturing Custom Table Data in akaBot Vision

Customizing Data Extract

, click [Add Field], select Data Type = “table” and then input the value you want to create a new table

="wikigeneratedid" id="HParagraph1" %) A basic element in the extraction schema is the data field. However, akaBot Vision enables the capture of even more complex structures like tables. == **Adding a predefined table

Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data without any additional training

: Choose Automation Type and set conditions for required fields and data formats The Automation Type

will be bypassed Bypass wrong data formats: All the documents with wrong data formats inside will be moved

. If you turn this mode on, all the wrong data formats will be bypassed Step 3: Click [Save] to save

Customizing Data Extract

Automation Type and set conditions for required fields and data formats ))) * The Automation Type will have

fields will be bypassed * Bypass wrong data formats: All the documents with wrong data formats inside

these later. If you turn this mode on, all the wrong data formats will be bypassed [[image:image

on: Built-in checks – we perform Data Integrity checks based on values found on the document. Such checks

the Extraction schema you should be seeing the message for the required fields with no captured value. Table

Customizing Data Extract

– we perform Data Integrity checks based on values found on the document. Such checks could

value. ))) ))) ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

Automation of Fields Capture Custom Table Data Configure Automation Type for Pipeline Configure Fields for Data Extraction

[6] Customize Data Extract

Customizing Data Extract

* [[Automation of Fields>>path:/bin/view/akaBot%20Vision/Customizing%20Data%20Extract/Automation%20of%20Fields%20in%20akaBot%20Vision/]] * [[Capture Custom Table Data>>path:/bin/view/akaBot%20Vision

/Configure%20Automation%20Type%20for%20Pipeline%20/]] * [[Configure Fields for Data Extraction>>path:/bin

When you send a document to the pipeline, akaBot Vision will immediately start to extract the data from it. Description During this stage, the document has an importing status. In case something

splitting suggestions available in the app. Table Of Content

the data from it. == **Description** == (% class="wikigeneratedid" %) During this stage, the document has an importing status. (% style="text-align:center" %) [[[[image:image-20220420191058-1.png||data-xwiki-image

" %) [[[[image:image-20220420191111-2.png||data-xwiki-image-style-alignment="center"]]>>attach:image-20220420191111-2

Manage User Roles Insights supports 2 main permissions: ADMINISTRATOR_RESOURCE & DATASET_RESOURCE. From 2 basic permissions, users can be assigned different roles. The impact of permissions on the system is outlined in the following table: Permissions ADMINISTRATOR_RESOURCE DATASET_RESOURCE Assign

in the following table: |(% style="background-color:#f0f3f5" %)**Permissions**|(% style="background-color:#f0f3f5

. [[image:image-20230420153140-2.png||data-xwiki-image-style-border="true" height="216" width="528"]] 4

!= 'export') (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4

nuget.exe file is placed). Open created .nuspec file, remove all example data and input at least Author

%** is the directory where **nuget.exe** file is placed). * Open created **.nuspec** file, remove all example data

" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) #end {{/velocity}} )))