Data Ingestion
Ingesting Data
Data ingestion is the process of intaking data onto the Aisera Platform. This can be done through the creation of a Connector. Alternatively, you may opt to use APIs and Webhooks to ingest data into the Aisera Platform.
Data ingestion is an automated process controlled by the Schedule parameter of the Data Source configuration. After you have created a valid Data Source you may also manually run ingestion jobs, which is useful for testing, troubleshooting, or forcing ingestion when content has changed since the last run.
Supported File Types
The Data Ingestion function supports the following file types: .boxnote, .html, .md, .pdf, .ppt, and .txt.
Manually Running a Data Ingestion Job
To run a data ingestion job:
Use the Settings > Data Sources command to navigate to the Data Source Details page.
Choose an existing valid Data Source, or add and configure a New Data Source.
On the Data Source Details page, select the play button in the upper-right corner to start the data ingestion job.

Start Data Source Ingestion
The Data Source Details window displays the metrics for the data as it is ingested. You will see the functions that have been selected while creating a data source and details of all the jobs executed.

The results show the metrics of the ingestion, such as the Number of Users, User Groups, and User Profiles ingested in every run.
The lower portion of the Data Source Details page lists all of the fields that have contributed data. In other words, these are the default fields from your data source that are mapped to the fields of the Aisera platform.

The example above displays the Ticket Fields that contain ingested data. If you chose the User tab, you would see the User Fields that contain ingested data.
After setting up parameters for your Integration and Data Source and successfully ingesting data you will still need to attach the Data Source to bots that you create. If the Data Source is not attached to the bot it will not be able to use the Ingested Data.
Continue Reading
Field Mapping - How data from a Data Source is Mapped to the Aisera Platform
PII Anonymization - How to detect and remove PII from your ingested data
Post-Ingestion Tasks - Steps required after Data Ingestion to make data available for use on the Aisera Platform
Troubleshooting Data Ingestion - Common issues and questions related to data ingestion
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