Quantemplate is designed for straight-through processing, allowing data to flow from source to destination with minimal human intervention.
Files uploaded to Feeds are automatically imported to pipelines.
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When Map Column Headers encounters files with new headers, they are automatically mapped in based on machine learning algorithms analysing other mappings made within your organisation.
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When a pipeline run completes, automatically export outputs to defined destinations in the Data Repo. Block the export if validations fail.
From the Data Repo, automatically send the data out from Quantemplate via API.
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All organisations contain a Robot User. This allows document owners to control which documents can be used in automated processes.
Pause Auto Run and Auto Export automations to allow pipeline maintenance, dealing with validation anomalies, etc.
When a pipeline input, such as a feed or dataset, is updated, run the pipeline. AutoRun can be conditional on multiple inputs receiving updates. Pipelines can also be set to AutoRun on a schedule.
Receive email notifications when automation events occur, such as AutoExport being blocked by a validation failure.