Autonomous Data Interchange
Analyze and normalize data from disparate sources and transfer to the host system in a low-touch or even no-touch mode
Analyze the data from disparate sources and identify anomalies for further data cleansing which would be followed by normalizing of data and convert them to the expected format.
As a data interchange, further process data by making necessary operational specific adjustments and any required manipulations for loading to the data table.
Common use cases:
a) Debt load and adjustments through validations
b) Payment file upload and adjustments through auto validation