Enables validation of data from multiple sources, a configurable and ML learnt capability
Engine supports an in-built data dictionary with configurable weightage tags for matching data fields
A proprietary scoring algorithm enables matching based on weightage, predefined thresholds and assigning scores
Partial matches and inconsistencies are highlighted for assisted matching with workflows and constant training of an underlying machine learning bed
Outputs can be consumed as APIs, webhooks or custom formatted files exchanged over SFTP, HTTPS, etc.