DataGroomr Support

As part of any email verification, Cleanse (Brushr) automatically searches for alternative email addresses when an existing email is invalid.  This is done using a discovery process that leverages record context. If an alternative valid email is discovered it will be offered as a suggestion. DataGroomr also learns ...

These rules allow you to normalize or standardize your data based on a specific criteria.  Transform Rules can be applied in the Cleanse module, as well as within matching models for use within Dedupe, but the rule itself can be managed in the Cleanse module under Settings on the left-hand navigation bar. ...

Data Quality Models allows users to build scoring models that determine whether datasets are complete, consistent and up to date. The scoring of datasets  allows users to quickly gauge the health and quality of a dataset at a quick glance through Cleanse Dashboards. Data Quality Models are assigned to the entire ob...

Data Quality Models are used to score the quality of data based on user defined formula rules that generate an integer score that gauges attributes of values contained within a dataset. Rules can be used to score datasets on parameters based on completeness, formatting, timeliness or any custom metrics. The Dat...