DataGroomr Support

The Cleanse Dataset Detail View allows users to take action on records contained within a dataset or modify records in mass through Mass Actions. The Cleanse Dataset View is comprised of these major parts: 1. Record Columns 2. Data Quality Model Scores 3. Mass Actions, Analyze, Additional Options 4. Dataset...

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...