Supervisr: Data Quality

Manage Data Quality Models
Scoring and monitoring the quality of datasets are important in many ways. This feature set allows users to build scoring models that determine whether datasets are complete, consistent and up to date. The scoring of datasets also allows users to quickly gauge the health and quality of a dataset at a quick glance t...
Tue, 4 Jun, 2024 at 6:11 PM
Data quality model editor
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. Rule ed...
Thu, 23 May, 2024 at 5:31 PM