Shift from REACTIVE to PROACTIVE
Business and validation rules unlock the ability to proactively identify, highlight and correct data quality issues before they become a problem.
An end to ‘data clean-up’
Constraint rules provide the ability to prevent bad data from being created or to prevent users from updating records that do not meet minimum thresholds of quality.
Data quality metrics
You can’t improve what you can’t measure.
Data quality heat maps and analytics provide stakeholders with visibility into data quality trends to measure improvement over time.
Easily integrate with third-party data services to standardize common data such as Businesses, Addresses, Names, Email Addresses, and Phone Numbers.
Define data quality rules that can identify existing invalid data and prevent new data quality issues from being created.