To manage your data's quality, you need to monitor it.
Monitoring is a central aspect with DataCleaner - to establish the starting point and goals,
and to ensure a process of following up on data quality issues.
The monitoring server of DataCleaner enables you to not just make point-in-time profiles of
your data, but to schedule periodic data quality checks and receive notifications
if quality KPIs get out of control.
Cleansing and enrichment
Use reference data, external and internal, in order to verify that the data values you have correspond to the real world.
DataCleaner allows you to build your own cleansing rules and compose them into several use scenarios or target databases.
Whether it is simple search/replace rules, regular expressions, pattern matching or completely custom transformations, we support it.
You can also leverage EasyDQ.com, an on-demand DQ services platform to easily check if addresses exist, if phone numbers are filled correctly
for international use, if persons or organizations are noted on EU or OFAC sanction lists and more.