Within the Data Quality Service Hub, Data Governance serves to automatically monitor data quality during running operations. The data quality measures implemented can only take effect sustainably and effectively, when the master data quality is continuously monitored and reported. Otherwise the quality level achieved can gradually deteriorate again.
Loss of data quality is often first noticed when it is too late. Processes no longer run optimally, targets are missed, and trust in your own customer data sinks – and the call for more rapid trading becomes loud.
Data Governance supplements the DQ firewall which you have built up with Data Protection, and gives you early warning of conspicuous entries, which can then be dealt with by Data Cleansing. This means that the Data quality Service Hub gives you the necessary means to ensure that reliable customer data is available throughout the whole company, which you can trust always and everywhere.
Monitoring data quality with Uniserv Data Governance is a major partial aspect of the Uniserv Data Quality Life Cycle. It is based upon the targets and rules already set by you, and thereby keeps your data at the most up-to-date level. Data Monitoring is not an end in itself; it also serves as a sensor for data quality weaknesses, before these can have negative effects on the target system. Data Governance takes over these monitoring functions, by orientating itself on the data quality initiatives and guidelines you have defined, as well as on their necessary changes.
No matter whether it is a matter of data quality initiatives, or data migration projects, or data integration projects: Data governance gives you the certainty of being able to limit any negative effects of unreliable customer data in your company as far as possible, and to avoid costs and clearly reduce project risks. Check your customer data proactively.