End-to-End Data Quaity
By David Butler on Jul 16, 2010
Data cleansing is at the heart of Oracle MDM's ability to turn data into an enterprise asset. Only standardized, de-duplicated, accurate, timely, and complete data can effectively serve an organization's applications, business processes, and analytical systems. From point-of-entry anywhere across a heterogeneous IT landscape to end usage in a transactional application or a key business report, Oracle MDM's Data Quality tools provide the fixes and controls that ensure maximum data quality.
Data quality tools are applied against data as it is held in databases, as it is moved, and as it is entered. The value of the data quality goes up as the number of places it can be brought to bear increases. Most data quality tools can clean up the data in the applications and in databases such as a data warehouse or an MDM Hub. Oracle's MDM Data Quality tools can do the same.
But Data Quality technology that stops there is still letting poor quality data enter the IT landscape. Potentially thousands of people are entering customer data into a wide variety of operational applications. In fact, data errors are entering the system at a significant rate. Data quality tools that clean things up after the fact and try undo any damage caused by poor quality data are certainly performing a beneficial service. But a Data Quality technology that can prevent the data entry errors in the first place would be far superior. This is exactly what Oracle has been able to do because of its fusion of MDM and SOA.