Enterprise Data Quality: A Key Requirement for Data Integration and Beyond...
By Mala Narasimharajan on Apr 22, 2013
If you've been following the recent Oracle Data Integration blogs, then you're no stranger to our latest paper on the five key data integration requirements. Yet, what we haven't mentioned yet is the importance of data quality. Enterprise data is changing constantly, take a look at the graphic below and you will see what I mean. Data degrades at a rapid fire pace and an enterprise-level data quality solution is key to maintaining the trustworthiness as well as reliability in order to make sound business decisions from it.
As a key component of Oracle Data Integration product family, Oracle Enterprise Data Quality complements Oracle's integration technologies by providing the key steps around cleansing, standardizing, governing and matching information. In addition, Enterprise Data Quality works with Oracle Master Data Management to help ensure that information inserted into multi-domain hubs is relevant, analyzed and accurate. One of the key features of Enterprise Data Quality is its on-going governance capabilties, bolstered by case management and dashboards for auditing, profiling, and parsing information - across customer and product data. The benefits of these features are that users have access to analyze data quality trends over time, continuous monitoring (user established) and rapid discovery of data faults. Oracle Enterprise Data Quality provides a manageable footprint in the enterprise for both MDM and data integration initiatives.. It acts as as the perfect starting point for understanding the current state of data. For more information on Oracle Enterprise Data Quality click here.