Data Governance is one of those terms in the IT ecosystem with a pretty nebulous definition. It can mean different things to different people and depending on who you ask it's as simple as extra monitoring of your business process with some additional auditing for IT processees. On the other hand, it can be defined as the point where data quality, data management, data policies, business process management, and risk management converge in terms of the handling of data in an organization. Data Quality is an important component of Data Governance, for that matter to any type of IT initiative - Business Intelligence, Data Warehousing or Master Data Management, and enables organizations do a better job of governing their data in the following ways:
- Brings clarify and transparency to data
- Ensures high data quality for enterprise IT systems that need it
- Provides data control and standardization
Oracle Enterprise Data Quality is a data quality solution that handles both customer and product data and has unique approaches geared to handling the unique characteristics of each data domain. In addition, it plays an important role in helping organizations manage data quality as part of data governance projects by ensuring that data of poor data quality is cleansed, standardized and ready to meet compliance mandates, there by making sure that "dirty data" does not cascade throughout the enterprise and infiltrate IT systems. Join us on a webcast on this very topic - October 27, 2011 at 10 AM PT and learn how Oracle Enterprise Data Quality can help give you the tools you need to drive your Data Governance projects forward to completion. Register today for this webcast.
For more information on Oracle Enterprise Data Quality visit us here.