Data Governance and Data Quality
Data governance has become front and center for executives all over the world. Spending money on data cleansing and data transformtion is the beginning. Transforming the sea of enterprise data into an asset to grow your business may be job 1, and job two is keeping your data clean.
Some define data governance as the function tht aligns business priorities, policies, and procedures for data administration. Technology teams scramble to make sure data compies with enterprise policies. Both business users and corresponding IT resources should be used to ensure accurate data, according to Gartner. Many IT professionals expend cash and resource to make ensure excellent data quality.
It is logical to use technology, if available, to solve the data quality problem. By turning to off the shelf MDM (master data management) software can enterprises cut the cost of human data governance? This appears to be true if the correct MDM solution is selected.
The correct MDM solution is architected with data governance and data qualitiy in mind. Many MDM vendors rely on a third party data cleansing provider. But this approach is not integral to the MDM software. This method of supplying data governance and data quality function is a band aid approach because it is not integral to the data model.
MDM vendors like Riversand, based in Houston, Texas, have built their data cleansing module to closely align with data aggregation. This embedded data cleansing module acts on and transforms data right at the content level and is reliable, fast and accurate.
Team the best of breed data cleansing module with advanced worflow can slash data governance costs. Team members responsible for classifications of data can now be alerted using the workflow module if human intervention is needed. And in doing this, the data aggregation process can be strenghtened to solve this data issue in the future by tweaking the business rules inherent to data aggregation and data transformation.
This type of MDM workbench can simplify meeting enterprise data compliance mandates and can cut the risk of monetary penalties for non-compliance. This MDM architecture, with integral data quality function, frees up IT and business resource to set strategy, to focus on efficiency and growing the business instead of managing data.
