Learn How Data Stewardship Is Enhancing Enterprises With Data Management
What is Data Stewardship?
If you think of all the data you need to work with each day, you know that often it is incomplete and sometimes incorrect. You may be able to fix it since you know it, but that process does not scale when dealing with vast amounts of data and when other groups “bring their own data” and know what it should look like. Also, let’s not forget that using email or Excel to resolve data quality issues one by one is not very efficient, not to mention the risks that come with the proliferation of uncontrolled copies of potentially sensitive data everywhere in the enterprise across file folders. You need purposed tools, processes and polices to effectively and sustainably manage data quality.
As a critical component of data governance, data stewardship is the process of managing the lifecycle of data from curation to retirement. Data stewardship is about defining and maintaining data models, documenting the data, cleansing the data, and defining the rules and policies. It enables the implementation of well-defined data governance processes covering several activities including monitoring, reconciliation, refining, deduplication, cleansing and aggregation to help deliver quality data to applications and end users.