Data governance uses metadata to enforce management discipline on the collection and control of data.
Data governance is the process of defining the rules that data has to follow, and data stewardship makes sure that the data follows those rules.
Documenting how your company manages its data, and then developing metrics to monitor the effectiveness of those management practices.
It's not enough to have the numbers; you have to be able to show that the numbers are based on accurate and verifiable data.
This means both a governance function to demonstrate that the right controls are in place, and a stewardship function to ensure that the controls are enforced.
Governance and Stewardship are especially important functions in master data management, big data or data integration processes.
The data-governance function should include leaders of both the IT and business groups of a company.
Governance Rules Metadata Typically Include
- Who can read, create, update, and delete data.
- What validity checks are required for data.
- Which application is the preferred source for data items.
- How long data is retained.
- What privacy policies are enforced.
- How confidential data is protected.
- What disaster-recovery provisions are required.
Metadata in Data Governance
Metadata provides the linkage between the business need or desire (policy) and the information or data value.
The effective management of a metadata repository is one of the essential activities of a data steward within a governance practice, enabling data management policy and access to information.
Metadata management refers to the activities associated with ensuring that metadata is created/captured at the point creation and that the broadest possible portfolio of meta-information
is collected, stored in a repository for use by multiple software, tools, and software, applications and controlled to remove inconsistencies and redundancies.
In short, data governance uses metadata management to impose management discipline on the collection and control of data.
Metadata management is a critical component of any robust data governance practice, and metadata is one of the foundational contributors to creating and maintaining full business value of an organization’s data.
The role of a data steward is to ensure that the master data and metadata is clean consistent, and accurate.
In cases in which data quality could not be determined with automated rules and workflows and manual intervention is needed. The people doing this manual intervention are the data stewards.
The right person to be a steward for a particular collection of master data is the person who understands the data the best. In many cases, only someone who understands the business can make
the tough calls about which value is correct for a particular data element.
Data Stewardship is all about fixing data quality issues. This process is best implemented using a routing an approval system of some kind.
InfoLibrarian™ Data Governance and Stewardship
- Manage business glossaries and taxonomies.
- Manage reference data and valid values.
- Capture governance policies and rules.
- Collaborate on changes.
Follow the links below to see how InfoLibrarian™ can help you to capture and manages data governance metadata.