Consensus-driven data definition development is the key to data governance success.
The emergence of business intelligence and data warehousing initiatives has placedincreased importance on effective data governance practices among many business and IT leaders.
More often than not, organizations turn to IT groups to provide leadership in this area to ensure the quality, consistency, security and standardization of information across disparate business units. The key to an effective data governance program hinges on the development of strong, reusable data definitions.
Developing these definitions can be a tricky process, especially in organizations that have never tackled data governance on an enterprisewide basis before. Successful definition efforts require a consensus-driven approach that considers the requirements of business units beyond the immediate user or customer to guarantee the long-term viability of definitions. These five steps can help an organization build an effective data governance program.