Assign owners for the data assets. Provide appropriate tools for the data asset owners to maintain high level of integrity and quality. Define workflows to facilitate effective coordination and accountability.
Establish processes, infrastructure, and resources for Metadata management. Derive the benefits of maintaining business glossary, data dictionary, and capabilities to perform data lineage and quick impact analysis. Focus on effective ways of managing master data.
Define roles, responsibilities, processes, and policies that are necessary and fundamental for an effective and efficient data governance. Identify Data Governor, Data Stewards, Business users, and Technology leads.
Recognize the emerging threats to data security. Incorporate the security requirements for current and evolving environments.
Start small and make steady incremental progress. Identify top two or three data assets that are high in business priority. Focus on improving data governance of these assets to yield the most immediate benefit to the organization.
Take a step-by-step approach to enhance the data quality. Profile to separate good from the bad data, standardize, enrich with complimentary data, & monitor the quality on an ongoing basis.
Establish periodic survey to evaluate the effectiveness of data governance. Identify the areas of improvement to make necessary adjustments to the processes, policies, and roles.
Data assets need to be readily available. There could be a variety of internal and external data sources but they all should be accessible for the purpose of governance.