Data governance is the ability of an organization to manage its information knowledge and to answer questions such as What do we know about our information?, Where did this data come from?, and Does this data adhere to company policies and rules?. Data governance practices provide a holistic approach to managing, improving and leveraging information to help you gain insight and build confidence in business decisions and operations.
IBM's data governance solutions let you locate and retrieve information about data objects, their meaning, physical location, characteristics, and usage. This helps improve IT productivity while meeting regulatory requirements.
With multiple entry points, adapt a data governance strategy to suit your organizational objectives while shaping business information in unique ways as per your needs.
Archive and streamline applications
By consolidating applications, retiring outdated databases and modernizing existing systems focus on important projects, thus reducing risk and enhancing application quality.
Confidence in big data analytics
Obtain clean, consolidated, consistent and current information. Use this information to drive big data projects and applications while aligning with governance objectives.
InfoSphere Information Governance Catalog
Use a standardized approach for discovering your IT assets and defining a common business language with InfoSphere Information Governance Catalog. Find context in your data sources while understanding lineage and scale.
Four key pillars of information governance for a hybrid cloud environment
Many organizations today operate in a hybrid data environment - a combination of on-premises and cloud-based data. Data from various sources have differing meanings, standards and quality needs. Information governance is critical for ensuring data is properly understood, prepared, and monitored in order to create confidence in information gleaned from the data.