Data governance is the overall management of data availability, relevancy, usability, integrity and security in an enterprise. It helps organizations manage their information knowledge and answer questions, such as:
What do we know about our information?
Where did this data come from?
Does this data adhere to company policies and rules?
IBM data governance solutions are vital to DataOps to ensure the data pipeline is ready to help your organization catalog, protect and govern sensitive data, trace data lineage, and manage data lakes, so you can be ready to deploy AI and machine learning at scale. A data governance platform with an integrated data catalog can help enterprises find, curate, analyze, prepare and share data, while keeping it governed and protected against misuse.
With multiple entry points, you can adopt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways that suit your needs.
Use machine learning-powered data catalogs to improve the efficiencies of knowledge workers and make the processes of harvesting metadata, curating assets and sharing knowledge efficient.
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.
Privacy and protection
Identify data with meaning; assess data value and risk; secure personally identifiable information (PII), predictive customer intelligence (PCI) and personal health information (PHI); and comply with GDPR.