Data governance is the entire management of data availability, relevance, usability, integrity and security in a company. They can use it to manage their information-related knowledge and answer questions such as the following:
What do we know about our information?
Where does this data come from?
Does this data comply with company guidelines and rules?
Data governance solutions from IBM play an important role for DataOps. This ensures that the data pipeline can help your company catalog, protect, and control sensitive data, track the origin of the data, and keep data lakes under control. This is a prerequisite for being able to implement AI and machine learning to the right extent. Using a data governance platform with an integrated data catalog, companies can find, curate, analyze, prepare and share data more easily. They remain under control and are protected against misuse.
→ See why IBM Watson® Knowledge Catalog ranks among the top performers in The Forrester Wave: Machine Learning Data Catalogs, Q2 2018.