Will 2022 be the year of data governance? In recent years, data governance has transitioned from compliance and risk management into the operations arena, and this transition will only accelerate as 2022 gets underway.

As this happens, there are numerous trends that stand to gain greater functionality from operational data governance, including: 

Activating Data Stewards

Data stewards will become increasingly empowered as data governance shifts from passive usage to a more operationalized role. For example, shared data governance mechanisms can automatically approve and provision for centralized governance rules, allowing data stakeholders to share access to relevant data sets more efficiently. This also removes the traditional IT bottleneck for data access, enables low-latency data sharing, and puts data stewards in charge of delegating who has access to what data. 

Data Quality 

As data governance becomes increasingly embedded in operational systems, guaranteeing data quality will be more important than ever. Expect companies to embrace automation as means for assessing quality at every stage. In addition, data reliability engineering, which is based on thoroughly evaluating metadata to ensure that the resulting data is reflective of reality, will gain more traction. Master data management will also evolve to address new data quality expectations. Check out this previous APEX of Innovation post for more on what we can expect from MDM.

Machine Learning 

Data governance’s extension into operations also affects the machine learning sector. The features that train cognitive analytics models can be treated as metadata, and governance then expands to manage the ML models and learning processes. This ensures that models are accurate, correctly managed and that the organization is aware of the interrelationship of those models and where they’re applied throughout the environment.

For more on the above and other ways in which data governance delivers operational functionality, check out this InsideBigData article.