7 steps to continuous improvement data governance
The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms.
So how does data governance relate to DataOps? Data governance is a key data management process. For this reason, it needs to operate on the principles of continuous improvement, making testing and learning a key step before integrating new insights into future cycles. But how would this work?
Check out Alation's explanation at their blog and find out why the principles of continuous improvement are a necessary application to data governance.