Implementing a sound data governance strategy in your cloud is essential for availability, security and usability of data. Read more about governance best practices here.
Companies increasingly rely on data for crucial business decisions. They are both producing and consuming data at unprecedented rates. Consequently, all this data travels to the cloud. Data owners and businesses must understand risk management for data that migrates to the clouds. Therefore, if a company would like to manage and use data constructively, then a sturdy cloud data governance strategy is of high significance.
Why Data Governance?
Your enterprise needs to implement data governance to cover a myriad of data-related concerns. These include risk management, data proliferation, data management, data discovery and privacy and compliance. A sound data governance program must be in place to ensure the availability, usability and security of data in your cloud.
Best Practices
Businesses must be familiar with the framework of data governance to track practices throughout the data lifecycle adequately. Some essential best practices for a robust framework are as follows:
Data Profiling
Data profiling leverages statistics to reveal values in datasets. Organizations can profile data automatically as soon as any data comes into the cloud. This gives clarity in knowing what data assets are available to you.
Data Cataloging
Cataloguing contains structural metadata, object metadata and assessment. Cataloguing can be done based on the sensitivity level of data, with respect to privacy regulations. Organizations and data consumers can access this information from one place and use it as a reserve for search and discovery.
Data Access
Managing the access of data is imperative for data protection. Data consumers must have access to data just as the members of your organization. But access can be controlled through means such as defined identities, groups, roles and therefore, carry out managed access by assigning access rights based on categorization.