In this brand new regular feature entitled Heard on the Street, InsideBIGDATA highlights thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Why companies are mistakenly trusting they have complete data governance when it tends to miss key elements of policy or security. Commentary by: James Beecham, Co-founder and CTO, ALTR.
Unfortunately, perfectly well-intentioned leaders mistakenly believe their organizations have complete data governance when in reality, they tend to miss key elements of policy and security, leaving gaps in their governance strategy. Why is this happening? Because modern data infrastructure and its risks have changed significantly over the past few years. Early on, data governance required handling metadata management, discovery/classification, and data quality. Now, data experts have to keep up with a changing, complicated landscape for data sharing and access. When organizations start migrating data to the cloud, they are still responsible for managing both the data itself and the people who use it in that environment. Therefore, companies need to look at data governance and data security holistically to track access, set policies, enforce proper data governance, and secure the data.
