Our "2021 State of Data Governance and Empowerment" report shows that the traditional reasons to implement data governance remain largely unchanged, with analytics (35%), regulatory compliance (34%), and better decision-making (27%) as top reasons. However, improved data security (48%) and data quality (45%) debuted as the top two data governance drivers in this latest research.
These new primary drivers align with the increase in security challenges experienced due to COVID-19 in addition to continuing data proliferation, and are primary reasons why 57% of respondents have advancing data governance as a top-five organizational priority. Overall, data governance has reached a new level of maturity, with 87% of organizations reporting they’ve established a data governance program or are in the process of implementing this key tenet of modern business, compared to 49% in prior research.
We also learned that the silos between data governance , data operations and data protection are diminishing as enterprises seek to understand their data and the systems that use and secure it to further empower smarter decision-making.
Of course, compliance is and will always be an important facet of data governance. As the starting point for many enterprises’ governance initiatives, we appreciate the role GDPR played in making the practice more prominent. But it’s time to think bigger, as many organizations are.
A truly comprehensive approach to governance will help ensure your organization’s data assets are serving the needs of both data keepers (IT) and data users (business analysts). It is a collaborative, strategic and ongoing practice that allows you to uncover and track data, understand it within the correct context(s), and maximize its security, quality and value. If you’re considering a data governance initiative, then you can’t ignore these other important drivers: