Messaging Architects, an eMazzanti Technologies Company and data governance expert, examines the future of data governance in a new article. The informative article first explains that collaborative data governance focuses on engaging people and processes to uncover business benefits.
The author then asserts that moving forward, data governance strategies will include an emphasis on building data literacy, harness technologies like AI and machine learning (ML) and streamline metadata management while addressing the complexities of the cloud. He briefly addresses each of these points as they relate to the future of data governance.
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“Once focused mainly on regulatory compliance and mitigating risk, data governance is experiencing a marked shift in focus,” stated Greg Smith, Vice President of Services Delivery at Messaging Architects. “The future of data governance will move beyond simple compliance to a more proactive and holistic approach.”
Increasing Data Literacy to Promote Data Democratization
“Moving forward, successful organizations will work to democratize data with the goal of making trusted data safely available to those who need it. Data literacy efforts aim to educate users about best practices for securing and processing data. When all users take ownership for corporate data, both compliance and data-driven decision making improve.”
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Harnessing the Power of AI, ML and Automation
“Even when companies achieve a high level of data literacy, the huge amounts of data to process require sophisticated technology. In the coming months and years, organizations will increasingly access the power of AI and machine learning to automate the organization and use of data.”
Metadata Management for the Win
“Simply put, metadata consists of information about data. This includes a host of details, from owner and creation date to the history of changes made to the data, rules for access and more. Metadata management, done right, allows organizations to realize several key benefits from their data.”
“Migrating data to the cloud has made data more accessible. However, it raises additional challenges in terms of data privacy, and it affects the data governance strategies and tools involved. To achieve success, companies need to choose data governance tools that work in a hybrid cloud or multi-cloud environment.”
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