Best Data Governance Practices That Enterprises Should Adopt. If there's one show you shouldn't miss it's here. Let's explore it with us now.
As much as seeking and acquiring data is essential for an enterprise, equally important is its management. Data management and governance have become an integral part of company functions. In plain words, data governance concerns itself with the data privacy requirements, big data technologies and associated responsibilities, data governance approaches regarding the IT infrastructure. It also defines who within the organisation will have the authority and control over the data assets and encompasses the people, resources and technologies required to manage and protect the data.
Implementing a data governance framework impacts data management processes and models, its proper execution, and lays the foundation for smarter and faster decision making. Different organisations adopt different methodologies to govern their data. While these frameworks may differ from case-to-case, there are a few best practices that we discuss below.
The first step is to understand what is data governance. Data Governance is an overloaded term and means different things to different people. It has been helpful to define Data Governance based on the outcomes it is supposed to deliver. In my case, Data Governance is any task required for.
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