It is key to understand that governance is part of the overall management of data. Data governance without execution is just documentation. Data governance puts all the policies and procedures in place, and data management executes these pieces to compile and use the data for decision-making. Enterprise data management enables the execution and enforcement of policies and processes that data governance creates. While there are some similarities between data management and data governance—primarily that they are both important to the organization and structure of how data is used in your organization—the magic is in their differences and how they work together. To use an analogy, data governance designs and creates the blueprint for new construction on a building, and data management is the act of constructing the building. While you can construct a building without a blueprint (data governance), it will be less efficient and less effective, with a greater likelihood of a failure in your data structure down the line.
Understanding the core of data management and data governance is key to understanding the data science world of operations. As technology progresses and multiplies over the years, it is advised to gain insight into the nitty gritty of futuristic skills required and certifications to enroll with.
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