Successful enterprise data governance relies on several key factors. IT leaders and their teams need to know where their data comes from, how it gets processed, and what value it ultimately generates.
Ultimately, the entire data lifecycle must be taken into account. Organizations that do this unlock significant value through efficiently categorizing and validating data. They equip employees, partners, and users with the access they need when they need it, which can dramatically improve performance, profitability, and the overall user experience.
However, gaining this kind of insight requires a secure and well-designed IT infrastructure. Organizational silos need to be broken down and flattened. Data sources must undergo rigorous authentication. Errors need to be identified and corrected.
To do this, enterprise IT teams must create a comprehensive data mapping framework. IT leaders need to invest in data lineage solutions that help them achieve governance and compliance goals, providing a clear understanding of how data flows throughout the organization.
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