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Utilizing data classification to tackle data sprawl: Effective methods
Introduction In modern times, organizations are experiencing an exponential increase in the amount of data generated and collected. This abundance of data is not only a source of business growth and insights but also poses major challenges. One of the key challenges that organizations face is data sprawl. Data sprawl refers to the uncontrolled and widespread expansion of data storage across various systems and platforms. As this issue becomes more prevalent, it raises concerns related to data management practices, security, compliance, and cost efficiency. Consequently, organizations must implement effective strategies to manage and secure their data to avoid any potential adverse outcomes. Understanding data sprawl and its impacts Data sprawl can negatively impact businesses, making it essential to address this issue effectively. Some of the key impacts of data sprawl include: The power of data classification in mitigating data sprawl Organizations can harness the power of data classification to combat
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