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The Imperative Of Data Discovery And Classification In The Enterprise

Oct 06, 2023 - forbes.com
The article emphasizes the importance of data discovery and classification in today's data-driven enterprises. It outlines six key reasons: data security, data access control, data residency, shadow IT, risk management and compliance, and operational efficiency. The author argues that not all data is equal, and through effective classification, businesses can assign appropriate security levels, control access, comply with privacy laws, manage shadow IT, mitigate risks, and improve operational efficiency.

The author further asserts that understanding and managing data is crucial in an era where data is both an asset and a potential liability. Effective data discovery and classification can help companies harness the true power of their data, drive innovation, ensure security, and achieve sustainable growth. As data continues to grow in volume and complexity, the role of these disciplines will only become more critical.

Key takeaways:

  • Data discovery and classification are crucial for modern enterprises as they help in data security, access control, and compliance with privacy laws.
  • Classifying data helps in defining who gets access to what, ensuring that employees have the information they need to perform their roles effectively and minimizes the risk of unauthorized or accidental data exposure.
  • Understanding and managing data appropriately is paramount in an age where data is both an asset and a potential liability.
  • Through effective discovery and classification, companies can harness the true power of their data, driving innovation, ensuring security and achieving sustainable growth.
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