Storing and maintaining data is a never-ending process. Excess data can slow down operations, diminishing profitability and public image. Teams must continually assess, organize, and, where appropriate, delete their data, a process collectively known as data remediation.
In this guide, you’ll find:
- A well-defined data remediation process and its stages.
- The risks of inefficient data remediation practices – and explain when it’s necessary.
- The five best practices for efficient data remediation processes in 2023.
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