Top 5 eDiscovery Data Transformation Techniques
Lineal Services
APRIL 24, 2024
Data Cleaning: Challenges and Best Practices Data cleaning is often the first critical step in ensuring the usability of data in eDiscovery. Best practices in data cleaning for eDiscovery include: Automation Tools : Employing software that can automatically detect and correct errors in data to save time and reduce human error.
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