Some of the best practices relating to TDM are as follows:
Test data analysis or data discovery: Capture end-to-end business processes and the associated data for testing by identifying sensitive information stored across multiple applications and file formats to provide an accurate picture of the data types available, locations, and compliance with industry-specific regulations.
Extract a subset of production data from multiple data sources: Obtain realistic and referentially intact test data from multiple data sources to create a subset of realistic test databases small enough to support rapid test runs but large enough to accurately reflect the variety of production data.
Test data privatization or masking: Create realistic data in non-production environments without exposing sensitive information to unauthorized users. Compliance with Security guidelines (PII, MNPI, HIPPA, PHI, and so on) without impacting development process.
Gold copy of production environment...