The following are the typical TDM services and TDM architecture:
Data Definition: Build content to drive the TDM process
Data Discovery: Identifies the potentially sensitive or Personally Identifiable Information (PII) stored across multiple applications and file formats and provides an accurate picture of the data available, location, and compliance with industry-specific regulations.
Data Subsetting: Creation of smaller copies of data for non-production purposes
Data Masking: Creation of realistic data in non-production environments without risking exposure of sensitive information to unauthorized users and compliance to security guidelines (PII , MNPI, HIPPA, PHI, and so on) without impacting the development process
Data Validation: To ensure data accuracy, completeness, and compliance of TDM processes
Data Reuse—Data can be stored and reused in different cycles
Data Refresh—This is to keep the test environment up-to-date (an ongoing process)
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