Data Governance, Test Data Management, Healthcare, Perforce

Driving Digital Transformation While Controlling Cost and Ensuring Data Compliance With Perforce Delphix

Driving Digital Transformation While Controlling Cost and Ensuring Data Compliance With Perforce Delphix

About the client

The client is a Fortune 500 managed care company based in Long Beach, California. Their health plans serve more than three million members, primarily through government-based programs, including Medicare and Medicaid.

Client challenges

  • Perforce Delphix onboarded over 3,000 databases and over a petabyte of data within the first few months. It enabled the client’s IT organization to support development teams by reducing environment setup time from weeks to minutes.
  • The client adopted Perforce Delphix’s data-masking practices to secure PHI data in non-production environments, ensuring compliance with privacy and security requirements. The solution automatically masked and delivered secure datasets to downstream environments for development, testing, and analytics.

Solution

  • Within the first few months of selecting Perforce Delphix, the client onboarded over 3,000 databases and over a petabyte of data into the Perforce Delphix DevOps Data Platform. This allowed their IT organization to better support development teams by reducing the time required to set up environments from weeks to just minutes.
  • To satisfy data privacy and security requirements, the client adopted data-masking practices from Perforce Delphix to secure protected health information (PHI) data in non-production environments. Together with Perforce Delphix, they developed a solution that automatically masks and delivers secure datasets to downstream environments for development, testing, and analytics

Benefits

  • Accelerated application development, reducing project timelines by 50%.
  • Provisioning new environments in just 10 minutes, compared to 2-3 days previously.
  • Significant storage savings, reducing requirements from 4PB to 200TB.
  • Improved collaboration and issue resolution between development and testing teams.
  • Advancement of reporting and analytics capabilities for better data-driven decision-making.

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