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In the below posts, learn how data on the mainframe spans a spectrum of interrelated concepts, from protection to management to visualization, among a variety of others. Each of these areas are able to work in tandem to improve the many facets of an organization that customers’ personal information is associated with.

Considering we’re in the era of Big Data, where personal information continues to increase in size and depth, organizations must remain vigilant in finding ways to improve management of people’s personal information by employing a means to efficiently categorize and track interrelationship between datasets. On another level, organizations must stay prepared to comply with new privacy laws that governments are increasingly updating to stricter standards that significantly improve privacy and deter internal and external breaches.

Whether your organization seeks a method for improving data management, such as using a solution that offers visualization, or how it maintains security, we recommend staying in the loop by reading some of the educational content below.

DevOps Test Data: Why Synthetic Is Wrong and Policy-Based Masking Is Right

By | November 17th, 2016|Agile Dev, App Performance, Code Quality, Data, DevOps, Featured, Security|

You can’t accelerate and scale DevOps unless you also accelerate and scale DevOps test data delivery. That’s why every DevOps leader should take a close look at Compuware’s Test Data Privacy solution.

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The GDPR Clock Is Ticking: Pseudonymization and Test Data Quality

By | June 16th, 2016|Data, Featured, GDPR Countdown, Security|

The end users of disguised data—the testers—in a test data privacy project typically have two objections to how pseudonymization affects test data quality. The first objection is easily handled, but the other must be delicately approached with the right solution.

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Why Developers Should Measure IMS Transaction Performance

By | June 9th, 2016|App Performance, Code Quality, Data, DevOps, Featured|

IMS is still used by some of the largest and most important mainframe customers in the world. It still has the ability to be incredibly fast and efficient. But developers often forego measuring IMS transaction performance, a critical component to developing and delivering mainframe software in a digital economy that expects speed and quality.

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