AT&T slashes test data provisioning to minutes and time-to-market by 80%

We’re on a journey to modernize our apps and to realize the benefits of embracing a DevOps methodology. But while implementing a DevOps methodology and moving to agile is great in theory, you hit a roadblock if you don’t have realistic data to test against. K2View Test Data Management provides a self-service approach for our teams to provision test data on demand – without impacting production source systems.

Ward Chewning
Vice President of Network Services and Shared Platform, AT&T

The business impact for AT&T

With K2View Test Data Management, AT&T was able to:

Cut the time to create test data from weeks to minutes
Accelerate development speed-to-market by 80%
Reduce
manual testing resources
by 30%

AT&T Communications is the world’s largest telecommunications company, the largest provider of mobile telephone services, and the largest provider of fixed telephone services in the United States.

As part of providing these services and an exceptional customer experience, the company is continuously developing and improving applications for both customers and internal operational support. However, despite its adoption of DevOps and Agile methodologies, its lack of fast, on-demand access to realistic test data prevented the rapid time-to-market it needed.

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Key goals

  • Cut the time to provision test data  
  • Improve speed-to-market by eliminating test data bottlenecks throughout software release cycles
  • Reduce overall test data management operational costs
  • Ensure test data integrity and security

To realize these goals, AT&T adopted K2View Test Data Management across all AT&T Business and Consumer Apps, providing the company with high-quality test data to drive agile development, while remaining compliant.

Key challenges

Communications firms, including wireless carriers, cable, and media companies, have enormous amounts of data on their customers, networks, devices, plans, and more. Providing access to the right data at the right time—and to the right person—can transform the customer experience. That’s true whether it is via the web, or mobile apps, or simply providing the support team the insights it needs to provide fast, knowledgeable service. That’s what DevOps is all about—enabling companies to quickly develop, test, and deploy customer and operational systems that keep customers happy.

Testing these apps is where most DevOps and Agile development pipelines slow to a crawl. That’s because the data needed to adequately test and re-test each app is trapped in siloed systems and databases.

Traditional Test Data Management (TDM) involves manual requests, multiple teams, and time-consuming database backups and restores. This means provisioning test data alone can take days or even weeks. Despite the agility a DevOps pipeline promises, this prolongs each test cycle and forces a time-to-market cycle from three to six months—at best.

In addition to negatively impacting time-to-market, traditional TDM’s dependence on manual processes means data experts are tasked with repetitive busy-work instead of higher value-added work. That means the cost to support testing—not to mention masking data to keep it secure—continues to rise over time.

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Results

Communications firms, including wireless carriers, cable, and media companies, have enormous amounts of data on their customers, networks, devices, plans, and more. Providing access to the right data at the right time—and to the right person—can transform the customer experience. That’s true whether it is via the web or mobile apps or simply providing the support team the insights it needs to provide fast, knowledgeable service.

That’s what DevOps is all about—enabling companies to quickly develop, test, and deploy customer and operational systems that keep customers happy.

Traditional Test Data Management (TDM) involves manual requests, multiple teams, and time-consuming database backups and restores. This means provisioning test data alone can take days or even weeks. Despite the agility a DevOps pipeline promises, this prolongs each test cycle and forces a time-to-market cycle from three to six months—at best.

In addition to negatively impacting time-to-market, traditional TDM’s dependence on manual processes means data experts are tasked with repetitive busy-work instead of higher value-added work. That means the cost to support testing—not to mention masking data to keep it secure—continues to rise over time.

See what on-demand test data provisioning can deliver for your enterprise