Case Study

How a Fast-Growing Biotech Company Scaled Testing for DevOps Success

A fast-growing biotech company enables the nation’s leading hospitals to focus on providing world-class care for their patients, through innovative clinical engineering and asset management offerings. These offerings take the burden of closely monitoring aging fleets of clinical assets off of hospitals, and the company is embarking on digital transformation initiatives in order to remain the leader in their industry. This transformation will allow the company to provide their customers with new levels of data-driven insights, resulting in even greater cost savings and freed capital expenses.

In the last few years, our customer has gone from being a $350 million (USD) organization, to generating $1 billion of annual revenue today. This is a tremendous accomplishment, and they’ve launched a new company-wide initiative focused on hitting hard, top line targets that will optimize their people, processes, and tools so their IT budget doesn’t have to increase with each new customer they land

On top of their ambitious digital transformation initiatives, our customer is also turning to DevOps to help them deliver software and digital services at a faster pace. The organization’s development and test team knew that faster delivery speed could not come at the expense of software quality, and that continuous testing would be required to achieve speed and quality at scale. “The manual testing that we’d previously relied on simply couldn’t keep up with our growth rate, and where we wanted to be, quality-wise, for our customers,” said the company’s Software Quality Assurance Manager. “We knew we needed to ramp up our automation, but with a QA team without a strong coding background, scaling was going to be challenge with a script-based solution.”

“Maintaining the risk coverage our business—and our customers—depended on was no longer going to be possible with manual testing, or a script-based test automation solution that would be difficult to maintain. Our CIO challenged us to find a single, comprehensive platform that would meet our scalability needs, and integrate with our existing tooling, and we found that in Tricentis Tosca.”

Software Quality Assurance Manager

The Tricentis Solution

While DevOps and digital transformation are often top-down initiatives coming from upper management, modernizations in software testing haven’t always been on the C-suite’s radar—but that’s changing. “It was actually our CIO who directed me to find the best continuous testing platform for our organization’s unique needs. He knew it was a must-have,” said our customer. It was really important for our QA team to not be the only ones impressed by what Tricentis could do for us, and it didn’t take long for our dev team, integrations team, and even our executive leadership to see the value that Tricentis would bring.”

Like all enterprises, our customer leveraged a diverse suite of existing testing technologies before adopting Tricentis Tosca. From open source solutions, to packaged applications from SAP, ServiceNow, Salesforce, and others, Tricentis Tosca seamlessly integrates with these existing investments, and provides real-time risk-assessment for the lines of business these technologies support.

“There’s always risk in any change, and as we embark on this digital transformation journey, we’re positioned to collect, analyze, and respond to change faster than ever before. That’s a huge benefit,” says our customer. “Our clients want, and need, to be able to focus more on their patients, and continuous testing is ones of the ways we’re making that possible for them.”

Results

  • Measurable boosts in tester efficiency that align with Lean initiatives
  • Integrations with leading packaged applications from ServiceNow, SAP, and others
  • Aligned with risk-based testing that identifies risks early for actionable resolution
  • Eliminate the need for scripting for easy adoption by non-technical resources
  • Support for session-based exploratory testing with low overhead
  • Repeatable speed testing around key workflow scenarios
  • Cost savings from traditional, manual testing efforts