About Client
One of the leading financial groups of the USA, a Fortune 500 company offering life insurance and protection products, retirement and investment services to more than 5 million customers.
Our client relies on pCloudy to test their app on hundreds of devices with different OS versions and device-browser combinations.
Company Size:
10,000+
Business Challenges
The company is focusing on the mobile app and cross-browser functionality as most of its users use these to make use of their services. A majority of their customers prefer to use a smartphone to get access to all the services. As they have a large user base, it is required to test the app on a large set of devices to ensure device compatibility.
Earlier they had their own device set up but due to high device fragmentation, it was not feasible to retain quality app testing with limited devices. The growing number of devices brought the challenge of IT infrastructure maintenance. It is important to update the system hardware and software on a regular basis and also update the mobile devices to test the app on the latest operating system.
Our Solution
pCloudy was the optimum solution for this kind of challenge as we offered them an on-premise device lab to meet their needs for a robust testing mechanism. This helps them scale up their testing efforts and reduce the time testing time by multifold.
The client chooses pCloudy because of the ease of set up, the ability to meet their stringent security requirements, and our ability to integrate their custom automation frameworks.
Result
By trusting pCloudy, our client can ensure quality at speed to deliver their services through the app. They can be confident about their app quality as pCloudy has bug log and report sharing features. pCloudy generates a detailed report for the tests performed on the app that helps in analyzing the issues. This makes it easier for the testers to catch bugs with less effort and in less time.
Our client saved more than 60K in just mobile device testing costs and increased device footprint by 12X from their previous solution. The teams were able to achieve at least 50% increased testing efficiency compared to their previous practices.
