Testing is evolving to keep pace with the business demands and deliver the speed and agility required to thrive in the digital future. Traditional testing tools and processes designed for the old-fashioned months-long release schedules is not a good fit in modern application delivery which requires immediate quality feedback with each new build.

The biggest driving factor of digital transformation is customer experience, and to achieve that you need to deliver flawless, quality products faster. So better QA and testing processes help to reduce time-to-market and help businesses to have an edge over the competition.

Banks and financial services organizations that are at the forefront of digitization have started looking at ways to modernize their QA and testing process along with the modernization of their systems, to mitigate the potential for reputational and financial damages.

With software running almost every business, testing is now a business issue. This new business- driven approach to testing is key, if organisations are to become ready for continuous delivery of change and ensure that testing accurately reflects real life production scenarios.

Some of the most common IT failures often come from undertested interactions between legacy, home-grown and digital systems across the front, middle and back office.

AI at the core of digital transformation

Validata’ AI-powered test automation platform is designed to deliver end-to-end business testing of these processes and workflows across web, mobile and desktop applications, helping banks accelerate digital innovation.

Leveraging AI, iRPA and analytics, Validata analyses data from past projects to drive the current testing efforts to the right direction. For example, mining defect data from past releases and then exploiting this data to define test suites which find defects and application areas most prone to defects to improve your organization's digital testing practices. It improves predictability in application quality, increases the levels of automation, and increases efficiency and productivity.

Data and Service Virtualisation accelerates testing

Service virtualization reduces the costs and the time required to test due to system interdependencies and constraints. More than ever, more and more banks want to emulate backend system dependencies and have self-service access for their testers and developers to quality production-like data for non-production use cases on demand.

By emulating the behavior of essential components that will be present in a final production environment, service virtualization allows complex applications to go through integration testing much earlier, removing any risks that would otherwise delay production and time-to-market of an application.

Validata delivers the right data in the right place at the right time with game changing features such as:

• End-to-end masking
• Data discovery from multiple sources
• Data regression and data manipulation
• Data archiving
• Synthetic data creation
• Natural language processing for faster data search
• Data virtualization and data subsetting

Testing more with less

To keep up with this pace, QA teams are being asked to deliver more with less time and less resources. But there is simply not enough time to test everything – every possible customer journey before each release. In most cases application readiness is based on the number of test cases. But all tests are not created equal.

Validata allows you to minimize the number of test cases required for optimum coverage and lower business risk. This means that the testing activities can be aligned with the risk business objectives and the organization can achieve a higher ROI, faster time to market while reducing business risk.

Using advanced analytics for decision support

Today’s digital systems require QA and testing teams to gain actionable intelligence from every interaction which can be used for predictive and prescriptive decision making in testing and delivering digital assurance.

Validata pulls data from the full IT stream, from business requirements to production deployment, and consolidates thousands of data points with complex interdependencies for ongoing evaluation of iterative changes. So, clients have the ability to make decisions that radically improve the quality of their software releases, increase the performance and productivity of their teams and reduce their operational costs.