Unified digital platforms orchestrate and link everything vital to an organization's business objectives, from customer interaction to business operations and innovation. Platforms must therefore be available 24 hours a day, seven days a week, function effectively and adhere to highest standards of security, accessibility and ease of use.
Platform quality has a direct impact on business performance, image and long-term client retention. In recent years, we have witnessed a growing awareness of system quality among senior management teams, and a clear shift towards business value assurance rather than merely software defect prevention. Our global quality surveys have revealed that security, digital happiness, client satisfaction and brand protection all are now among the primary quality objectives of leadership teams.
Extending, adapting and upgrading a unified digital platform takes far more than simply testing software applications during development.
Quality validation is expanded beyond software testing to include continuous quality monitoring in production. Automatic and self-running validations, together with predictive analytics based on user pattern analysis, can assist in identifying probable quality flaws prior to their occurrence. Chaos engineering is used to continuously monitor platform resilience and self-healing capabilities in the event of component failure. Additionally, interoperability and robustness are critical for securing the platform's communication among all end-user devices, end-user applications, enterprise systems and smart products. Full platform validation will be spread across many levels of testing across multiple components.
In future, we will see an increased focus on device testing, enterprise system business assurance, IoT and product validation, infrastructure testing and continuous Quality Engineering (QE) across all components. Future QE approaches are bound to require the automation of mundane tasks by leveraging AI to cope with increased quality requirements, offer increased agility and free up human creativity.
This shift from software application testing to continuous QE requires organizations to identify and define the core quality metrics for their unified digital platform. These quality metrics should be made actionable by implementing an enterprise-wide quality dashboard that combines source data from production monitoring and incident management systems, with operational software development data. Quality dashboards should be powered by smart analytic engines that aggregate source data to produce these quality indicators, and must include distinct views for senior management, technology area leaders, product owners and operational teams.