Is RPA Shaping the Future of Test Automation?
Unleashing the Power of Automation
Today, organizations face a perfect storm – technology changes, the fragility of customer’s loyalty, and the intense pressure from all across to keep the cost low. Businesses are forced to explore newer technologies, constantly evolve, and cut down the time from conception to deployment to meet these challenges.
Furthermore, the COVID-19 pandemic has accelerated the organizations’ need to be hyper-productive. Organizations realize that they have to transform to build the capabilities that will prepare them for the future. They are thinking of ways to drive efficiency and effectiveness to a level not seen before. Moreover, there is a strong push for automation to play a pivotal role in making that happen. It is also clearly reflected in the testing domain, where any opportunity for improvement will be welcome. Organizations want to adopt RPA in testing, realizing the need to drive efficiencies and reduce manual efforts.
We are at a tipping point where RPA adoption benefits are clear; what is needed is to add further efficiencies to existing frameworks. Pandemic has ramped up innovation and scale automation.
Business and technology leaders will demand clear, direct benefits from investments in a digital workforce in the post-pandemic world. Automation will be taking on an even more critical role in a post-pandemic world as business resilience and cost takeout become the main destinations on the technology roadmap.
According to Gartner, Robotic Process Automation Software Revenue worldwide will reach nearly $2 Billion in 2021. Despite Economic Pressures from COVID-19, RPA market forecast to grow at double-digit rates by 2024.
In the last decade, automation has evolved and matured with time and changing technologies. Automation in testing is not new, but its effectiveness has been a challenge – especially the associated expense and lack of skill sets.
Within an enterprise, RPA can cut through the maze of toolsets, replacing them with a single tool that can talk to heterogeneous technology environments. From writing stubs to record and playback to script less and modular testing, and now to bots, we witness a natural evolution of test automation.
In this next-gen testing brought about by RPA orchestration, an army of bots will drastically transform the time, energy, and effort required for validation and testing. We are gradually heading towards test automation that requires no touch; no script works across heterogeneous platforms, creates extreme automation, and allows integration with opensource and other tools.
According to Forrester, “RPA brings production environment strengths to the table.” It translates into production-level governance, a wide variety of use cases, and orchestration of complex processes via layers of automation. RPA allows organizations to democratize automation very rapidly within the testing organization.
Needless to say, RPA has an advantage over traditional tools in that it can be deployed where they fail to deliver results.
For instance, when the testing landscape is heterogenous with complex data flows, there is a need for attended and unattended process validation and to validate digital system. These all need an RPA solution that can bring in a tremendous amount of simplicity for building out bots quickly and deploying them with the least amount of technical know-how that even business stakeholders can understand.
The adoption of RPA is gradually gaining immense momentum. However, some organizations get perplexed when it comes to identifying and selecting the right processes for RPA as some operations are more suited for automation whereas some are not.
Selecting the right process and internalizing a technology require a lot of thinking through prior to implementation.
As a thumb rule, however, processes that are manual, repetitive, and rule-based are more suited for RPA implementation.
Within the world of automation, RPA’s role is quickly growing. It has already gained popularity in software testing for efficiently eliminating repetitive manual efforts in end-to-end testing by automating workflows and dissolving data silos.
Accelerating the pace of digital Transformation with RPA
Digital transformation has led to a paradigm shift in how quality is perceived and assured.
RPA helps organizations reshape how they operate and their level of responsiveness at most touchpoints within the value chain.
The core component of any organization’s intelligent automation tech stack is RPA. It enables rapid end-to-end business process automation and accelerates digital transformation journey.
Robotic Process Automation (RPA) is a key driver on the digital transformation journey—which is why, according to Deloitte, 53% of companies surveyed are ready to begin implementing RPA.
Are you automation-ready?
According to recent stats 30 - 50% initial RPA implementation projects fail (Report: Get Ready for Robots – Ernst & Young). With this, businesses are not sure about the desired results after investing in the technology. Enterprises should start bringing RPA into the testing fold if they plan to save resources, reduce defects, and prepare for a future that is already closer than we perceive.
Fast-track your Intelligent Automation journey with Tavant.
We believe that intelligent automation is not only about new-age technology. For Tavant, it’s much more. We are working with organizations to orchestrate new ways of working and embed intelligent automation into their operations to drive continuous innovation and business impact.
Want to know more about the potential of RPA in testing? Reach out to us at [email protected] or visit us at www.tavant.com to understand how we can help your business navigate next.
Learn more: https://www.tavant.com/quality-engineering
