The Role of RPA in Transforming the Digital Ecosystem

The success of digital transformation is premised upon the quality of business processes, applications, human resources, and environments involved. And to ensure the quality of such elements, including that of the legacy systems, test automation is the way to go as a step ahead of manual testing. It helps to mitigate glitches associated with any software development process and addresses the testing issues associated with any repetitive processes. Robotic Process Automation (RPA) has emerged as the technology to automate repetitive and manual processes using various RPA tools. These tools enable the running of codeless automation and can perform repetitive activities that manual testers find very challenging to attempt. RPA testing allows testers (and developers) to save resources, effort, cost, and time in developing and delivering software products. Given its impact on testing in terms of speed, accuracy, and consistency, enterprise RPA can be applied to a wide range of systems across domains in the future.

In a conventional SDLC, testing needs a test environment before deploying the product in a production environment. However, there can be times when the testing environment is not available, especially with projects such as accounting, HR, and customer relations that are mostly dealt with by third-party providers.

What is RPA?

Robotic process automation helps to automate tasks that are routine, repetitive, mundane, and standardized to generate higher productivity with lesser investment. Here, a computer bot captures, interprets, and analyzes software applications through data manipulation, triggering responses, executing transactions, and communicating with multiple IT systems within the domain. It is gaining currency, especially in the BFSI sector, due to the large volume of transactions and benefits it accrues. RPA allows any business the requisite flexibility and scalability to perform tasks quickly, accurately, and consistently.

What are the best ways to implement RPA testing?

Robotic process software testing makes a software application resilient, stable, glitch-free, and cost-effective. The best ways to implement the same are:

Understanding and analyzing the requirements: The tester should be aware of the end-customer and his or her expectations from the software application. The tester should analyze every single line of the code to understand the process workflow.

Create test cases: Test cases are the quintessential elements of any automated testing exercise, and the overall software quality depends on how the RPA software testing is conducted.

Create your own bug: Check the input data and its output to validate the results. Create your own bug to test the code to know more about code efficiency. Any unused code should be removed from the testing process.

How does robotic process software testing help

The benefits of implementing enterprise RPA are as follows:

l Since the RPA tool can capture the repetitive interactions of IT systems, it is possible to conduct several GUI test automations simultaneously.

l Reduces the processing time by a long margin.

l Preferred for easy adaptability and smooth life cycle.

l Allows the easy testing of web portal data by scanning or scraping its functionality.

l Delivers great data accuracy and accelerates the time to market.

l Ensures the productivity and accuracy of user acceptance testing.

l Safe and non-invasive technology that doesn’t interfere with the systems and performs activities across the board consistently.

l Improves the quality of analytics due to seamless access to error-free and accurate data from various sources. This helps in streamlining the process flow and enabling better decision making.

l Allows the deployment of human resources for the right jobs instead of repetitive ones. Human resources can then be involved in carrying out core activities such as relationship management, customer interaction, research and development, among others.

l Leads to better customer satisfaction with the quality of work being delivered. This adds to the brand value and profitability of business.

l Since bots handle most of the processes for RPA services, the work gets done with accuracy and consistency in the shortest possible time.

l Helps to tally data and information derived from multiple systems to generate valuable information. This helps in the integration of processes.

l Can be deployed across industry verticals to perform a host of activities.

l Any rule-based identifiable and repeatable process can be automated.

l Robotic process automation improves the operational efficiency of service desks. It allows business enterprises to manage spikes in workload without having to involve additional human resources or training them.

Conclusion

RPA services are transforming the digital ecosystem by increasing efficiencies, quality, and productivity across domains. It is said to contribute to optimizing knowledge work by connecting concurrent systems across domains. Its easy adaptability across systems can deliver on outcomes such as scalability, usability, accuracy, simplicity, flexibility, and cost savings.