Why Do You Need Qa Transformation To Achieve Strategic Business Growth?

By Author: James Danel
Total Articles: 7
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With organizations getting on the digital transformation bandwagon to stay competitive and drive business growth, they should continue to work on QA transformation as well. The rising challenges of cybercrime and the rapidly changing business dynamics and customer expectations need all vulnerabilities in the software systems to be plugged and ensure the latter are of top quality. The acceptance of testing or QA as an independent function in the SDLC to drive the development of better quality products has become critical for enterprises.
Since enterprise QA transformation has a deep impact on achieving business objectives, it should be subjected to assessment for selective improvements. This is all the more important as most conventional QA models are not enough to assess the maturity of the test process. The requirement is for a comprehensive QA model with desired attributes that helps to achieve strategic business growth.

Why QA transformation?

The importance of software application systems in driving business enterprises and generating revenues has become apparent in recent years. However, there are challenges galore for businesses to achieve their desired objectives owing to a slew of factors. These include volatile economic conditions, advent of new technologies, rising level of competition, threat of cybercrime, and pressure to control costs and increase ROI. Consequently, business enterprises have to focus on processes that improve the overall quality of software applications, lower costs, and increase the time to market. So, rather than improving the quality of software applications alone, it has become apparent that better quality IT systems and processes drive the success of enterprises. Hence, efforts are needed to gauge the maturity and effectiveness of QA processes by planning strategic and tactical steps. The aim is to address every dimension of QA and build different levels of maturity for various processes.

Maturity dimensions of digital QA and testing

The four dimensions to assess the maturity of any digital QA and testing process are mentioned below:

Test engineering focusing on creating and fine-tuning test practices in the SDLC to ensure better testing of software applications and exceeding customer expectations.

Test management focusing on changing the management of QA testing and integrating it firmly within the overall project management cycle.

Test governance focusing on building a foundation for mature testing services by setting standardized test processes, policies, and methodologies.

Test competency focusing on leveraging the domain knowledge and facilitating the career progression of professionals dealing with QA consulting.

How digital assurance and testing can achieve business growth

Achieving business growth is underpinned on a few factors such as adopting disruptive technologies, building the right CX, and reducing costs, among others. However, these factors can only push the narrative if the quality of software applications remains top-notch and compatible with all device platforms, operating systems and browsers and their versions, and networks.

Better test quality: The QA transformation model can help to build a strategic roadmap for improvement by prioritizing and sequencing QA initiatives that are in alignment with the enterprise’s vision. The testers can leverage their experience and knowledge to achieve a superior level of QA maturity.

Early detection of defects: The presence of bugs or glitches can undermine the performance of any software application. These should be identified and eliminated during the development process so that customers get the best product to use. However, in the Agile and DevOps model, testing is conducted alongside development resulting in quicker identification of any inherent bugs or glitches. This saves the enterprise significant sums of money, which otherwise would have had to be spent on rework. Thus, enterprises achieve twin goals of removing glitches and reducing the cost of testing.

Better test coverage: To enable digital transformation of enterprises, the associated IT systems should be subjected to rigorous testing exercises in their entirety. This is possible when the latest QA practices, tools, and methodologies are used.

Better application stability: The model for enterprise QA transformation should have the flexibility to improve the testing capabilities continuously and realize the stability of the application. This, in turn, helps to generate a better customer experience and revenue for the enterprise.

Conclusion

The QA transformation model has become extremely important to address the dynamic business requirements in light of the various delivery structures of business enterprises. QA consulting helps to develop and execute mature testing practices to achieve exceptional quality products, reliably and effectively. The model ensures the quality and maturity of testing processes leading to efficient business operations and successful business outcomes.

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James Daniel is a software Tech enthusiastic & works at Cigniti Technologies. I'm having a great understanding of today's software testing quality that yields strong results and always happy to create valuable content & share thoughts.