THE QUALITY BLOG

by System Verification

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Skills and Expertise (2)

Test data challenges_System Verification

Tackling Test Data Challenges for Sustainable Quality Assurance

In today's rapidly evolving energy sector, effective Quality Assurance (QA) practices are vital for ensuring the reliability and functionality of business support systems. One of the key factors that contribute to successful QA is the availability of accurate and up-to-date test data. However, obtaining and maintaining the correct data for comprehensive functionality testing can be challenging.

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Customer retention focus_Energy sector_System Verification

Elevating End-User Experience for Enhanced Customer Retention

Customer retention is a top priority in the energy sector, making the end-user experience a critical factor. In this blog post, we'll delve into the QA strategies and best practices aimed at creating a seamless experience for all customers, regardless of their energy consumption needs.

The energy companies customers are demanding and more mature of the digital experiences. Higher standard required. People want more intuitive and seamless digital experiences and are less loyal because it is easy to change energy supplier. The energy companies have to prioritize the end-user experience.  

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Energy sector_top 5 opportunities_System Verification

Empowering the Energy Revolution

The Critical Role of User Acceptance Testing in Software Development Excellence

As the energy industry undergoes rapid change, the need for improved software development takes center stage. In this exploration, we identify three key areas where the energy sector can enhance its software capabilities.

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Advanced Security for Azure DevOps

Everyone in software development is under stress to make sure to not introduce any vulnerabilities to the application/code. If you do not have that mindset, then probably your security department will chase you after some scanning is being performed. They might run occasionally or on a scheduled basis some scans that might find vulnerabilities in your application. But, how do we minimize that possibility? It's not rocket science that you should first have a security-oriented mindset in your team, but also include some SCA (Source Composition Analysis), SAST (Static Application Security Testing), and DAST (Dynamic Application Security Testing) in your CI CD setup. 

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The Black Friday Challenge: Why Software Quality Assurance Is Crucial for E-commerce

Black Friday, the day after Thanksgiving, has become an annual shopping frenzy where retailers offer massive discounts to kick off the holiday shopping season. For e-commerce companies, this day and similar occasions like Cyber Monday represent a crucial opportunity to boost sales and profits. However, the surge in online traffic and transactions can also lead to unexpected challenges, making software quality assurance (QA) more critical than ever. In this blog post, we will explore why software QA is so important for e-commerce companies during Black Friday and similar occasions.

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AI-Powered Quality Assurance_System Verification

AI-Powered Quality Assurance: Ensuring Your AI-Integrated Systems Thrive

In the age of Artificial Intelligence (AI), businesses are racing to harness the transformative power of intelligent technologies. Integrating AI into your systems promises increased efficiency, automation, and the ability to make data-driven decisions. However, in this pursuit of innovation, there's one crucial element that's often overlooked – quality assurance.

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The Risks: Why AI Quality Assurance Matters_System Verification

The Risks: Why AI Quality Assurance Matters

In an era driven by Artificial Intelligence (AI) and its transformative potential, the importance of AI quality assurance cannot be overstated. The risks associated with inadequate quality assurance in the world of AI are not just potential pitfalls; they are profound threats that can have far-reaching consequences for your business. From brand reputation to financial stability, data security, regulatory compliance, and seizing valuable opportunities, AI quality assurance is the safeguard that ensures your AI-driven systems thrive in this ever-evolving landscape of intelligent technologies.

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