Tag: Quality Management

Beyond Conventional QA: Reinventing Quality Engineering for the Phygital Era | Blog

Enterprises are welcoming the adoption of phygital systems, blending physical and digital elements for next-level product experiences. While these innovations offer significant benefits, they also introduce unique quality challenges that require specialized quality engineering, multidisciplinary talent, and strategic partnerships. This blog explores these challenges and the necessary transformations needed to ensure seamless phygital experiences. Reach out to discuss further.

Enterprises are rapidly embracing phygital systems, or the integration of physical and digital components to bring out innovative and immersive product experiences in the market. For example, in the healthcare domain, medical devices are being augmented with digital capabilities for remote monitoring, telemedicine, and data-driven diagnostics. Point-of-sale (POS) systems are evolving into phygital systems with the integration of digital payment gateways, inventory management, and data analytics capabilities. The gaming industry is pushing boundaries with immersive phygital experiences through advanced gaming consoles, virtual reality (VR) headsets, and haptic feedback controllers. Automotive companies are revolutionizing transportation with connected cars, advanced driver-assistance systems (ADAS), and autonomous driving features. While these emerging workflows enhance user experience, they also increase the surface area of potential quality leakages.

Enterprise phygital challenges and the role of quality function

As enterprises accelerate the introduction of phygital systems to the market, they open the door to more encounters of unique quality challenges. Enterprises now recognize that compromised product quality can have severe repercussions, including business losses and brand erosion. Consequently, they must proactively plan for contextualized quality engineering interventions tailored to address these specific challenges. The exhibit below illustrates several domain-specific phygital quality engineering challenges and potential solutions required to ensure seamless phygital experiences.

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Evolving quality functions to serve emerging phygital assurance needs

Addressing the quality challenges outlined above will require fundamental rejigging of quality functions across key critical dimensions highlighted in the exhibit below.

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  • Transforming quality engineering talent: Quality engineering professionals will have to develop multidisciplinary skillsets spanning hardware, embedded systems, data validation, and deep domain expertise. Upskilling in essential areas such as regulatory compliance landscape, payment gateway workflows of POS systems, game logic, and safety requirements of automotive systems will be key for phygital assurance success
  • Adopting specific toolsets: Beyond traditional software quality engineering tools (be it open source or third-party toolsets), phygital assurance mandates would require investment in specialized toolsets such as hardware-in-loop (HIL) testing, robotic arms, and data validation tools. Enterprises will also need to invest in developing expertise in using these specialized tools
  • Forging external partnerships: Forging partnerships with external technology and service providers will give enterprise access to specialized product engineering and testing expertise these firms already possess, which will help enterprises in attaining phygital success

The road ahead

As enterprises race to roll out phygital products, faster time-to-market will not be a differentiator, but a necessity to attain competitive advantage. But this quest to shorten release cycles cannot come at the cost of product quality. Phygital assurance expertise is critical to ensure flawless phygital experiences. However, enterprise in-house capabilities alone may not suffice, and hence, ecosystem partnerships are pivotal. Enterprise must judiciously select partners that can bring in the right set of quality engineering talent and toolset expertise that will help enterprises meet their assurance requirements.

To share your thoughts and discuss research on the future of phygtial assurance, please contact Ankit Gupta, [email protected], or Ankit Nath, [email protected].

Check out our webinar, Engineering Services in 2024: The Market Outlook and Commercial Trends, to learn the pricing outlook, commercial dynamics, market attractiveness, and evolving buyer expectations for engineering services.

Product Quality Management: You (Don’t Have To) Walk Alone | Sherpas in Blue Shirts

My most recent blog focused on why quality management (QM) is a critical contributor to enterprises’ ability to take great products to market. Now, let’s turn our attention to who can – indeed, perhaps should – perform product QM work for organizations.

Viewing QM activities as a core competency, enterprises have traditionally conducted them in-house. In some cases, they’ve engaged their global in-house centers (GICs) to handle some aspects of QM in order to reap the benefits of factors such as talent access and cost arbitrage, while still retaining control over issues such as IP protection and close integration with the parent entity, which is key for product design and development.

However, the advent of innovative engagement models (e.g., outcome-based pricing, collaborative IP, etc.), the pervasiveness of digital technologies, and advancements in data and IP security measures are instilling confidence among enterprises to partner with third-party service providers for their product QM activities. Recent investments by service providers in building IP and enhancing their capabilities in this space – spurred in part by slowing growth in more traditional ITO and BPO areas – is strengthening their case with enterprises. Indeed, Everest Group research shows that global sourcing in the QM space will grow at an impressive 16 to 18 percent through 2020 – higher than the growth expected in the global sourcing space for overall engineering services.

Following are some of the ways in which third-party service providers can deliver product QM value to clients.

 

Engineering Services, Product Quality Management, Quality Management, Quality Management Services

 

Of course, outsourcing product QM does come with risks and challenges. Factors that enterprises should consider when weighing a product QM outsourcing decision include:

 

Engineering Services, Product Quality Management, Quality Management, Quality Management Services

 

When evaluating a particular outsourcing service provider for product QM work, enterprises should evaluate factors including talent availability, infrastructure availability, delivery capabilities, ability to scale up/down, innovation-focus, expertise in digital themes, inclination towards outcome-based business models, and client satisfaction.

Everest Group has conducted deep-dive research on the global sourcing landscape in the product engineering space, covering all the activities involved in the validation, verification, and testing of both hardware and software across the product lifecycle. We have studied twenty-three of the leading engineering service providers in the QM services space, and have analyzed them on parameters including capabilities, scale and scope of services, and IP/investments. Following is a sneak peek into our relative analysis of these players based on their engineering services play, revenue and revenue growth, and coverage of QM services.

 

Engineering Services, Product Quality Management, Quality Management, Quality Management Services

 

Please click here to read a preview of our report, “Identifying the Right Partners for Quality Management in the Engineering Services Industry – Service Provider Landscape.”

Quality Management in Product Engineering: You Just Can’t Afford to Ignore It | Sherpas in Blue Shirts

What do products like the Samsung Galaxy Note 7, the Toyota Corolla/Yaris (in 2016), and the Fitbit Force (in 2016) have in common? All were potentially great products that cost their companies dearly – in both image and money – due to faulty performance resulting from poor quality management.

Enterprises have come to realize the significance of quality as an indispensable ingredient for creating impactful products. They not only view product quality management as a cost-saving measure (preventing the costs of rework, wastage, regulatory breaches, warranties, product recalls, etc.) but also as a way of accelerating product launches and creating a differentiating value proposition in increasingly commoditizing markets. Given the vast intermediation of product supply chains among vendors, technology partners, assembly partners, and logistic partners in today’s operating environment, the need for quality management activities is even more pronounced as products flow from one stakeholder to another.

Yet, despite acknowledging the positive impact of product quality management, many enterprises grapple with fully integrating, and regularly upgrading, their quality management initiatives across business activities. Some reasons for this are:Quality Management, Quality Management Services, Product Quality Management

To counter these issues, enterprise stakeholders need to commit to quality management as seriously as their other business mandates (innovation, margins, etc.) They should also be open to the idea of partnering with external entities and service providers in areas where their internal capabilities fall short on yielding the desired levels of quality standards.

Product Quality Management in the Digital World

Digital themes like mobility, IoT, and data analytics are enabling enterprises to build new capabilities in their products and enhance the customer experience. The advent of IoT and automation has also led to a transformation of production processes, wherein enterprises can build their products more smartly and with shorter turnaround times.

However, many enterprises face initial failures in bringing robust digital products to market because they tend to focus only on developing digital products, completely ignoring the need to adapt the underlying processes to ensure the reliability and quality of these products. This is the same as having a Euro Standard VII vehicle engine ready for market, but not having focused one bit on developing compatible fuels. We all can guess how successful (at least in the near term) these engines will be.

Digitization has thus ushered in a new era of product quality management, where capabilities need to be enhanced for testing more sophisticated products while factoring in for data management and security. Further, advancement and automation of production processes is creating the need for redefining metrics and KPIs for quality management.

So, what immediate steps should enterprises take to develop digital-ready and digitally-enabled quality management activities? They include:Product Quality Management, Quality Management, Quality Management Services

Everest Group has conducted deep-dive research on quality management services in the product engineering space, covering all activities that are involved in the validation, verification, and testing of products (hardware or software) across the product lifecycle. The research covers the market landscape of quality management services, and delves into the role of digital technology themes in reshaping the way enterprises look at their product quality management efforts. Read a preview of our report, “In Pursuit of Product Excellence: Quality Management in the Engineering Services Industry.”

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