Making the value of technology clear
Tech-Clarity research shows that effective data management helps companies design innovative, high-quality products quickly and efficiently. This report shows how data management best practices relate to business performance based on 131 responses to a web-based data management survey.
Researchers benchmarked participating companies on their performance related to quality, innovation, product development speed, and efficiency. Survey analysis compared companies with the highest performance in these important product development metrics with their data management approaches.
Top Performers Have More Effective Data Management
The data shows that Top Performing product developers are more likely to have very effective data management capabilities. Top Performers are more likely to be able to:
Is it time to change the way manufacturing processes are developed? Products have dramatically increased in complexity and time-to-market expectations continue to shrink. Is a virtual, 3D based manufacturing engineering transformation the way for manufacturing engineers to ramp up products quicky without compromising quality?
Join Tech-Clarity’s Jim Brown and Dassault Systèmes Delmia’s Strategic Business Development Director Adrian Wood in a panel discussion investigating the need and potential to evolve the way manufacturing processes are developed.
Register now for the first of a three-part webinar series.
You can also download the related research from that page, or learn more about the State of PLM in CPG 2022 research on our site.
[post_title] => The Future of PLM in CPG (webcast)
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Jim Brown is hosting a panel of experts to discuss the challenges, benefits, and approaches for deploying simulation technology as a part of a digital twin initiative. Join the fourth interactive discussion in the AMC Bridge Executive Series on Tuesday, April 26, 2022, at 12:30 p.m. EST.
Speakers:
To view past webcasts, please visit:
https://tech-clarity.com/aec-digital-twin-webcast/10947
https://tech-clarity.com/cloud-engineering-software-webcast/10541
https://tech-clarity.com/industrial-additive-webcast/10420
[post_title] => The Role of Simulation Technology in Digital Twins (webcast)
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Heavy equipment is becoming more connected, autonomous, smart, and electrified. Given the increased complexity, how can manufacturers optimize equipment performance without compromising time-to-market? Learn how companies can increase performance engineering maturity to develop more innovative, high-performance equipment with fewer prototypes and lower costs.
Register for this live Siemens webcast on April 26th at 11am to learn the four ways equipment manufacturers can drive higher performance engineering maturity.
For related research, please read our Increasing Performance Engineering Maturity eBook.
[post_title] => Improving Performance Engineering (webcast)
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How much better would your products be if you could improve engineering productivity by reducing engineering time wasters?
Engineers regularly lose productivity to non-value-add tasks that not only rob them of their ability to innovate, but also threaten their company’s ability to compete, differentiate, and grow. Imagine the potential of identifying and removing the most common non-value-add activities engineers face and empowering them to focus on better products. This research, The Business Value of Reducing Engineering Time Wasters, examines how engineers spend their time, where they lose productivity, and the impact on the business. It then identifies solutions and approaches to reduce time wasters. Based on a survey of 228 manufacturers, it focuses on smaller and medium-sized companies and looks at the challenges and opportunities from their perspective.
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Too Many Time Wasters
Unfortunately, engineers report spending too much time on non-value-added work with too many interruptions, taking them away from critical innovation work. Furthermore, 96% of surveyed companies say this loss in engineering productivity comes at a significant business cost due to missed deadlines, higher costs, less innovation, and poor quality. To overcome productivity losses, one approach is to manage product data better and make it accessible to those who need it, when they need it.
Reclaiming Wasted Time
This report identifies major engineering time wasters and examines them across the dimensions of both company size and product complexity. It explores how companies of all sizes reclaim lost time by examining the use and value of PLM (Product Lifecycle Management) solutions to centralize data across multiple domains, manage processes, and collaborate better. PLM users reported fewer changes due to outdated information and errors, significantly reducing non-value-added work and shortening development times. This report also looks at how companies select and use PLM solutions, including cloud-based implementations.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations to smaller and medium-sized companies:
What should you look for in a systems engineering solution for your company to manage multi-discipline systems?
As products become smarter and more connected, they also get more complex. Expert systems engineering practices can help to manage this complexity, especially when you are developing multi-discipline systems. The right technology can also be critical to support those practices. This buyer’s guide, Engineering Buyer’s Guide for Multi-Discipline Systems: The Expert Solutions Guide, provides a framework to evaluate systems engineering solutions to help you select the right solution for your company. It provides checklists for software requirements across multiple aspects of systems engineering, requirements to make the implementation a success, vendor requirements, and special considerations. By evaluating these requirements, you will be better positioned to select the right solution to successfully manage multi-discipline systems.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (no registration required).
Fierce global competition continues to drive companies to seek new ways to competitively differentiate their products. Many achieve this differentiation through smarter and more connected products. This approach creates many innovative possibilities for new products and services.
While smarter products and connectivity create exciting opportunities for innovation, they also bring unique challenges and add new levels of complexity. Much of this complexity comes from requirements to integrate mechanical components, electronics, and software. Connectivity adds further complexity as you add sensors, streaming data, and an ecosystem of connected systems. Whether you are a systems engineer, product architect, or domain-specific engineer, addressing this complexity requires expert systems engineering practices.
To set the foundation for expert systems engineering practices, companies should focus on the entire systems engineering process, ensuring there are solutions for all aspects of systems engineering. Expert systems engineering practices will help companies become even more competitive in ways that will lead to higher growth and greater profitability.
The right technology is an essential part of implementing and supporting these expert systems engineering practices. The right technology will enable improved collaboration, better traceability with a digital thread, and earlier visibility to potential problems. This will result in a more efficient development process while reducing the risk of finding errors late in the process, helping to avoid delays and increased costs. This buyer’s guide will help manufacturers select the right software to support systems engineering.
This guide comprises four major sections covering systems engineering software tool functionality, service requirements, vendor attributes, and special company considerations (Figure 1). Each section includes a checklist of key requirements to support your selection process for systems engineering software tools.
Expert systems engineering practices are vital to take advantage of innovation available through 
embedded software and the Internet of Things. The opportunities to create smart, connected devices can help companies set their products apart from the competition, helping them win new customers and increase revenues. However, bringing together systems of mechanical components, electronics, and software is complex. That complexity grows exponentially as companies try to meet the various needs of customers with different configurations. Connected systems add even further complexity as you add sensors, streaming data, and connected ecosystems.
Complexity increases the risk that things will go wrong. The impact of these problems can have a significant business impact and hurt product profitability. Implementing expert systems engineering practices, with the right software tools to support them, can manage this complexity, making it easier to successfully bring profitable products to market. Even if today’s smart, connected devices are relatively simple, as they evolve and offer critical services such as those that impact safety, they will increase in complexity and need the same level of expert systems engineering practices.
These practices and the supporting solution are not just limited to systems engineers either. There are a variety of IoT-related roles involved with planning, designing, and architecting connected systems, such as IoT solution architects, who will struggle with the exact same challenges as systems engineers. Companies planning for growth should consider both current and future needs.
However, there are so many aspects of systems engineering; determining the right solution for your company can be very difficult. Using a high-level list of tool and process evaluation criteria such as the ones in this guide can help narrow down potential solutions. The lists provide a quick “litmus test” to determine if a solution and partner are a good fit before conducting detailed functional or technical reviews. In the end, it is crucial to ensure that functionality, service, vendor, and special requirements are all considered when selecting a solution.
How can manufacturers bounce forward from disruption with smart manufacturing? Read our short post for some insights from our research and then join a live event to learn from Tech-Clarity's Jim Brown and a variety of other speakers in a live Industry 4.0 event.
A version of this post originally appeared as a guest post on the FactoryEye site.
[post_title] => Bouncing Forward with Smart Manufacturing (guest post)
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Is PLM living up to its potential in consumer packaged goods? Is it ready to support today's digital transformation strategies? What is the status quo for PLM in CPG? We surveyed over 150 companies to find out.
Please enjoy the summary below.* For the full report, please visit our sponsor Kalypso (registration required).
Product Lifecycle Management (PLM) promises enhanced product innovation and faster time to market, leading to higher market share and increased profitability. Who doesn't want these strategic, top-line benefits?
PLM implementations, however, typically focus on increasing control, compliance, governance, quality, and product development efficiency. Those are valuable benefits, but are they enough? Is PLM living up to its potential? And is PLM ready to support today's digital transformation strategies?
Extend PLM
CPG companies can achieve greater benefits if they extend their PLM systems to more people, greater functionality, and additional processes. The most commonly reported driver of significant new value for CPG companies is extending PLM to more people. In many cases, this may be possible with their existing PLM solutions. The same is likely true for extending PLM to more processes. For some, they may also be able to implement capabilities in their existing system that are currently going unused.
Improve Integration
In addition to extending PLM, or perhaps supporting it, is better PLM integration. Between one-third and one-half say that better integration with design tools would add significant value. Integration increases efficiency, collaboration, and the ability to iterate design options. This integration may include formulation, packaging, label design, and CAD tools. Beyond tool integration, many companies report they would gain higher value with better / more integration with business systems, which likely includes ERP and potentially others like CRM and MES.
The majority of CPG companies believe their existing PLM systems are adequate for their current needs. But they also recognize that PLM is vital
to achieving their highly strategic, digital transformation initiatives. The current status quo of using multiple systems, which are typically customized and not fully integrated into the ecosystem, is an inhibitor to achieving digital transformation and extended value. Not surprisingly, the majority of surveyed participants don’t believe their current PLM system will meet their company’s future needs.
Top Performers point the way toward the future of PLM. They adopt PLM as a platform for the enterprise and supply chain that is more integrated, more advanced, more widely adopted, and kept more current. It’s important to note that the systems have typically been heavily customized, and not everyone can afford the tradeoffs between customization, cost, and keeping implementations up to date. But they are rewarded with better innovation, product development, and compliance – all of which help drive higher profitability.
The Future is Bright, But There is Work to be Done
PLM is already driving a lot of value, but the status quo finds most CPG companies unprepared for the future. PLM needs are changing, and PLM must adapt and evolve. CPG companies that want to retain or improve their product innovation performance must continue to improve their PLM implementations and capabilities.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor Kalypso.
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => The State of PLM in CPG (survey results)
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How can increasing performance engineering maturity help manufacturers ensure they’ve fully optimized equipment performance? How does “shifting left” with simulation and closed-loop feedback help improve performance without compromising project due dates?
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Increasing Product Complexity
Harder targets are made even more challenging because of increased product complexity. Equipment is more electrified, autonomous, connected, and configurable than ever. Companies must adopt systems, and systems-of-systems, engineering approaches. At the same time, manufacturers are adopting new materials such as composites, advanced manufacturing methods including additive manufacturing, and innovative design techniques such as generative design. These innovations create designs that can’t be easily validated using historical tests and product performance, demanding new approaches.
Simulation is Critical, but not Enough
Computer Aided Engineering (CAE) has clearly helped manufacturers overcome complexity and reach new performance levels. But the time has come to explore new digital technologies. Traditional simulation benefits may no longer meet the demands of digitalization trends.
In order to get products right the first time, and to “shift left” optimization to get to the best design faster, companies have to be able to predict equipment performance in a variety of facets, including:
What do industry experts and your manufacturing peers have to say about smart manufacturing? Join this live event on April 28th in Cleveland, Ohio to find out.
Our own Jim Brown will keynote the conference, sharing his views on how manufacturers can “bounce forward” from recent disruptions with smart manufacturing solutions. Then you’ll hear from a host of great speakers and have the opportunity to join roundtable sessions to learn from the presenters, panelists, and peers alike.
And if that’s not enough, the Cleveland Manufacturing event starts with lunch and is followed up with a happy hour. Join us to share your experience and learn from others.
List of speakers:
How much of your industrial design work can be leveraged during detail design? Could your products be even better if you had more time to get concepts right by reducing non-value-added work?
An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant time on non-value-added work, which holds them back. Read our eBook, Seven Ways to Reduce Non-Valued-Added Work in Industrial Design to learn how to reduce wasted effort so that Industrial Designs can work more efficiently to help your company develop even better products. You will also learn way to improve collaboration between industrial designers and design engineers.
Please enjoy the summary below.* For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKS (registration required).
For related research, please read our eBook, How to Reduce Non-Valued-Added Work in Engineering to learn more about how to reduce wasted effort and increase focus on value-added engineering and innovation work.
Executive Summary
What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process issues intersect with the five main facets of data management.
Click here for the full report (no registration required), courtesy of our sponsor, Quartic.ai.
Our research shows that companies with the highest tech transfer performance digitalize their tech transfer data and processes. But what does digital tech transfer look like, and how do you get there? This how-to guide shows life sciences companies the way.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).
This guide identifies key steps life sciences companies must take to implement best practices and improve tech transfer performance:
Take the Time to Get it Right
It’s time for life sciences companies to digitalize tech transfer. Tech transfer success for analytical and manufacturing methods is critical to business success and profitability in the life sciences industry. But tech transfer success is multi-dimensional. Tech transfer requires agility, but speed without quality isn’t enough.1 Getting tech transfer projects right the first time helps save money and get to market faster.
Improving Tech Transfer through Digitalization
Digitalizing tech transfer processes and data is fundamental to improving tech transfer success and broader continuous improvement. The following steps can further drive best practices and performance improvements:
How can startup companies improve their chances of success?
Our Startup Survival Guide reveals both how and why simulation can provide startups an edge to launch a successful product. As part of a cloud platform, CAE can also be more accessible to startups.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).
For more information on simulation, see our related research How to Survive and Win New Markets By Getting Even More Value from Simulation and How to Engineer High-Performing, Quality Products without Extra Cost.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
How can you ensure that you choose the right PDM software and partner for your business? The right system serves as the backbone for digital transformation and impacts productivity, product success, and profitability. How can you make sure to get it right?
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
Product Data Management (PDM) is an important tool to help manufacturers overcome the complexities of designing, developing, producing, and supporting today’s products and product development processes. Manual and ad-hoc approaches such as shared folders, cloud storage, and hard drives are simply not effective solutions to manage critical, complex product information. These approaches may work for very small organizations, but quickly falter as organizations grow and must share information beyond a few core engineers. These techniques also fail to manage data relationships and complex file structures common to 3D CAD systems. PDM systems are purpose-built to address these issues.
PDM is a structured, collaborative solution that helps manufacturers control, access, and share crucial product data. Selecting the right PDM system can have a large impact on productivity, product success, and profitability. How can you ensure that you choose the right software and partner for your business?
Purpose of the Guide
The PDM Buyer’s Guide is not intended to provide an all-encompassing requirements list. Instead, it covers the high points that manufacturers should look for in a PDM system. Think of this as a “PDM litmus test” to see if a solution is a good high-level fit for your business before spending significant time and effort analyzing detailed features and functions.
Consider Broader Requirements
Although the checklists focus only on PDM requirements, it’s important to consider more than your current needs when choosing a system. Many companies eventually want to grow beyond basic PDM to a more complete PDM system. These more advanced capabilities are covered in our Expanding Beyond Your Outgrown PDM System Buyer’s Guide. Other companies may start with PDM and evolve through a maturity process to a more complete Product Lifecycle Management (PLM) environment. PLM extends the core PDM foundation to support more product development and engineering processes, manage a richer view of products, include more people in product development, and support processes further upstream and downstream from Engineering in the product lifecycle (Figure 1).
How do you manage system family engineering?
What could justify replacing the MES in an operating semiconductor fab? Advanced capabilities that traditional MES cannot model or support. Significant changes in the business of making microelectronics have created the need for much greater agility and complexity of processing. Seeking out a system that can support current operations is crucial to ongoing competitiveness.
Reimagining Semiconductor MES: Advanced Fab Capabilities for Agility and Success supports semiconductor companies in understanding why the changes to their business demand truly modern, supportive software. Reimagining an MES that supports advanced capabilities in fabs - and then investing in it - is the path to ensure semiconductor company profitability and agility today and into the future.
For related research, please read The Manufacturing Data Challenge.
Please enjoy the summary* below. For the full research, please visit our sponsor Critical Manufacturing (registration required).
New Semiconductor Imperatives
I had the pleasure of joining Dassault Systemes’ special ENOVIA Champions Advisory Board Meeting at the end of 2021. It was a unique learning opportunity because the Champions are a global community of people that use or support ENOVIA and the 3DEXPERIENCE platform at their companies. It was also nice to see some industry friends at the meeting.
I was impressed by the group’s Program activities and participation. The awards presented at the event reflect significant community engagement. The participants are active and not only have a great networking opportunity, they are empowered to learn, engage and influence the ENOVIA leadership team to help drive solution strategy to benefit their companies. Individuals who apply to the ENOVIA Champions Program represent a wide variety of Dassault Systemes customers across virtually every industry from across the globe.
I was also pleased to see the level of organization and support provided by Dassault Systemes. Its logistics support makes participation in the sessions and other related community activities relatively easy. The involvement by the Dassault Systems ENOVIA team, including executive participation by ENOVIA CEO Stéphane Declee and Program leadership by Susan Lenzi, demonstrates that Dassault Systemes’ values interaction with its users. This program is a good example of a highly, mutually-beneficial vendor–customer relationship.
Did you know engineers waste so much time on non-value-added work, they only spend about 54% of their time actually designing? How can you prevent them from wasting too much time on non-value-added work?
Our research uncovered some significant engineering inefficiencies that contribute to this including:
What Can You Learn from This Research?
This report explores best practices for streamlining access to design data in real-time. It also exposes some challenges manufacturers should be aware of as they strive to maintain a competitive edge in today's complex and cutthroat environment. The report also reveals how manufacturers can plan for a modern design environment that will support them through the 2020s.
Can improving design data management practices improve innovation and product development performance? We surveyed 131 companies to understand how they manage CAD files, bills of material, and other product-related information to find out.
Please enjoy the summary below.* For the full report, please visit our sponsor Siemens (registration required).
For related research, please see two of our prior surveys on design data management best practices to see what’s changed: Design Data Management Maturity Improves Profitability, Analyzing Best Practices for Managing Designs from 2017 and Best Practices for Managing Design Data from 2012.
Tech-Clarity research shows that effective data management helps companies design innovative, high-quality products quickly and efficiently. This report shows how data management best practices relate to business performance based on 131 responses to a web-based data management survey.
Researchers benchmarked participating companies on their performance related to quality, innovation, product development speed, and efficiency. Survey analysis compared companies with the highest performance in these important product development metrics with their data management approaches.
Top Performers Have More Effective Data Management
The data shows that Top Performing product developers are more likely to have very effective data management capabilities. Top Performers are more likely to be able to:
Can improving design data management practices improve innovation and product development performance? We surveyed 131 companies to understand how they manage CAD files, bills of material, and other product-related information to find out. Please enjoy the summary below.* For the full report, please visit our sponsor Siemens (registration required). For related research, please see two of our…
Is it time to change the way manufacturing processes are developed? Products have dramatically increased in complexity and time-to-market expectations continue to shrink. Is a virtual, 3D based manufacturing engineering transformation the way for manufacturing engineers to ramp up products quicky without compromising quality? Join Tech-Clarity’s Jim Brown and Dassault Systèmes Delmia’s Strategic Business Development…
Is PLM ready to support the future of the digital consumer packaged goods industry? Join an interactive panel discussion featuring: PepsiCo Senior Director of Global R&D Susan Hamel Kalypso Consumer Goods Global Director Colin Speakman Tech-Clarity President Jim Brown Jim will share findings from his latest research on the State of PLM in CPG to…
Jim Brown is hosting a panel of experts to discuss the challenges, benefits, and approaches for deploying simulation technology as a part of a digital twin initiative. Join the fourth interactive discussion in the AMC Bridge Executive Series on Tuesday, April 26, 2022, at 12:30 p.m. EST. Speakers: David Heiny, Co-Founder and CEO of SimScale …
Heavy equipment is becoming more connected, autonomous, smart, and electrified. Given the increased complexity, how can manufacturers optimize equipment performance without compromising time-to-market? Learn how companies can increase performance engineering maturity to develop more innovative, high-performance equipment with fewer prototypes and lower costs. Register for this live Siemens webcast on April 26th at 11am to learn the…
How much better would your products be if you could improve engineering productivity by reducing engineering time wasters? Engineers regularly lose productivity to non-value-add tasks that not only rob them of their ability to innovate, but also threaten their company’s ability to compete, differentiate, and grow. Imagine the potential of identifying and removing the most…
What should you look for in a systems engineering solution for your company to manage multi-discipline systems? As products become smarter and more connected, they also get more complex. Expert systems engineering practices can help to manage this complexity, especially when you are developing multi-discipline systems. The right technology can also be critical to support…
How can manufacturers bounce forward from disruption with smart manufacturing? Read our short post for some insights from our research and then join a live event to learn from Tech-Clarity’s Jim Brown and a variety of other speakers in a live Industry 4.0 event. Industry Disruption is the New Normal Today’s global manufacturing industry is…
Is PLM living up to its potential in consumer packaged goods? Is it ready to support today’s digital transformation strategies? What is the status quo for PLM in CPG? We surveyed over 150 companies to find out. Please enjoy the summary below.* For the full report, please visit our sponsor Kalypso (registration required). Table of Contents The…
How can increasing performance engineering maturity help manufacturers ensure they’ve fully optimized equipment performance? How does “shifting left” with simulation and closed-loop feedback help improve performance without compromising project due dates? Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required). Table of Contents The Performance Engineering Imperative Predicting…
What do industry experts and your manufacturing peers have to say about smart manufacturing? Join this live event on April 28th in Cleveland, Ohio to find out. Our own Jim Brown will keynote the conference, sharing his views on how manufacturers can “bounce forward” from recent disruptions with smart manufacturing solutions. Then you’ll hear from…
How much of your industrial design work can be leveraged during detail design? Could your products be even better if you had more time to get concepts right by reducing non-value-added work? An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant…
What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process…
Our research shows that companies with the highest tech transfer performance digitalize their tech transfer data and processes. But what does digital tech transfer look like, and how do you get there? This how-to guide shows life sciences companies the way. Please enjoy the summary* below. For the full research, please visit our sponsor Dassault…
How can startup companies improve their chances of success? Our Startup Survival Guide reveals both how and why simulation can provide startups an edge to launch a successful product. As part of a cloud platform, CAE can also be more accessible to startups. Please enjoy the summary* below. For the full research, please visit our…
How can you ensure that you choose the right PDM software and partner for your business? The right system serves as the backbone for digital transformation and impacts productivity, product success, and profitability. How can you make sure to get it right? Please enjoy the summary* below. For the full research, please visit our sponsor…
How do you manage system family engineering? As today’s products become increasingly complex, managing their different configurations becomes exponentially more challenging. Trying to trace which features you need to support required functions can be tedious, time-consuming, and error-prone. At the same time, the age of digital transformation has driven companies to find new ways to…
What could justify replacing the MES in an operating semiconductor fab? Advanced capabilities that traditional MES cannot model or support. Significant changes in the business of making microelectronics have created the need for much greater agility and complexity of processing. Seeking out a system that can support current operations is crucial to ongoing competitiveness. Reimagining…
I had the pleasure of joining Dassault Systemes’ special ENOVIA Champions Advisory Board Meeting at the end of 2021. It was a unique learning opportunity because the Champions are a global community of people that use or support ENOVIA and the 3DEXPERIENCE platform at their companies. It was also nice to see some industry friends…
Did you know engineers waste so much time on non-value-added work, they only spend about 54% of their time actually designing? How can you prevent them from wasting too much time on non-value-added work? Our research uncovered some significant engineering inefficiencies that contribute to this including: 29% percent of engineering time is spent working with…
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