Tech-Clarity research shows that the majority of manufacturers believe that digitalization is important or critical to achieving their business strategy (see figure). Over one-third say that it’s critical. Digitalization in medical device design and manufacturing has significant promise, but what does it actually mean? Medical device companies, already struggling with how to address critical initiatives…
- How manufacturers and service providers are expanding data gathered from equipment, both new and old
- How edge computing and analytics can turn mass volumes of data into actionable intelligence
- How an IIoT platform can help companies more rapidly take advantage of these opportunities

Table of Contents
- Improve Service ROI, Build your IoT Foundation for the Future
- Remote Monitoring Drives Service Performance *
- Access Equipment and Equipment Data *
- Communicate with Equipment *
- Leverage the Edge to Pre-Process Communication *
- Share Actionable Service Information *
- Implementation and Adoption *
- Selecting a Strategic Partner *
- Next Steps
- Buyer’s Guide Checklist *
Improve Service ROI, Build your IoT Foundation for the Future
Companies are leveraging the IoT to digitally transform their business and the results are impressive. But many struggle choosing a place to begin. One proven way to get started is by remotely monitoring machines. This initiative allows manufacturers to quickly achieve IoT value while paving the way for even more substantial benefits over time.
Next Steps



How can companies manage their portfolios and product development processes in order to more reliably hit their product innovation and commercialization challenges? How does digital transformation raise the bar on product portfolio management? Tech-Clarity was commissioned by Planview, Inc. to conduct their Sixth Product Portfolio Management Benchmark Study to find out. The research uncovered five best practices that Top Performers follow more frequently than others, resulting in their higher performance in revenue growth, profit margin expansion, and percent of sales from new products than their competitors. The survey also took a hard look at how digitalization impacts product planning and development, and finds that the transition to smarter, more connected products makes current PPM challenges worse.
Analyzing Product Innovation Performance
This Sixth Product Portfolio Management Benchmark Study surveying more than 400 industry practitioners finds that companies continue to struggle to meet product innovation and commercialization targets. Survey respondents indicate they hit product launch dates just 54% of the time, on average, and meet revenue targets only 55% of the time. New results from the ongoing product development benchmarking research commissioned by Planview show that companies continue to grapple with some of the same challenges they have for the last decade, including having too many projects for their resources. Despite proven best practices for developing successful, pr products, many companies continue to suffer the pitfalls of poor Product Portfolio Management practices.Digital Transformation Raises the Bar on Product Innovation and the Product Portfolio Management Discipline
Now is the time to address Product Portfolio Management process and performance gaps. New survey questions gauging how the transition to smarter, more connected products and the digital enterprise impacts product innovation indicate that current challenges are about to get worse. This is critical given the major digital transformation facing the manufacturing industry. According to McKinsey’s Why Digital Strategies Fail, only 8% of companies said their current business model would remain economically viable if their industry keeps digitizing at its current course and speed. Manufacturers that don’t successfully digitalize, even the largest companies, stand the risk of losing market share, and they are responding accordingly about 13% are currently delivering smarter, more connected products, another 44% are either actively developing or actively researching them. A further 27% are considering adding them. This is having a significant, direct impact on product – and Product Portfolio Management – complexity.The Best Practices

- Have access to more accurate, timely portfolio data to make decisions
- Follow portfolio processes more consistently
- Reallocate people and money to higher value innovations
- Have better portfolio and capacity management and planning
- Use PPM technology to enable these best practices
Conclusion
Companies continue to miss their product development targets, most notably time to market and related product revenue goals. Too many still fall victim to common Product Portfolio Management challenges, despite the availability of proven best practice processes and technology. Analyzing the Top Performers provides a roadmap that can help other companies overcome challenges and achieve higher levels of innovation and product profitability. Others can learn by example, recognizing that leading companies have better data, follow more consistent processes, are able to reallocate people and money to higher value innovations, and have better control of resource capacity – enabling all of this with the use of PPM software. The time to improve Product Portfolio Management performance is here. As the benchmark study shows, the move toward smarter, more connected products and digitalization will significantly increase product and product development complexity. Product Portfolio Management best practices can improve development of current products and prepare companies for the heightened challenges of digital transformation. PPM technology is positioned to address real challenges and improve value today and throughout the digital transformation. *This summary is an abbreviated version of the Executive Brief and does not contain the full content. A link to download the full research is available above. If you have difficulty obtaining a copy of the report, please contact us using the "Contact" link below. [post_title] => Five Things Top Performers Do Differently to Deliver Profitable, Innovative Products (PPM survey results) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => ppm-benchmark [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:37 [post_modified_gmt] => 2022-11-15 03:28:37 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=7116 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 7107 [post_author] => 2 [post_date] => 2018-08-21 12:30:09 [post_date_gmt] => 2018-08-21 16:30:09 [post_content] =>
Webcast Description
Does this sound all too familiar? Spending hours working on customers designs before we can do any real value-added work. We waste time re-importing design changes from customers and still have to redo all of our modifications like adding ribs or creating tool paths. There is no way we can afford a license for all the different CAD software packages.
- Why multi-CAD impacts productivity and profitability
- How CAD Interoperability allows you to overcome the challenges and work better internally, with customers, and with the supply chain
- What to look for in your CAD solution

Product Innovation Platforms
Before talking about the evolution to the cloud, it’s important to understand how software for product innovation, engineering, and manufacturing has evolved. CAD and other engineering software tools have allowed Aerospace and Defense (A&D) companies to design products that were previously unachievable. They have evolved to model and simulate new materials, advanced manufacturing methods, and multiple aspects of products to more accurately predict behavior. Engineering tools are integrated with data and process management solutions that support products, processes, and programs. These product lifecycle tools have evolved to support a broader view of the product and support a wider range of processes ranging from ideation to certification. Now, the move to the digital enterprise demands more. Software systems must support a more fully integrated approach, enable data-driven design, and support model-based systems engineering. They have to encourage real-time collaboration across disciplines and the supply chain, and support digital continuity where different domains contribute their design perspectives into a comprehensive, cohesive product model. This is the Product Innovation Platform (PIP), which creates a comprehensive digital thread, supports a cohesive digital twin, and breaks the paradigm of disparate, file-based systems. And, it’s moving to the cloud. Given that, we conducted a survey to find out how manufacturers are approaching the cloud opportunity. We gathered over 250 survey responses from manufacturing and engineering services firms, and took a closer look at approximately 70 of them that serve the A&D industry. Let’s take a look!
A&D is (Generally) Open to the Cloud
Manufacturers across industries have begun to adopt cloud solutions, and Top Performing manufacturing companies are more open to using cloud solutions, although it’s important to note that this finding is not specific to the Product Innovation Platform. This survey shows that A&D is actually a bit less conservative about the cloud than some might think, at least on a general level. When asked about their company’s strategy or standard for the use of cloud IT solutions, over one-third say they choose the most capable solution, and another 15% favor or use the cloud unless no other software is available. On the other hand, only about one-quarter of A&D companies surveyed say they do not consider or allow cloud.
(more in the full eBook)
A&D has Mixed Views on PIP in the Cloud
Views on the cloud change when related to the PIP. We asked companies about their views on software to support the product lifecycle including CAD, ALM, EDA, CAM, simulation, PDM, PLM, MES / MOM, product analytics, or other related solutions – effectively the components of the PIP. About one-quarter of A&D companies indicate that they use the cloud for some elements of the PIP, and about another one-quarter are implementing, planning to implement, or researching the cloud opportunity. (more in the full eBook)Conclusions and Recommendations
Implementing a cloud solution offers benefits along implementation, operational, and business dimensions. While these cloud-specific benefits are important, it’s important to recognize that most companies rightfully place a higher priority on PIP functionality. A&D companies are not willing to trade off the PIP features that directly impact their success drivers – quality, performance, reliability, innovation. But A&D companies also need to reduce cost. PIP capabilities can deliver on this need, and cloud deployments can further reduce cost even further. Cloud has value, but A&D companies face a number of challenges when implementing it, including security, performance, and availability. These are important concerns that should be addressed through SLAs, standards, and audit procedures. It’s important to understand, though, that in many ways cloud deployments actually help with these aspects by offering shared services with dedicated specialists. The cloud also provides unique opportunities not available with traditional implementations. These include instant scalability, “elastic” computing power, and the valued-added services capability viewed very favorably by survey respondents. A&D has been using the cloud for some time, and are generally open to the cloud, but they’re mixed on the use of cloud for PIP capabilities. This is especially true for suppliers, who are perhaps waiting for the OK from the majority of their OEMs. These views may change with better education about standards and audit processes. Cloud benefits are available, and they’re compelling. Today’s highly capable solutions are bringing the power of mature PIP capabilities with cloud benefits. We expect to see usage continue to grow, although cautiously. *This summary is an abbreviated version of the report and does not contain the full content. A link to download the full report is available above. If you have difficulty obtaining a copy of the report, please contact us using the "Contact" link below. [post_title] => Aerospace and Defense Adopting Cloud Innovation Platforms (survey results) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => cloud-ad [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:49 [post_modified_gmt] => 2022-11-15 03:28:49 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=7042 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 1 [filter] => raw ) [7] => WP_Post Object ( [ID] => 7004 [post_author] => 2 [post_date] => 2018-07-25 09:45:45 [post_date_gmt] => 2018-07-25 13:45:45 [post_content] => [caption id="attachment_7006" align="alignright" width="350"]
Table of Contents
- Executive Overview
- Chemical Companies Face Multiple Business Challenges
- Operational Challenges in the Lab Make Improvement Hard
- Why Digitalize? The Status Quo Won’t Scale
- What’s Driving Chemical Companies Digital?
- Digitalization in the Lab – When, not If
- Digitalization Falters beyond the Lab
- Identifying the Top Performers
- Top Performers Have Better Capabilities for R&D and the Lab
- Top Performers are More Digitalized
- Identifying Best Practices for the Digital Chemical Lab
- Prerequisites for the Digital Chemical Lab
- Digital Chemical Lab Basics
- Digital Best Practices for the Chemical Lab
- Enabling Technology for the Digital Chemical Lab
- Enabling the Digital Chemical Lab with a Solution Platform
- Conclusion
- Recommendations
- About the Author
- About the Research
- Executive Overview
- Most chemical companies have started to adopt digitalization
- Digital transformation is further along in the lab than beyond the lab
- Chemical companies report varied levels of digital maturity

- Are more digital in the chemical laboratory
- Have invested in more digital lab best practices
- Use more specialty scientific software
- Value a platform approach to integrate and support the digital enterprise
Conclusion
Chemical companies are challenged to improve their innovation and product development performance while controlling cost. They face significant operational issues that make these business improvements hard to achieve. Digitalization holds significant promise to address these issues and improve performance because it’s proven to accelerate the pace of innovation, increase agility, and improve efficiency. The transition to the digital chemical lab has begun. Today, however, most chemical companies have only partially digitalized. Top Performers, though, have greater digital maturity than their lesser-performing competitors. They’ve adopted more digital R&D and lab capabilities, particularly when you look beyond the basics to best practices. Top Performers have implemented more specialized R&D and lab management systems to support their best practice processes. Based on the survey results, we believe that these capabilities help the Top Performers achieve better operational R&D and laboratory performance and drive better business performance. Our overall conclusion is that digital best practice processes and chemical laboratory management solutions provide a competitive advantage that helps chemical companies drive higher levels of innovation and profitable growth. Finally, we believe that digitalization will lead to significant market disruption across the chemical industries and result in a significant change in market leadership. Digital transformation supported by best practices and a platform of integrated R&D and laboratory solutions will be a key differentiator to enable the future Top Performers that will lead the industry. The time to digitally transform the chemical laboratory is now.Recommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations. Chemical companies should:- Ensure the digital chemical lab prerequisites and basics are in place
- Pursue digital laboratory best practices including reuse, simulation, and knowledge management to differentiate and drive higher levels of innovation
- Leverage specialized laboratory and R&D software to drive better business performance
- Pursue a chemical laboratory systems platform strategy to further improve performance and gain a market advantage
Copyright Notice
Unauthorized use and/or duplication of this material without express and written permission from Tech-Clarity, Inc. is strictly prohibited. This report is licensed for distribution by Dassault Systèmes BIOVIA. *This summary is an abbreviated version of the report and does not contain the full content. A link to download the full report is available above. If you have difficulty obtaining a copy of the report, please contact us using the "Contact" link below. [post_title] => The Digital Chemical Lab (survey results, white paper) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => digital-chem [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:36 [post_modified_gmt] => 2022-11-15 03:28:36 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=7004 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [8] => WP_Post Object ( [ID] => 6989 [post_author] => 2 [post_date] => 2018-06-18 14:39:59 [post_date_gmt] => 2018-06-18 18:39:59 [post_content] =>
The Manufacturer's Guide to Bridging the Engineering-Purchasing Gap
How can manufacturers deliver every customer order on time without incurring excess cost and delays from part shortages? They have to streamline operations and information flow across departments including Engineering and Purchasing. Today’s disconnected processes and systems aren’t acceptable when people expect business systems to work as well as the Amazon app on their smartphone. It’s time for manufacturers, big and small, to start embracing digital approaches to improve operational performance.
A Practical Shift to Digital
Manufacturers are going digital to meet today’s market demand for innovation and agility. The status quo isn‘t good enough any more, and those that hold on to old ways of running a manufacturing company using emails and spreadsheets will find it hard to compete. But “going digital” doesn’t have to mean huge consulting fees and expensive software. It can be very practical. For example, companies can choose a problem area that causes them trouble, such as collaborating between Engineering and Purchasing to build prototypes or small production runs, and take a digital approach to improving it.The Design to Procurement Gap
Let’s look at closing the communications and information gap between design and procurement. Engineering and Purchasing need to be on the same page to meet customer ship dates or risk losing revenue and customer satisfaction. A simple thing like sharing part requirements gets challenging with different configurations, changing designs, and dynamic supply chains. Experience shows that this complexity leads to errors in the world of office documents, shared drives, emails, and other ad hoc tools that lead to using outdated and incorrect information. Manufacturers need to close the information gap by providing centralized, shared information in a digital format. Information buried in a spreadsheet or a CAD file isn’t much more effective than hand-written notes on a whiteboard. Some people have visibility to the information, and hope that it’s accurate, but others are left guessing. The core of this communication is parts, organized in BOMs, to let people know what, when, and how much they need to buy and make. Beyond this, companies need to gather purchasing information that’s typically spread out in multiple catalogs or websites to make a buying decision. The process is challenging in any organization, whether the responsibility is on one person, one department, multiple departments, or spread out across a global supply chain that includes contract manufacturers. More importantly, it leads to late orders and excess cost. A digital, cloud-based approach can help streamline the process, improve speed, and reduce errors. Let’s look at it from three different perspectives – the Engineering, Purchasing, and Operations views.The Engineering Perspective
What does Engineering need from the design – procurement workflow? They want to make sure that everyone downstream has the data they need to make their products right. But they don’t want to have to reenter a lot of information in a complex tool to do it. And if it’s cumbersome, they’ll wait until the information is finalized so nobody sees it until the last minute. They want to export their BOMs from their CAD tool, add data like materials or other specs, pull in standard part data where they can, have it all easily accessible to the right people, and have everything stay in sync when they make changes. They would also love to be able to access a cohesive design history covering all revisions and changes, a complete digital thread of the product development process. The bottom line is that they want to make sure whoever is buying parts, even if it’s a contract manufacturer on the other side of the planet, has accurate part requirements data so they can get it right and fulfill their design intent.The Purchasing Perspective
What does the Procurement Specialist need from the design – procurement workflow? Clearly they need visibility to the parts they need to order in an accurate, timely parts list. They need to know what’s needed, when, and with what specifications as soon as possible, even if it’s not final, so they have time to plan. They also want to hear about changes immediately, before it’s too late and they have to expedite and/or return parts. Purchasing also wants accurate part information for themselves and others to make the right decisions, to have everyone use the same part numbers so they can manage inventory and where-used, and optimize part buys. They want to optimize their procurement strategy by guiding Engineers to make the right part selections. But they want this without having to use a complex tool or enter information manually that could be imported from suppliers, websites, or catalogs. The bottom line is they want accurate data so they can make sure Manufacturing has the parts they need on-hand, without overpaying or carrying too much inventory.The Operations Perspective
Operations just wants everything to run smoothly. They want everybody to be on the same page so nobody makes mistakes and buys or builds the wrong thing. They want this so that customers aren’t upset about missed ship dates and they don’t suffer from excess cost from poor contracts, rush shipping, or excess inventory. They want to avoid lost productivity and expediting missing or lost parts. They also need to manage spend, so they want to make sure they’re getting the best pricing from multiple suppliers, catalogs, and/or websites. The bottom line is that they want to reduce risk and protect revenue by keeping everyone coordinated to get the product out of the door. They can’t afford ad-hoc tools that don’t work for everyone, but also don’t have time to train engineers and purchasing people to be power users for complicated software. And they probably don’t have the appetite to install new hardware and software, and would prefer simple tools that work but don’t suffer from the shortcomings of office productivity tools.Key Takeaways
The common thread across of these roles is the desire for accurate data and simplicity. Companies can’t afford disconnects in today’s agile, digital-speed world. They have to avoid the errors and inefficiencies of general tools like spreadsheets and generic cloud file storage, leverage common data to avoid mistakes in the supply chain, and develop the ability to easily gather information to make the right buying decisions. It’s time for manufacturers to analyze their basic requirements to close the design to procurement gap, find a solution that fits their needs, and do so in a way that’s consistent with their willingness to take on the learning curve, cost, and complexity of enterprise solutions. It’s a good idea to start small and grow, but stay away from dead-end office automation tools or generic file sharing solutions that don’t address their collaboration needs. Companies of all sizes should consider easy to adopt, easy use, cloud-based solutions to streamline processes and close information their information gaps. [post_title] => Bridging the Gap Between Engineering and Purchasing [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => eng-purch-gap [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:27:52 [post_modified_gmt] => 2022-11-15 03:27:52 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=6980 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 1 [filter] => raw ) [10] => WP_Post Object ( [ID] => 6963 [post_author] => 2 [post_date] => 2018-06-07 10:14:42 [post_date_gmt] => 2018-06-07 14:14:42 [post_content] =>
Product Development Needs to Evolve to Support Today’s Products
Manufactured products have evolved rapidly over the last decade or so. Items ranging from cars to coffee makers have transitioned from primarily mechanical things to smart, connected products that interact with other products as part of a system in a system of systems world.
- Include all functional departments early in the NPD process, for example inviting corporate IT to specify cloud and enterprise system enhancements
- Change the product design process to incorporate new decisions such as where to place sensors
- Adapt the product innovation process to take advantage of new insights available from smart, connected products in the field, including actual operating conditions
Conclusions and Recommendations
It’s time for companies to make the transition to designing smart, connected products. The business benefits are compelling, and we believe that those that implement these capabilities first will put their competitors at a disadvantage. To adapt, companies need to make changes to their NPD processes and technology. They need to involve more disciplines early in the design process, include a new series of decisions in their design process, and learn from real product performance by “closing the loop” between design and operation.
- Conceptual design and requirements
- Data design
- Sensor strategy
- Communication plan
- Validation and verification
It's time to act. With the move toward a sharing economy, we believe that companies that simply develop and sell products will put themselves at a significant disadvantage to companies that design, develop, and stay in touch with their products throughout the product’s life. Companies that don’t embrace digitalization and start offering more than a physical product stand the risk of being commoditized.
*This summary is an abbreviated version of the report and does not contain the full content. A link to download the full report is available above. If you have difficulty obtaining a copy of the report, please contact us using the "Contact" link below. [post_title] => Guide to Selecting a Smart, Connected Product Design Solution (eBook) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => digital-product-design [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:12 [post_modified_gmt] => 2022-11-15 03:28:12 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=6963 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [11] => WP_Post Object ( [ID] => 6947 [post_author] => 2 [post_date] => 2018-05-29 19:09:13 [post_date_gmt] => 2018-05-29 23:09:13 [post_content] =>
Listen to Tech-Clarity's Michelle Boucher and PTC's Brad Thomas, Product Manager of the Retail Business Unit discuss predictive analytics for the retail industry. They cover topics such as:
- The value of connecting multiple databases on a single platform
- How applying machine learning to analytics helps retail companies
- Examples of how predictive analytics solutions can help retailers


- How a digital twin helps create competitive differentiation
- How manufacturers can transform product performance and service through better product insights
- How a digital innovation platform supports the digital twin
Listen to Claus Gärtner, Head of Operations & Quality IT at Roche Diabetes Care, René Zoelfl PTC Life Sciences Development Manager, and Tech-Clarity's Michelle Boucher discuss how to support the development of medical devices. This discussion was an interactive panel discussion highlighting topics such as:
- The PLM journey taken by Roche Diabetes Care
- What drove Roche Diabetes Care to adopt a PLM system
- The results Roche Diabetes Care have achieved with PLM
- Perspectives of software solution selection criteria to support quality initiatives.


Jump-Start Your IoT Initiative
Manufacturers are making major business improvements using the Internet of Things (IoT). They’re delivering value to customers in new ways and exploring new business models like selling outcomes versus products or shifting to a predictive service model. Some companies are well on their way to this strategic value, while for others it may seem out of reach. How can your company jump-start your IoT initiative? One proven way to get started with IoT is by remotely monitoring machines, either in your own plants or in your customers’ facilities. This gives you the real-time information you need to quickly identify failures and fix equipment more efficiently, improving service while reducing cost. Remote equipment monitoring provides value in the short term and helps develop a strong analytics foundation for your broader IoT strategy. This Quick Start Guide shares suggestions on what companies can do to get equipment connected, start gathering data, and put the data to use. Let’s get started!
Next Steps
Remote monitoring using the IoT can provide rapid value by helping your company gain visibility to your equipment. The value is strategic, but getting started doesn’t need to be intimidating. You can start small and grow value over time. Your investment can provide a valuable foundation to build on as you connect more equipment or implement more advanced features.

The Journey Toward New Development Approaches

You Don’t Know What You Don’t Know

- Products become much more complex
- Knowledge silos / lack of cross-functional knowledge
- Ensuring product requirements are met
- Lack of visibility into the impact of design decisions across disciplines
- Tools are incompatible across engineering disciplines
- Identifying system level problems sooner

Table of Contents
- Executive Overview
- The Business Value of Systems Engineering
- Start with Process Definition
- Manage Requirements
- Design the System
- Design the System to Be Modular
- Support Product Line Variants
- Enable Detailed Design
- Support Connectivity
- Verify and Validate the System
- Assess Service Requirements
- Consider Vendor Attributes
- Identify Specific Needs for your Company
- Conclusion
- Recommendations
- About the Author
Executive Overview
In today’s world, fierce global competition is driving companies to seek new ways to competitively differentiate their products. Many companies are incorporating embedded software into their products to set their products apart from the competition. Embedded software offers opportunities to incorporate intelligence into a product as well as offer customers a more personalized experience. The Internet of Things (IoT) takes this even further by creating exciting possibilities for new and differentiated services for products with smart, connected devices. While bringing together mechanical components, electronics, and software presents exciting opportunities for innovation, it also brings unique challenges and adds new levels of complexity to today’s products and product development processes. The same goes for connected products as you add sensors, streaming data, and an ecosystem of connected systems. Whether you are a systems engineer or IoT solutions architect, expert systems engineering practices are critical to the success of today’s products. An essential part of implementing expert systems engineering practices is having the technology to support them. This buyer’s guide will help manufacturers select the right software to support systems engineering. This guide is composed of 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 investigate when selecting software tools to support systems engineering.Figure 1: Systems Engineering Evaluation Framework
- IoT Solutions Architect
- DevOps IoT
- Internet of Things Solutions Engineer
- M2M and IoT Product Management and Engineering
- Technology Manager, Software Engineering (IoT)
- Solutions Engineer (IoT)
- Principal Technical Architect (IoT)
- Innovation Manager for Industry 4.0
- Product Manager
Conclusion
Expert systems engineering practices are key to taking 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, electrical, and software components 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 means there is risk things will go wrong. The impact of these problems can have a significant business impact and hurt the profitability of the product. Implementing expert systems engineering practices, with the right software tools to support them, can manage this complexity, making it easier to bring profitable products to market successfully. 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 by providing 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 important to ensure that functionality, service, vendor, and special requirements are all considered when selecting a solution.Recommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:- Identify and weigh systems engineering requirements based on company needs, existing applications, industry, and unique product and process requirements
- Use high-level requirements such as the ones in this guide to evaluate solutions based on business fit before engaging in detailed evaluations
- Consider long-term business and process growth needs and the potential to scale across product lines, departments, and engineering silos
- Consider all stages of systems engineering from process, requirements, design, and validation when investing in systems engineering solutions
- Think about all roles that can benefit from systems engineering best practices such as IoT solution architects
- Select a vendor who will be a trusted partner

Table of Contents
- Introducing the PDM Buyer’s Guide
- The Product Data Management Imperative
- Analyze PDM Capabilities
- Assess Service Requirements
- Consider Vendor Requirements
- Identify Unique Company Needs
- Conclusion
- Recommendations
- About the Author
Introducing the PDM Buyer’s Guide
Product Data Management (PDM) is an important tool to help manufacturers overcome the complexities of designing, developing, producing, and supporting today’s products. Manual and ad-hoc approaches such as shared folders, FTP, Dropbox, box, and hard drives are simply not good 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 for your business has a large impact on productivity, product success, and profitability.
- Getting files under control so people can find the right revision with confidence
- Making sure concurrent updates don’t overwrite each other to avoid “the last save wins” syndrome
- Making information easily accessible and consumable to teams outside of Engineering for reviews and downstream processes
- Safely sharing information with customers, partners, and the supply chain
- Ensuring intellectual property (IP) is captured and securely accessible regardless of who stored it
- Getting away from complicated shared drive structures that lead to errors
- Making sure people don’t manufacture or purchase against the wrong drawing
- Providing “one version of the truth” versus multiple copies of designs
Conclusion
PDM helps manufacturers address market complexity and improve business performance. As Tech-Clarity’s Managing Engineering Data concludes, “Product data management is the fundamental building block of any engineering software strategy and helps companies get the most out of their precious engineering resources.” When evaluating PDM, manufacturers need to take into account:Product requirements
- Implementation, adoption, and support requirements
- Vendor / business requirements
- Special requirements based on company size (particularly for very small or very large organizations)
- Special considerations to meet industry needs
- Future requirements as business continues to digitalize
Reccommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:- Identify and weigh PDM requirements based on company needs, company size, industry, and any unique company needs
- Use high level requirements such as the ones in this guide to evaluate solutions based on business fit before engaging in detailed evaluations
- Consider using more simple, commodity technical solutions like cloud or managed services solutions for smaller companies, companies that wish to move quickly, or those with limited IT resources
- Take user adoption into account, including simplified access and increased visualization for non-engineering resources
- Consider using more full-featured, scalable solutions for larger organizations that have more demanding process and scalability needs and can afford the IT resources required to support capabilities such as site synchronization
- Take into account long-term business and process growth needs including digitalization and IoT initiatives


Digital Thread
Let’s start with the digital thread. That’s probably the most straightforward concept and one that provides tangible value. The digital thread, in its simplest definition, is the collection of information used to define, engineer, and develop a product. Ideally it moves beyond the manufacturer into the in-service part of the equipment lifecycle. It offers a view of the digital continuity of the life of the device. The value for medical device companies, in a nutshell, is end-to-end traceability. It’s the connection between everything from patient needs and early requirements through the patient experience, including post market surveillance requirements required by the EU MDR. It provides a broad base of information that allows medical device companies to analyze and learn from history, for example tracking down root causes for a CAPA. The digital thread also clearly supports regulatory requirements related to these needs including the DHF and UDI, including all of the local variants of the regulations. In addition, the digital thread also provides an integrated source of data that can be used to prepare submission documentation. With the digital thread as the trusted data source, medical device companies can automate much of the process to generate these crucial reports.Digital Twin

Connected Digital Twin
The value of the digital twin expands dramatically when it goes beyond device production and into usage. Some would say a digital twin without connectivity isn’t a complete twin, but regardless of definitions a digital model is highly valuable. But a connected one adds significantly greater value. The rise of the IoT adds a new dimension to the value available from the digital twin. Companies can collect real-world device performance and associate it back with the intention of the design model. This can help identify issues where devices are not performing as designed, and may provide an early indicator of a potential variance. A second aspect of the digital twin is identifying differences between predicted and actual device performance where the device is operating as designed, but not as intended. In these cases, there are gaps in the simulated performance of the digital model that can be addressed to improve simulations and understanding of how devices perform in the field. Medical device companies gain significant value from the connected digital twin. It rounds out the information in the DMR and supports a more robust data set for UDI. It could also be used early in the lifecycle to help support clinical trials, as well as other regulatory demands throughout the lifecycle.Digital Twin of the Plant
Another aspect of the digital twin is creating digital twins of the equipment used to produces devices. Companies can create fully functioning models of machines, lines, and plants to design, simulate, and optimize production. As with the digital twin of the product, connecting the digital twin provides even greater value. In this case, it may include the IIoT in addition to the IoT. The digital twin of the plant helps medical device companies validate production methodology, SOPs, and set critical control points to improve control, reduce variability, and improve quality. It can also be used to validate process control intent with regulatory bodies. These twins, along with the digital twin of the device (which should be integrated) can also help automate regulatory submissions. Again, we see significant overlap in the use of digital tools in the medical device industry.Analytics

IoT
The last area to discuss is the IoT. We’ve already mentioned it while discussing the earlier digital topics, it’s hard not to given it’s significant potential to change the relationship between medical devices, the manufacturer, healthcare professionals, payers, and the patient. But there is much more to this topic, so we’ll save this for a later post.Our Take
Digitalization of the medical device industry takes the value of new technologies and techniques and extends them to improve both company profitability and patient outcomes. In the end, the buzzwords represent new capabilities with real potential to help medical device companies innovate, drive rapid product design, speed approvals, improve quality, and achieve higher levels of compliance. These are all important for them to continue their mission to improve patient welfare in today’s complex healthcare environment. You can find more information about digitalization for medical devices from our sponsor, Siemens PLM. You can also find more information from Tech-Clarity on digitalization in the medical device industry please see our The Digitalization Opportunity for Medical Device Companies (video) or Digitalization in the Medical Device Industry (animation). [post_title] => Translating Digital Buzzwords to Real Value for Medical Devices (post) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => med-dev-digital-buzz [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:28 [post_modified_gmt] => 2022-11-15 03:28:28 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=7178 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 776 [max_num_pages] => 39 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => [is_tax] => [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => 1 [is_privacy_policy] => [is_404] => [is_embed] => [is_paged] => [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_favicon] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => 4dfe9c6e513c6d34eeda18d0249dd3a4 [query_vars_changed:WP_Query:private] => 1 [thumbnails_cached] => [allow_query_attachment_by_filename:protected] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) [query_cache_key:WP_Query:private] => wp_query:5230dab3313139b59f5f82815e8cf698:0.99027700 17577563790.99951700 1757756379 )All Results for "All"
IoT Equipment Health Monitoring (webcast)
How can manufacturers and service providers drive additional productivity and profitability by developing equipment intelligence by monitoring equipment health? Learn how the IIoT, edge computing, and analytics help companies predict and mitigate equipment issues before they disrupt production. Manufacturers can now identify trends and data relationships that previously went undiscovered by combining data from multiple…
Improving Service with IoT Remote Monitoring (Buyer’s Guide)
How can companies improve service and gain tangible ROI by remotely monitoring equipment using the IoT? This buyer’s guide offers practical advice for companies starting their remote monitoring journey to transform the way they service their equipment whether it’s on site, in the field, or at a customer location. At the same time, it offers recommendations to…
How Digital Chemical Labs Drive Innovation (infographic)
How do Top Performers in the chemical industry leverage digitalization in the chemical lab to overcome their innovation struggles? A Tech-Clarity survey shows that chemical companies face a myriad of innovation-related challenges including cost pressure, sustainability, more customer-driven products, and specialized / performance materials. This infographic provides a graphical snapshot of the research sharing that…
Five Things Top Performers Do Differently to Deliver Profitable, Innovative Products (PPM survey results)
How can companies manage their portfolios and product development processes in order to more reliably hit their product innovation and commercialization challenges? How does digital transformation raise the bar on product portfolio management? Tech-Clarity was commissioned by Planview, Inc. to conduct their Sixth Product Portfolio Management Benchmark Study to find out. The research uncovered five…
The CAD Interoperability Survival Guide (webcast)
How can engineers be productive and innovate when suppliers, customers, other departments, and even different design teams use a variety of CAD tools? This webcast shares how CAD interoperability helps companies survive when multi-CAD is simply the reality they live with every day. The webinar shares customer stories and best practices from our recent eBook…
Aerospace and Defense Adopting Cloud Innovation Platforms (survey results)
How can Aerospace and Defense companies leverage the cloud to improve innovation, engineering, and manufacturing across the product lifecycle? We surveyed over 250 companies and analyzed the progress, plans, and success factors for supporting product innovation with cloud solutions of over 70 of these companies that serve the A&D industry. The research analyzes both challenges…
The Digital Chemical Lab (survey results, white paper)
How can companies improve business results by increasing the digital maturity in their chemical labs? The Digital Chemical Lab, Top Performers Digitalizing Their Chemical Laboratories, shares insights from a survey of over 170 chemical companies examining their lab processes, data, solutions, and digital maturity. The survey benchmarks the level of digitalization against business performance, finding…
Secrets to Delivering Smart, Connected Product Portfolios (webcast)
How do top performing companies plan and deliver profitable portfolios of smarter, more connected products? Join this webcast to hear what recent survey results tell us about developing innovative products in the digital age. The webcast includes results from the 6th Product Portfolio Management Benchmark study, conducted by Tech-Clarity and sponsored by Planview. Hear Tech-Clarity’s Jim…
Bridging the Gap Between Engineering and Purchasing
How can manufacturers bridge the knowledge gap between design and procurement? The Manufacturer’s Guide to Bridging the Engineering-Purchasing Gap shares our perspective on how manufacturers can take a digital approach to sharing critical BOM data from Engineering with Purchasing so they can reduce cost, improve efficiency, and prevent late shipments due to part shortages. Please…
Guide to Selecting a Smart, Connected Product Design Solution (eBook)
How does product design, development, and engineering need to change in order to support digital products? Key Considerations for Selecting a Smart, Connected Product Design Solution eBook shares that today’s new product development (NPD) processes simply aren’t comprehensive enough to effectively design smart, connected products. What do manufacturers need to look for in their engineering…
PLM in the Cloud Webcast with Sogeti, and Microsoft
PLM helps manufacturers improve innovation and product development performance through streamlined processes, centralized data, and integrated tools. It’s a key part of any manufacturer’s digitalization strategy. Learn how manufacturers are leveraging the cloud to remove the barriers to achieving the strategic benefits of Product Lifecycle Management. Join an interesting panel discussion between Tech-Clarity, Sogeti, and…
Retail Analytics Solutions (webcast)
How can retail companies improve their decisions to survive in today’s complex omnichannel environment and anticipate changes in trends in a dynamic and volatile market? Can predictive retail analytics help? If so, what should retailers look for in a solution? Listen to Tech-Clarity’s Michelle Boucher and PTC’s Brad Thomas, Product Manager of the Retail Business…
Enabling the Digital Twin with IoT (webcast)
How can manufacturers get more value from their digital initiatives by leveraging the Internet of Things (IoT)? Manufacturers who embrace digitalization gain increased agility, innovation, speed, quality, and profitability in design, development, manufacturing, and the service lifecycle. One of the key enablers of these improvements is establishing a closer connection between product models and how…
How Roche Diabetes Care Is Winning at PLM, Quality, and Compliance (webcast)
How can medical device companies balance quality, innovation, compliance, and profitability? Where does a PLM solution fit in? Is it possible to achieve a single source of truth? Listen to Claus Gärtner, Head of Operations & Quality IT at Roche Diabetes Care, René Zoelfl PTC Life Sciences Development Manager, and Tech-Clarity’s Michelle Boucher discuss how to support the…
IoT Machine Monitoring Quick Start Guide
How can manufacturers quickly gain value from remote equipment monitoring using the Internet of Things to begin their digital and service transformations? The Monitoring Equipment with IoT Quick Start Guide eBook offers pragmatic advice for companies that want to jump-start their IoT initiative with a practical approach that leads to much more significant value over…
Top 5 Tips to Transforming Product Design for Smarter Products
What steps should you take to transform your product design processes so you can develop smarter products? Tech-Clarity’s Top Five Tips to Transform Product Design for Smarter Products shares advice to help companies on their journey to develop smarter products. For many, making products smarter and connected is a key product trend that is becoming…
Smart Systems Buyer’s Guide for Systems Engineers and IoT Solution Architects (white paper)
How can manufacturers design systems with greater confidence the system will work as designed? Tech-Clarity’s Smart Systems Buyer’s Guide for Systems Engineers and IoT Solution Architects helps manufacturers develop selection criteria to evaluate software solutions to support system design. The guide targets systems engineerings, IoT solution architects, and others involved with designing systems. Tech-Clarity’s Buyer’s Guides…
Product Data Management Buyer’s Guide (white paper)
How can manufacturers ensure they get the most value from a new PDM solution? The PDM Buyer’s Guide provides criteria for companies to select the right Production Data Management system to manage the complexity of today’s products and product development environments. Manufacturers have many choices for managing critical CAD files and product data, including shared…
Jumpstarting IoT with Remote Equipment Monitoring (webcast)
How can monitoring equipment remotely provide value and help get your IoT initiative started? Jim Brown joins PTC’s Michael Anderson for a webcast discussion to find out. Jim will share perspectives from his research including an overview of how remote equipment monitoring via the IoT can help drive significant service improvements. Jim will share tips from his upcoming Remote…