Making the value of technology clear
Dimensions of Digital Thread Maturity
Our interviews discovered a variety of digital thread maturity levels with expanding levels of value. We found significant variation in the maturity of digital threads capabilities in:
The value is available, and each company should decide how best to take advantage of it. In the process, they will need to consider organizational elements like incentives, training, and developing buy-in. They should adopt best practice processes that incorporate data collection and install a sense of data quality ownership. Lastly, they should look to create a platform of solutions that integrates all of the product and customer experience elements together from underlying systems, including; PLM, ERP, MES, SLM, and CRM. The vision is achievable and starts with a strategy that can be implemented over time to drive new value.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full research, please visit our sponsor Propel.
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Extending Digital Threads to the Customer Experience (eBook)
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What is the best way for engineers to manage multiple design criteria, impacted by multiple physics, yet still meet deadlines, cost targets, and quality requirements?
Tech-Clarity’s eBook, How to Engineer High-Performing, Quality Products without Extra Cost, examines this question. The eBook shares findings based on the results of a survey of 272 manufacturers. It also examines the reality today’s engineers face, and the variety of factors they must consider.
The results show that exceptional engineering is critical to the success of today’s products. At the same time, this is driving product complexity. As products continue to become more complex, it becomes even harder for engineers to make the right design decisions. Interestingly, Tech-Clarity research finds that Top Performers are 2.2 times more likely than Others to have effective processes to understand trade-offs and optimize products. A key differentiator leading to their success is their ability to simulate multiple physics. Top Performers are 89% more likely than Others to find analyzing multiple physics makes design decisions easier. Simulation with CAE can be a valuable asset. The research identifies more details about what Top Performers do differently and the benefits they enjoy as a result.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes SOLIDWORKS (registration required).
For a related research, please see our eBook, How to Survive and Win New Markets by Getting Even More Value from Simulation.
With global competition and an uncertain economy, companies face significant pressure to develop the right products. To attract customers, engineers must balance numerous criteria, often conflicting, to meet product requirements for quality, reliability, innovation, and performance. They must assess the impact of an assortment of complex materials, components, and subsystems and evaluate how they will perform in a wide range of scenarios. Missing the mark can put market share at risk.
Growing Complexity
Navigating this complexity is no small feat as it requires a deep level of expertise. The sheer variety of physics involved make it incredibly difficult for engineers to confidently make decisions. Personal experience simply isn’t enough. In fact, 67% of survey respondents say complexity has grown over the last five years, and 44% find it has gotten even harder to make critical design decisions. Yet, Top Performers are 58% more likely than their competitors to be confident in their decisions.
Better Decisions
Despite complexity, Top Performers are 2.2 times more likely than Others to have effective processes to understand trade-offs and optimize products. A key differentiator leading to their success it their ability to simulate multiple physics. Top Performers are 89% more likely than Others to find analyzing multiple physics makes design decisions easier. Even those developing simple products reveal simulating multiple physics helps them become more competitive.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Could your overall equipment effectiveness (OEE) metrics do more to accelerate improvement? Most manufacturers' can, but not necessarily by doing what they have been doing. Read our eBook, Getting Beyond Percentages to Insights with OEE, to learn more.
Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required).
For related research, watch the Power in the Hidden Factory webcast.
How ready are manufacturers and AEC companies to embrace the cloud in engineering?
AMC Bridge's live webcast, hosted by Jim Brown, explores whether now is the right time to move toward cloud engineering software and data.
Hear the panel of speakers share their deep experience and unique perspectives:
You can also watch the first of AMC Bridge's webcast series with Tech-Clarity here: How Software Enables Industrial Additive Manufacturing.
[post_title] => Embracing Cloud Engineering Software and Data (webcast)
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[post_content] => What do the experts say about cloud readiness in product innovation, engineering, and industrial software? What else can we learn about Siemens’ Paul Brown from his conversation with Tech-Clarity’s Jim Brown (no relation)? Tune into this episode of (Not Your Typical) Tech Interview, the show where we have a little fun by asking some important industry questions and then adding a few more to get to know our industry experts a little bit better. Want to find out what Paul's first computer was? His favorite browser? One of the answers might surprise you!
https://www.youtube.com/watch?v=5-4cmeZWS9M
For more information on cloud migration, please see the second video of this series, (Not Your Typical) Cloud Migration Interview with Schnitger Corp’s Monica Schnitger.
For more information on the engineering market's rapid shift to the cloud, please see the third video of this series, (Not Your Typical) Cloud Market Shift Interview with Allan Behrens.
For more information cloud perceptions, please see the fourth and final video of this series, (Not Your Typical) Cloud Perceptions Discussion with Siemens' Paul Brown.
Get more information about cloud readiness and Siemens' Cloud Solutions from Siemens Digital Industries Software. For related research, please check out our Cloud Advisor PLM Assessment.
What are the core fundamentals that manufacturers need in their digital thread? What do they need in their PLM system to serve as their digital thread backbone? Read our eBook, The Seven Building Blocks of the Digital Thread, to learn more.
Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required).
For related research, read our original buyer's guide Choosing PLM for Digital Thread Initiatives.
There are numerous definitions of the digital thread. Our research highlights two primary value drivers, streamlining engineering and creating digital continuity. More importantly, these factors are the means to significant business improvements. Benefits include improved quality, greater efficiency, lead-time reduction, enhanced innovation, and more. Specifically, our study shows that companies that have adopted a digital thread enable their technical resources to spend 10% more value-added time on innovation, design, and development work.
This value is the outcome of reduced handoffs and translations, a complete and cohesive data model, connected data, traceability, reuse, and better collaboration. This is why the digital thread is such a critical capability for manufacturers.
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[post_content] => [caption id="attachment_10486" align="alignright" width="212"]
Experience with low-code solutions[/caption]
Some see low-code as a promising new technology, but is it really new? No. Is it promising for digital transformation? Our survey says yes.
Please enjoy the summary below or see Jim Brown's full guest post on the Siemen's blog to learn how the low-code technology "breakthrough" helps fill digital transformation gaps.
Digital Transformation Gaps
Digital transformation is creating new value for manufacturers. The digital revolution, whether under the banner of Industry 4.0, Smart Manufacturing, or some more overarching initiative, is a high priority to survive and thrive in the new normal. Even before the disruption from the recent pandemic, Tech-Clarity’s research on digital maturity in manufacturing shows that two-thirds of industrial companies viewed digitalization as either “important” or “critical” to achieving their business strategy.
Our recent survey, Filling Digital Transformation Gaps with Applications, shares that manufacturers’ digital initiatives create or uncover process, organizational, and technology gaps. They must overcome these “digital transformation gaps” to achieve their digitalization goals, such as driving internal efficiencies, creating new business models, or finding new revenue opportunities.
[caption id="attachment_10473" align="alignleft" width="157"]
Jim Brown in 2003 when the original article was published[/caption]
[caption id="attachment_10477" align="alignright" width="157"]
Jim Brown currently[/caption]
A "breakthrough" technology
Some see low-code as a promising new technology, but is it really? New technology? No. Despite the fact that a full 25% of industrial companies aren’t aware of it, it’s not new. The low-code approach has gone by different names, including model-based programming. In fact, I first wrote about it with Olin Thompson of Process ERP Partners in 2003 in a series of Technology Evaluation articles titled “What’s Wrong with Application Software.” In that we pointed out that “Early adopters are learning that Model Based Architectures create significant efficiencies throughout the application lifecycle.”
Take advantage of low-code to fill gaps
As we said over a decade ago “Model based architecture is … a tool that leverages existing applications and fills in the cracks that exist in your business processes.” That’s even more applicable today, given the higher demand – and value – of rapid application development in the digital era. It’s time for more manufacturers to adopt low-code in order to meet their critical digital transformation needs. Fortunately, it’s well suited to start small, prove the value, and grow. It’s time to get started.
For related commentary on how companies can fill IoT gaps with low-code applications, read the Fill IoT Gaps with Low-Code guest post.
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Could your production operation be more productive? Sometimes it’s difficult to tell, despite having plenty of data. Sometimes, metrics like overall equipment effectiveness (OEE) don’t even help uncover the hidden factory. Yet, OEE can and should pinpoint opportunities.
Find out how to improve more reliably in this June 2021 webcast. Listen in to Tech-Clarity’s Julie Fraser, VP of Research for Operations and Manufacturing, and Nick Leeder, VP of Digital Transformation Solutions at PTC, as they discuss how digital continuous improvement (CI) programs can help your company succeed. Keep your bottlenecks productive. Build on and drill down into OEE to get real insights.
Hint: It’s all about speed. Get a glimpse into the hidden factory. Start thinking about how to uncover ways to boost productivity.
View the webcast on-demand here.
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With increasing demands for highly skilled operators, yet a shortage of workers with those skills, what can manufacturers do to boost manufacturing productivity?
With workforce shortages, market volatility, and rising costs plaguing most manufacturers, many are turning to new ways of operating, and digital transformation is playing a pivotal role. Digital work instructions can be a critical component of the strategy, but what should you look for in a solution? This buyer’s guide* defines what digital work instructions are, the challenges they solve, and the benefits a company can realize by adopting them. The guide then outlines nine capabilities to look for in a solution.
While this buyer’s guide was written before the COVID-19 pandemic, the challenges facing manufacturers have not gone away, and in fact, in many cases have gotten even worse. Due to the pandemic, factories may need to get by with limited staff, while also coping with new safety guidelines. They also need to adapt to severe supply chain disruptions. Consequently, this has created demand for greater agility and efficiency, which has accelerated digital transformation. Access this buyer’s guide to learn about how digital work instructions can help.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
The Difference Between Digital and Electronic
While digital work instructions support going paperless, digital is not the same as electronic. While an electronic format such as a PDF offers the benefits of going paperless, it does not provide all of the benefits of going digital. A PDF is still a dumb document. The minute you create it, you break the digital thread. The document has no link to its source data, so as soon as there are changes, the PDF is outdated.
Digital Work Instructions
On the other hand, digital work instructions are smart and data-driven. They preserve the digital thread from the engineering data and connect it to the produced product. Digital work instructions dynamically guide operators as they work, providing instructions in a digestible way that is easy to follow. The software can pull data from multiple places, yet only show the operator what’s relevant to the current task, from a single screen. Work instructions are never out of date since they automatically update when there are changes. With connectivity, the software also captures what the operators do. This closed loop visibility validates that the instructions were executed properly and provides management with visibility, supporting continuous improvement.
What role does software play in the maturation of additive manufacturing to industrial scale?
This live webcast, hosted by Jim Brown and Igor Tsinman, President of AMC Bridge, explores the symbiotic relationship between additive manufacturing technology and the software applications that work cohesively with them. The panel includes Igal Kaptsan - General Manager Software of GE Additive and Moritz Maier - Co-Funder & Co-CEO of ELISE.
Register now to watch the May 13 webcast.
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[post_content] => 
What role should feature-based Product Line Engineering (PLE) play in a digital transformation strategy?
On May 11-12, 2021, Big Lever will be holding their Momentum 2021 Symposium and this question will be the underlying theme of the event.
Tech-Clarity’s Michelle Boucher will join the list of speakers and she will explore the question, why should business leaders care about PLE? Her talk will be at 1:45 EDT on Tuesday, May 11. You can register for the event here.
As products continue to grow in complexity, engineering jobs will only get harder. Digital transformation can help, and for many companies, this last year has dramatically accelerated adoption. With this growing adoption, what steps should you take to ensure you don’t fall behind your competition? Michelle’s talk will discuss how PLE fits into the digital transformation vision and the impact on the business. She will also explain how providing engineers with better solutions for PLE will help to execute a digital transformation strategy, while empowering your engineers to focus more on innovation and less on tedious tasks.
How can PLM enable medical device companies to streamline engineering and create digital continuity with a cohesive medical device digital thread? What should they look for in a PLM solution to improve closed-loop quality and patient outcomes while meeting complex, regional compliance demands?
This eBook takes a deeper dive into the data from our original, cross-industry digital thread study to better understand how the value and considerations for digital thread adoption apply to medical device manufacturers.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
Adopt PLM to support the digital thread. Top Performing companies are 2.4 times as likely to view PLM as critical to supporting the digital thread and are much more likely to use PLM to support it.
Enjoy the Benefits
The digital thread provides significant, measurable benefits including improved quality, increased engineering efficiency, enhanced innovation, faster time to market, and better compliance. Top Performers gain even higher benefits than others. For example, these more successful product developers enable their technical resources to spend 27% more time, on average, on value-added activities than their poorer performing counterparts.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full research, please visit our sponsor PTC (registration required).
If you have difficulty obtaining a copy of the research, please contact us.
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How can low-code help fill digital transformation gaps to help companies achieve the value of IoT opportunities? Jim Brown's guest post on Siemen's blog shows how companies can fill IoT gaps with low-code applications.
Below is a short summary, click here to read Jim Brown's full guest post on the Siemen's blog.
Digital Transformation Creates Opportunities
Today’s digital revolution is creating new opportunities for industrial companies. New business strategies powered by digital technologies are fundamentally changing the business landscape. Companies recognize they need to move quickly. As our Business Sustainability (and Survival) Strategies 2020 survey found, “Almost one-half of businesses (46%) have increased focus and/or accelerated digital transformation due to the pandemic.”
Digital Transformation Creates Gaps
Companies need to find ways to take advantage of the data and opportunities generated by the IoT. They need to figure out how to:
Digital transformation creates, exposes, and widens gaps in processes, organizational approaches, and systems. This leads 96% of industrial companies to say they need to create and implement new software more quickly. Addressing these application shortfalls is critical to long-term business success. Is developing applications with low-code the answer to filling the gaps? We surveyed over 300 manufacturers to find out.
Our new eBook, Filling Digital Transformation Gaps with Low-Code, looks at the challenges companies face today and how low-code development approaches can help.
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Could deeper insights lower some manufacturing costs?
For years, continuous improvement programs have successfully lowered operating costs. Now, companies are using advanced analytics in manufacturing to find even more opportunities. This is not your father’s analytics. Rather, it correlates among different data sources, including IoT, to deliver fresh insights for confidently moving to reduce costs.
Julie Fraser's guest post on PTC’s blog outlines what advanced analytics is and the technologies that support it. Then it explores how advanced analytics can help save costs on asset maintenance and related production problems, reduce energy costs, and keep employees and communities safe. This short read will give you a new foundation to consider ways that advanced analytics in manufacturing might lower costs.
For related research, read Lower Six Manufacturing Costs with IoT. This eBook explores how advanced analytics works with other technologies to reduce costs in a manufacturing plant.
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How can semiconductor companies make their product innovation even more profitable?
By moving beyond technical prowess. By retooling innovation for a modern lifecycle management approach for digital continuity. This white paper is based on a Tech-Clarity survey of 277 semiconductor and high-tech professionals to find out how semiconductor companies manage product development and product lifecycles. This industry-specific survey indicates that success requires some retooling.
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Digital Support for Retooling Semiconductor Innovation
It’s not realistic to expect to simplify the multi-application technology environment. That’s not what differentiates Top Performers. How they achieve superior performance is by being better at
What does Poor Quality Really Cost?
Calculating the actual cost of quality problems is not straightforward. Some of the expenses are apparent, but many are not. Quality is important to customers and to business profitability. So, truly understanding the cost of quality warrants the effort. Fortunately, advanced manufacturing technologies can help analyze and understand expenses plus reduce quality problems and escapes.
Julie Fraser's guest post on PTC’s blog outlines some ways advanced manufacturing technologies can help avoid quality problems, spot patterns to improve processes, and improve team communication. Explore this to consider whether you’ve included all of the costs of poor quality and prevented them in your operation.
For related research, read Lower Six Manufacturing Costs with IoT to explore how new technologies can help keep manufacturing expenses in check.
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What current challenge have manufacturers been wrestling with for at least 35 years?
System integration. Getting manufacturing data to flow has always been a problem. And it still is.
Based on Tech-Clarity research The Manufacturing Data Challenge: Lessons from Top Performers, most of the 300 respondents’ companies need better ways to integrate IT and OT data. Consistency and context are essential to better data management.
Read Julie Fraser’s guest blog on the Critical Manufacturing site. The post points to just how essential – and possible – better and more integrated manufacturing data management is today.
[post_title] => Manufacturing Data: Can It Finally Flow? (guest blog)
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[post_content] => What does a top expert in the engineering software market say about cloud migration for product innovation, engineering, and industrial software? What interesting things can we learn about Schnitger Corp’s Monica Schnitger during her interview with Tech-Clarity’s Jim Brown? Tune into this episode of (Not Your Typical) Tech Interview, the show where we make it interesting by asking some important industry questions and then add a couple more to have some fun and learn something about our industry experts. Want to find out why Monica thinks her first computer was really cool? Or why she hated the first one she worked on? Tune in to find out.
https://youtu.be/WgXZAs6z5B8
For more information on industry readiness for the cloud, please see the first video of this series, (Not Your Typical) Cloud Interview with Siemens' Paul Brown.
For more information on the engineering market's rapid shift to the cloud, please see the third video of this series, (Not Your Typical) Cloud Interview with Allan Behrens.
For more information cloud perceptions, please see the fourth and final video of this series, (Not Your Typical) Cloud Perceptions Discussion with Siemens' Paul Brown.
To get insights into your own company's cloud readiness please check out our Cloud PLM Advisor.
What does a top expert in the engineering software market say about cloud migration for product innovation, engineering, and industrial software? What interesting things can we learn about Schnitger Corp’s Monica Schnitger during her interview with Tech-Clarity’s Jim Brown? Tune into this episode of (Not Your Typical) Tech Interview, the show where we make it…
How can manufacturers get closer to customers, gain more intimacy, and create more business value for themselves and their customers? How does extending the digital thread into the customer experience and operational phase of the product lifecycle help? Our eBook shares the results of interviews with eight manufacturers to shed some light. Please enjoy the…
What is the best way for engineers to manage multiple design criteria, impacted by multiple physics, yet still meet deadlines, cost targets, and quality requirements? Tech-Clarity’s eBook, How to Engineer High-Performing, Quality Products without Extra Cost, examines this question. The eBook shares findings based on the results of a survey of 272 manufacturers. It also…
Could your overall equipment effectiveness (OEE) metrics do more to accelerate improvement? Most manufacturers’ can, but not necessarily by doing what they have been doing. Read our eBook, Getting Beyond Percentages to Insights with OEE, to learn more. Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required). For related…
How ready are manufacturers and AEC companies to embrace the cloud in engineering? AMC Bridge’s live webcast, hosted by Jim Brown, explores whether now is the right time to move toward cloud engineering software and data. Hear the panel of speakers share their deep experience and unique perspectives: Igor Tsinman, Co-founder and President of AMC Bridge,…
What do the experts say about cloud readiness in product innovation, engineering, and industrial software? What else can we learn about Siemens’ Paul Brown from his conversation with Tech-Clarity’s Jim Brown (no relation)? Tune into this episode of (Not Your Typical) Tech Interview, the show where we have a little fun by asking some important…
What are the core fundamentals that manufacturers need in their digital thread? What do they need in their PLM system to serve as their digital thread backbone? Read our eBook, The Seven Building Blocks of the Digital Thread, to learn more. Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration…
Are your manufacturing workers safe? Many companies don’t know. Yet, the risk of not knowing workplace safety is high. The global COVID-19 pandemic has brought a new focus to the health and safety of onsite frontline employees. Those workers are in high demand, and part of knowing who is at risk comes down to their…
Some see low-code as a promising new technology, but is it really new? No. Is it promising for digital transformation? Our survey says yes. Please enjoy the summary below or see Jim Brown’s full guest post on the Siemen’s blog to learn how the low-code technology “breakthrough” helps fill digital transformation gaps. Digital Transformation Gaps…
Could your production operation be more productive? Sometimes it’s difficult to tell, despite having plenty of data. Sometimes, metrics like overall equipment effectiveness (OEE) don’t even help uncover the hidden factory. Yet, OEE can and should pinpoint opportunities. Find out how to improve more reliably in this June 2021 webcast. Listen in to Tech-Clarity’s Julie…
With increasing demands for highly skilled operators, yet a shortage of workers with those skills, what can manufacturers do to boost manufacturing productivity? With workforce shortages, market volatility, and rising costs plaguing most manufacturers, many are turning to new ways of operating, and digital transformation is playing a pivotal role. Digital work instructions can be…
What role does software play in the maturation of additive manufacturing to industrial scale? This live webcast, hosted by Jim Brown and Igor Tsinman, President of AMC Bridge, explores the symbiotic relationship between additive manufacturing technology and the software applications that work cohesively with them. The panel includes Igal Kaptsan – General Manager Software of GE…
What role should feature-based Product Line Engineering (PLE) play in a digital transformation strategy? On May 11-12, 2021, Big Lever will be holding their Momentum 2021 Symposium and this question will be the underlying theme of the event. Tech-Clarity’s Michelle Boucher will join the list of speakers and she will explore the question, why should…
How can PLM enable medical device companies to streamline engineering and create digital continuity with a cohesive medical device digital thread? What should they look for in a PLM solution to improve closed-loop quality and patient outcomes while meeting complex, regional compliance demands? This eBook takes a deeper dive into the data from our original, cross-industry digital thread study to…
How can low-code help fill digital transformation gaps to help companies achieve the value of IoT opportunities? Jim Brown’s guest post on Siemen’s blog shows how companies can fill IoT gaps with low-code applications. Below is a short summary, click here to read Jim Brown’s full guest post on the Siemen’s blog. Digital Transformation Creates Opportunities Today’s…
Digital transformation creates, exposes, and widens gaps in processes, organizational approaches, and systems. This leads 96% of industrial companies to say they need to create and implement new software more quickly. Addressing these application shortfalls is critical to long-term business success. Is developing applications with low-code the answer to filling the gaps? We surveyed over…
Could deeper insights lower some manufacturing costs? For years, continuous improvement programs have successfully lowered operating costs. Now, companies are using advanced analytics in manufacturing to find even more opportunities. This is not your father’s analytics. Rather, it correlates among different data sources, including IoT, to deliver fresh insights for confidently moving to reduce costs….
How can semiconductor companies make their product innovation even more profitable? By moving beyond technical prowess. By retooling innovation for a modern lifecycle management approach for digital continuity. This white paper is based on a Tech-Clarity survey of 277 semiconductor and high-tech professionals to find out how semiconductor companies manage product development and product lifecycles….
What does Poor Quality Really Cost? Calculating the actual cost of quality problems is not straightforward. Some of the expenses are apparent, but many are not. Quality is important to customers and to business profitability. So, truly understanding the cost of quality warrants the effort. Fortunately, advanced manufacturing technologies can help analyze and understand expenses…
What current challenge have manufacturers been wrestling with for at least 35 years? System integration. Getting manufacturing data to flow has always been a problem. And it still is. Based on Tech-Clarity research The Manufacturing Data Challenge: Lessons from Top Performers, most of the 300 respondents’ companies need better ways to integrate IT and OT data….
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