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Last week, I participated in the annual 3DEXPERIENCE User Conference, organized by the ENOVIA and NETVIBES brands. With approximately 250 attendees, the 2-day conference on the High-Tech Campus in Eindhoven was fully booked.
My PDM/PLM career started in 1990 in Eindhoven.
First, I spent a significant part of my school life there, and later, I became a physics teacher in Eindhoven. Then, I got infected by CAD and data management, discovering SmarTeam, and the rest is history.
As I wrote in my last year’s post, the 3DEXPERIENCE conference always feels like a reunion, as I have worked most of my time in the SmarTeam, ENOVIA, and 3DEXPERIENCE Eco-system.
Innovation Drivers in the Generative Economy
Stephane Declee and Morgan Zimmerman kicked off the conference with their keynote, talking about the business theme for 2024: the Generative Economy. Where the initial focus was on the Experience Economy and emotion, the Generative Economy includes Sustainability. It is a clever move as the word Sustainability, like Digital Transformation, has become such a generic term. The Generative Economy clearly explains that the aim is to be sustainable for the planet.
Stephane and Morgan talked about the importance of the virtual twin, which is different from digital twins. A virtual twin typically refers to a broader concept that encompasses not only the physical characteristics and behavior of an object or system but also its environment, interactions, and context within a virtual or simulated world. Virtual Twins are crucial to developing sustainable solutions.
Morgan concluded the session by describing the characteristics of the data-driven 3DEXPERIENCE platform and its AI fundamentals, illustrating all the facets of the mix of a System of Record (traditional PLM) and Systems of Record (MODSIM).
3DEXPERIENCE for All at automation.eXpress
Daniel Schöpf, CEO and founder of automation.eXpress GmbH, gave a passionate story about why, for his business, the 3DEXPERIENCE platform is the only environment for product development, collaboration and sales.
Automation.eXpress is a young but typical Engineering To Order company building special machinery and services in dedicated projects, which means that every project, from sales to delivery, requires a lot of communication.
For that reason, Daniel insisted all employees to communicate using the 3DEXPERIENCE platform on the cloud. So, there are no separate emails, chats, or other siloed systems.
Everyone should work connected to the project and the product as they need to deliver projects as efficiently and fast as possible.
Daniel made this decision based on his 20 years of experience in traditional ways of working—the coordinated approach. Now, starting from scratch in a new company without a legacy, Daniel chose the connected approach, an ideal fit for his organization, and using the cloud solution as a scalable solution, an essential criterium for a startup company.
My conclusion is that this example shows the unique situation of an inspired leader with 20 years of experience in this business who does not choose ways of working from the past but starts a new company in the same industry, but now based on a modern platform approach instead of individual traditional tools.
Augment Me Through Innovative Technology
Dr. Cara Antoine gave an inspiring keynote based on her own life experience and lessons learned from working in various industries, a major oil & gas company and major high-tech hardware and software brands. Currently, she is an EVP and the Chief Technology, Innovation & Portfolio Officer at Capgemini.
She explained how a life-threatening infection that caused blindness in one of her eyes inspired her to find ways to augment herself to keep on functioning.
With that, she drew a parallel with humanity, who continuously have been augmenting themselves from the prehistoric day to now at an ever-increasing speed of change.
The current augmentation is the digital revolution. Digital technology is coming, and you need to be prepared to survive – it is Innovate of Abdicate.
Dr. Cara continued expressing the need to invest in innovation (me: it was not better in the past 😉 ) – and, of course, with an economic purpose; however, it should go hand in hand with social progress (gender diversity) and creating a sustainable planet (innovation is needed here).
Besides the focus on innovation drivers, Dr. Cara always connected her message to personal interaction. Her recently published book Make it Personal describes the importance of personal interaction, even if the topics can be very technical or complex.
I read the book with great pleasure, and it was one of the cornerstones of the panel discussion next.
It is all about people…
It might be strange to have a session like this in an ENOVIA/NETVIBES User Conference; however, it is another illustration that we are not just talking about technology and tools.
I was happy to introduce and moderate this panel discussion,also using the iconic Share PLM image, which is close to my heart.
The panelists, Dr. Cara Antoine, Daniel Schöpf, and Florens Wolters, each actively led transformational initiatives with their companies.
We discussed questions related to culture, personal leadership and involvement and concluded with many insights, including “Create chemistry, identify a passion, empower diversity, and make a connection as it could make/break your relationship, were discussed.
And it is about processes.
Another trend I discovered is that cloud-based business platforms, like the 3DEXERIENCE platform, switch the focus from discussing functions and features in tools to establishing platform-based environments, where the focus is more on data-driven and connected processes.
Some examples:
Data Driven Quality at Suzlon Energy Ltd.
Florens Wolters, who also participated in the panel discussion “It is all about people ..” explained how he took the lead to reimagine the Sulon Energy Quality Management System using the 3DEXPERIENCE platform and ENOVIA from a disconnected, fragmented, document-driven Quality Management System with many findings in 2020 to a fully integrated data-driven management system with zero findings in 2023.
It is an illustration that a modern data-driven approach in a connected environment brings higher value to the organization as all stakeholders in the addressed solution work within an integrated, real-time environment. No time is wasted to search for related information.
Of course, there is the organizational change management needed to convince people not to work in their favorite siloes system, which might be dedicated to the job, but not designed for a connected future.
The image to the left was also a part of the “It is all about people”- session.
Enterprise Virtual Twin at Renault Group
The presentation of Renault was also an exciting surprise. Last year, they shared the scope of the Renaulution project at the conference (see also my post: The week after the 3DEXPERIENCE conference 2023).
Here, Renault mentioned that they would start using the 3DEXPERIENCE platform as an enterprise business platform instead of a traditional engineering tool.
Their presentation today, which was related to their Engineering Virtual Twin, was an example of that. Instead of using their document-based SCR (Système de Conception Renault – the Renault Design System) with over 1000 documents describing processes connected to over a hundred KPI, they have been modeling their whole business architecture and processes in UAF using a Systems of System Approach.
The image above shows Franck Gana, Renault’s engineering – transformation chief officer, explaining the approach. We could write an entire article about the details of how, again, the 3DEXPERIENCE platform can be used to provide a real-time virtual twin of the actual business processes, ensuring everyone is working on the same referential.
Bringing Business Collaboration to the Next Level with Business Experiences
To conclude this section about the shifting focus toward people and processes instead of system features, Alizée Meissonnier Aubin and Antoine Gravot introduced a new offering from 3DS, the marketplace for Business Experiences.
According to the HBR article, workers switch an average of 1200 times per day between applications, leading to 9 % of their time reorienting themselves after toggling.
1200 is a high number and a plea for working in a collaboration platform instead of siloed systems (the Systems of Engagement, in my terminology – data-driven, real-time connected). The story has been told before by Daniel Schöpf, Florens Wolters and Franck Gana, who shared the benefits of working in a connected collaboration environment.
The announced marketplace will be a place where customers can download Business Experiences.
There is was more ….
There were several engaging presentations and workshops during the conference. But, as we reach 1500 words, I will mention just two of them, which I hope to come back to in a later post with more detail.
- Delivering Sustainable & Eco Design with the 3DS LCA Solution
Valentin Tofana from Comau, an Italian multinational company in the automation and committed to more sustainable products. In the last context Valentin shared his experiences and lessons learned starting to use the 3DS LifeCycle Assessment tools on the 3DEXPERIENCE platform.
This session gave such a clear overview that we will come back with the PLM Green Global Alliance in a separate interview. - Beyond PLM. Productivity is the Key to Sustainable Business
Neerav MEHTA from L&T Energy Hydrocarbon demonstrated how they currently have implemented a virtual twin of the plant, allowing everyone to navigate, collaborate and explore all activities related to the plant.I was promoting this concept in 2013 also for Oil & Gas EPC companies, at that time, an immense performance and integration challenge. (PLM for all industries) Now, ten years later, thanks to the capabilities of the 3DEXPERIENCE platform, it has become a workable reality. Impressive.
Conclusion
Again, I learned a lot during these days, seeing the architecture of the 3DEXPERIENCE platform growing (image below). In addition, more and more companies are shifting their focus to real-time collaboration processes in the cloud on a connected platform. Their testimonies illustrate that to be sustainable in business, you have to augment yourself with digital.
Note: Dassault Systemes did not cover any of the cost for me attending this conference. I picked the topics close to my heart and got encouraged by all the conversations I had.
Another year passed, and as usual, I took the time to look back. I always feel that things are going so much slower than expected. But that’s reality – there is always friction, and in particular, in the PLM domain, there is so much legacy we cannot leave behind.
It is better to plan what we can do in 2024 to be prepared for the next steps or, if lucky, even implement the next steps in progress.
In this post, I will discuss four significant areas of attention (AI – DATA – PEOPLE – SUSTAINABILITY) in an alphabetic order, not prioritized.
Here are some initial thoughts. In the upcoming weeks I will elaborate further on them and look forward to your input.
AI (Artificial Intelligence)
Where would I be without talking about AI?
When you look at the image below, the Gartner Hype Cycle for AI in 2023, you see the potential coming on the left, with Generative AI at the peak.
Part of the hype comes from the availability of generative AI tools in the public domain, allowing everyone to play with them or use them. Some barriers are gone, but what does it mean? Many AI tools can make our lives easier, and there is for sure no threat if our job does not depend on standard practices.
AI and People
When I was teaching physics in high school, it was during the introduction of the pocket calculator, which replaced the slide rule.You need to be skilled to uyse the slide rule, now there was a device that gave immediate answers. Was this bad for the pupils?
If you do not know a slide rule, it was en example of new technology replacing old tools, providing more time for other details. Click on the image or read more about the slide rule here on Wiki.
Or today you would ask the question about the slide rule to ChatGPT? Does generative AI mean the end of Wikipedia? Or does generative AI need the common knowledge of sites like Wikipedia?
AI can empower people in legacy environments, when working with disconnected systems. AI will be a threat for to people and companies that rely on people and processes to bring information together without adding value. These activities will disappear soon and you must consider using this innovative approach.
During the recent holiday period, there was an interesting discussion about why companies are reluctant to change and implement better solution concepts. Initially launched by Alex Bruskin here on LinkedIn , the debate spilled over into the topic of TECHNICAL DEBT , well addressed here by Lionel Grealou.
Both articles and the related discussion in the comments are recommended to follow and learn.
AI and Sustainability
Similar to the introduction of Bitcoin using blockchain technology, some people are warning about the vast energy consumption required for training and interaction with Large Language Models (LLM), as Sasha Luccioni explains in her interesting TED talk when addressing sustainability.
She proposes that tech companies should be more transparent on this topic, the size and the type of the LLM matters, as the indicative picture below illustrates.
Carbon Emissions of LLMs compared
In addition, I found an interesting article discussing the pros and cons of AI related to Sustainability. The image below from the article Risks and Benefits of Large Language Models for the Environment illustrates nicely that we must start discussing and balancing these topics.
To conclude, in discussing AI related to sustainability, I see the significant advantage of using generative AI for ESG reporting.
ESG reporting is currently a very fragmented activity for organizations, based on (marketing) people’s goodwill and currently these reports are not always be evidence-based.
Data
The transformation from a coordinated, document-driven enterprise towards a hybrid coordinated/connected enterprise using a data-driven approach became increasingly visible in 2023. I expect this transformation to grow faster in 2024 – the momentum is here.
We saw last year that the discussions related to Federated PLM nicely converged at the PLM Roadmap / PDT Europe conference in Paris. I shared most of the topics in this post: The week after PLM Roadmap / PDT Europe 2023. In addition, there is now the Heliple Federated PLM LinkedIn group with regular discussions planned.
In addition, if you read here Jan Bosch’s reflection on 2023, he mentions (quote):
… 2023 was the year where many of the companies in the center became serious about the use of data. Whether it is historical analysis, high-frequency data collection during R&D, A/B testing or data pipelines, I notice a remarkable shift from a focus on software to a focus on data. The notion of data as a product, for now predominantly for internal use, is increasingly strong in the companies we work with
I am a big fan of Jan’s posting; coming from the software world, he describes the same issues that we have in the PLM world, except he does not carry the hardware legacy that much and, therefore, acts faster than us in the PLM world.
An interesting illustration of the slow pace to a data-driven environment is the revival of the PLM and ERP integration discussion. Prof. Jörg Fischer and Martin Eigner contributed to the broader debate of a modern enterprise infrastructure, not based on systems (PLM, ERP, MES, ….) but more on the flow of data through the lifecycle and an organization.
It is a great restart of the debate, showing we should care more about data semantics and the flow of information.
The articles: The Future of PLM & ERP: Bridging the Gap. An Epic Battle of Opinions! and Is part master in PLM and ERP equal or not) combined with the comments to these posts, are a must read to follow this change towards a more connected flow of information.
While writing this post, Andreas Lindenthal expanded the discussion with his post: PLM and Configuration Management Best Practices: Part Traceability and Revisions. Again thanks to data-driven approaches, there is an extending support for the entire product lifecycle. Product Lifecycle Management, Configuration Management and AIM (Asset Information Management) have come together.
PLM and CM are more and more overlapping as I discussed some time ago with Martijn Dullaart, Maxime Gravel and Lisa Fenwick in the The future of Configuration Management. This topic will be “hot”in 2024.
People
From the people’s perspective towards AI, DATA and SUSTAINABILITY, there is a noticeable divide between generations. Of course, for the sake of the article, I am generalizing, assuming most people do not like to change their habits or want to reprogram themselves.
Unfortunate, we have to adapt our skills as our environment is changing. Most of my generation was brought up with the single source of truth idea, documented and supported by science papers.
In my terminology, information processing takes place in our head by combining all the information we learned or collected through documents/books/newspapers – the coordinated approach.
For people living in this mindset, AI can become a significant threat, as their brain is no longer needed to make a judgment, and they are not used to differentiate between facts and fake news as they were never trained to do so
The same is valid for practices like the model-based approach, working data-centric, or considering sustainability. It is not in the DNA of the older generations and, therefore, hard to change.
The older generation is mostly part of an organization’s higher management, so we are returning to the technical debt discussion.
Later generations that grew up as digital natives are used to almost real-time interaction, and when applied consistently in a digital enterprise, people will benefit from the information available to them in a rich context – in my terminology – the connected approach.
AI is a blessing for people living in this mindset as they do not need to use old-fashioned methods to acquire information.
“Let ChatGPT write my essay.”
However, their challenge could be what I would call “processing time”. Because data is available, it does not necessarily mean it is the correct information. For that reason it remains important to spend time digesting the impact of information you are reading – don’t click “Like”based on the tittle, read the full article and then decide.
meaning you only become experienced if you learn from failures.
Sustainability
Unfortunately, sustainability is not only the last topic in alphabetic order, as when you look at the image below, you see that discussions related to sustainability are in a slight decline at C-level at the moment.
I share this observation in my engagements when discussing sustainability with the companies I interact with.
The PLM software and services providers are all on a trajectory of providing tools and an infrastructure to support a transition to a more circular economy and better traceability of materials and carbon emissions.
In the PLM Global Green Alliance, we talked with Aras, Autodesk, Dassault Systems, PTC, SAP, Sustaira, TTPSC(Green PLM) and more to come in 2024. The solution offerings in the PLM domain are available to start, now the people and processes.
For sure, AI tools will help companies to get a better understanding of their sustainability efforts. As mentioned before AI could help companies in understanding their environmental impact and build more accurate ESG reports.
Next, being DATA-driven will be crucial. As discussed during the latest PLM Roadmap/PDT Europe conference: The Need for a Governance Digital Thread.
And regarding PEOPLE, the good news is that younger generations want to take care of their future. They are in a position to choose the company to work for or influence companies by their consumer behavior. Unfortunately, climate disasters will remind us continuously in the upcoming decades that we are in a critical phase.
With the PLM Global Green Alliance, we strive to bring people together with a PLM mindset, sharing news and information on how to move forward to a sustainable future.
Mark Reisig (CIMdata – moderator for Sustainability & Energy) and Patrice Quencez (CIMPA – moderator for the Circular Economy) joined the PGGA last year and you will experience their inputs this year.
Conclusion
As you can see from this long post, there is so much to learn. The topics described are all actual, and each topic requires education, experience (success & failures) combined with understanding of the technology concepts. Make sure you consider all of them, as focusing on a single topic will not make move faster forward – they are all related. Please share your experiences this year—Happy New Year of Learning.
Those who have read my blog posts over the years will have seen the image to the left.
The people, processes and tools slogan points to the best practice of implementing (PLM and CM) systems.
Theoretically, a PLM implementation will move smoothly if the company first agrees on the desired processes and people involved before a system implementation using the right tools.
Too often, companies start from their historical landscape (the tools – starting with a vendor selection) and then try to figure out the optimal usage of their systems. The best example of this approach is the interaction between PDM(PLM) and ERP.
PDM and ERP
Historically ERP was the first enterprise system that most companies implemented. For product development, there was the PDM system, an engineering tool, and for execution, there was the ERP system. Since ERP focuses on the company’s execution, the system became the management’s favorite.
The ERP system and its information were needed to run and control the company. Unfortunately, this approach has introduced the idea that the ERP system should also be the source of the part information, as it was often the first enterprise system for a company. The PDM system was often considered an engineering tool only. And when we talk about a PLM system, who really implements PLM as an enterprise system or was it still an engineering tool?
This is an example of Tools, Processes, and People – A BAD PRACTICE.
Imagine an engineer who wants to introduce a new part needed for a product to deliver. In many companies at the beginning of this century, even before starting the exercise, the engineer had to request a part number from the ERP system. This is implementation complexity #1.
Next, the engineer starts developing versions of the part based on the requirements. Ultimately the engineer might come to the conclusion this part will never be implemented. The reserved part number in ERP has been wasted – what to do?
It sounds weird, but this was a reality in discussions on this topic until ten years ago.
Next, as the ERP system could only deal with 7 digits, what about part number reuse? In conclusion, it is a considerable risk that reused part numbers can lead to errors. With the introduction of the PLM systems, there was the opportunity to bridge the gap between engineering and manufacturing. Now it is clear for most companies that the engineer should create the initial part number.
Only when the conceptual part becomes approved to be used for the realization of the product, an exchange with the ERP system will be needed. Using the same part number or not, we do not care if we can map both identifiers between these environments and have traceability.
It took almost 10 years from PDM to PLM until companies agreed on this approach, and I am curious about your company’s status.
Meanwhile, in the PLM world, we have evolved on this topic. The part and the BOM are no longer simple entities. Instead, we often differentiate between EBOM and MBOM, and the parts in those BOMs are not necessarily the same.
In this context, I like Prof. Dr. Jörg W. Fischer‘s framing:
EBOM is the specification, and MBOM is the realization.
(Leider schreibt Er viel auf Deutsch).
An interesting discussion initiated by Jörg last week was again about the interaction between PLM and ERP. The article is an excellent example of how potentially mainstream enterprises are thinking. PLM = Siemens, ERP = SAP – an illustration of the “tools first” mindset before the ideal process is defined.
There was nothing wrong with that in the early days, as connectivity between different systems was difficult and expensive. Therefore people with a 20 year of experience might still rely on their systems infrastructure instead of data flow.
But enough about the bad practice – let’s go to people, processes, (data), and Tools
People, Processes, Data and Tools?
I got inspired by this topic, seeing this post two weeks ago from Juha Korpela, claiming:
Okay, so maybe a hot take, maybe not, but: the old “People, Process, Technology” trinity is one of the most harmful thinking patterns you can have. It leaves out a key element: Data.
His full post was quite focused on data, and I liked the ” wrapping post” from Dr. Nicolas Figay here, putting things more in perspective from his point of view. The reply made me think about how this discussion fits into the PLM digital transformation discussion. How would it work in the two major themes I use to explain the digital transformation in the PLM landscape?
For incidental readers of my blog, these are the two major themes I am using:
- From Coordinated to Connected, based on the famous diagram from Marc Halpern (image below). The coordinated approach based on documents (files) requires a particular timing (processes) and context (Bills of Information) – it is the traditional and current PLM approach for most companies. On the other hand, the Connected approach is based on connected datasets (here, we talk about data – not files). These connected datasets are available in different contexts, in real-time, to be used by all kinds of applications, particularly modeling applications. Read about it in the series: The road to model-based and connected PLM.
. - The need to split PLM, thinking in System(s) of Record and Systems of Engagement. (example below) The idea behind this split is driven by the observation that companies need various Systems of Record for configuration management, change management, compliance and realization. These activities sound like traditional PLM targets and could still be done in these systems. New in the discussion is the System of Engagement which focuses on a specific value stream in a digitally connected manner. Here data is essential.I discussed the coexistence of these two approaches in my post Time to Split PLM. A post on LinkedIn with many discussions and reshares illustrating the topic is hot. And I am happy to discuss “split PLM architectures” with all of you.
These two concepts discuss the processes and the tools, but what about the people? Here I came to a conclusion to complete the story, we have to imagine three kinds of people. And this will not be new. We have the creators of data, the controllers of data and the consumers of data. Let’s zoom in on their specifics.
A new representation?
I am looking for a new simplifaction of the people, processes, and tools trinity combined with data; I got inspired by the work Don Farr did at Boeing, where he worked on a new visual representation for the model-based enterprise. You might have seen the image on the left before – click on it to see it in detail.
I wrote the first time about this new representation in my post: The weekend after CIMdata Roadmap / PDT Europe 2018
Related to Configuration Management, Martijn Dullaart and Martin Haket have also worked on a diagram with their peers to depict the scope of CM and Impact Analysis. The image leads to the post with my favorite quote: Communication is merely an exchange of information, but connections tell the story.
Below I share my first attempt to combine the people, process and tools trinity with the concepts of document and data, system(s) of record and system(s) of engagement. Trying to build the story. Look if you recognize the aspects of the discussion above, and feel free to develop enhancements.
I look forward to your suggestions. Like the understanding that we have to split PLM thinking, as it impacts how we look at implementations.
Conclusion
Digital transformation in the PLM domain is forcing us to think differently. There will still be processes based on people collecting, interpreting and combining information. However, there will also be a new domain of connected data interpreted by models and algorithms, not necessarily depending on processes.
Therefore we need to work on new representations that can be used to tell this combined story. What do you think? How can we improve?
My last blog post was about reasons why PLM is not simple. PLM supporting a well-planned business transformation requires business change / new ways of working. PLM is going through different stages. We are moving from drawing-centric (previous century), through BOM-centric (currently) towards model-centric (current and future). You can read the post here: PLM is not simple!
I was happy to see my blog buddy Oleg Shilovitsky chimed in on this theme, with his post: Who needs Simple PLM? Oleg reviewed the stakeholders around a PLM implementation. An analytical approach which could be correct in case predictive human beings were involved. Since human beings are not predictive and my focus is on the combination of PLM and human beings, here are some follow comments on the points Oleg made:
Customers (Industrial companies)
Oleg wrote:
A typical PLM customer isn’t a single user. A typical PLM buyer is engineering IT organization purchasing software to solve business problem. His interest to solve business problem, but not really to make it simple. Complex software requires more people, an increased budget and can become an additional reason to highlight IT department skills and experience. End-users hate complex software these days,therefore, usability is desired, but not top priority for enterprise PLM.
My comments on this part: PLM becomes more and more an infrastructure for product information along the whole lifecycle. PLM is no longer an engineering tool provided by IT.
There are now many other stakeholders that need product data, in particular when we are moving to a digital enterprise. A model-based approach connects Manufacturing and Service/Operations through a digital thread. It is the business demanding for PLM to manage their complexity. IT will benefit from a reduction in silo applications.
PLM Vendors
Oleg wrote:
…most PLM vendors are far away from a desired level of simplicity. Marketing will like “simple” messages, but if you know how to sell complex software, you won’t be much interested to see “simple package” everyone can sell. However, for the last decade, PLM vendors were criticized a lot for complexity of their solutions, so they are pretty much interested how to simplify things and present it as a competitive differentiation.
Here we are aligned. All PLM vendors are dreaming of simplifying their software. Imagine: if you have a simple product everyone can use, you would be the market leader and profitable like crazy without a big effort as the product is simple. Of course, this only works, assuming this dream can be realized.
Some vendors believe that easy customization or configuration of the system means simplification. Others believe a simple user-interface is the key differentiator. Compared to mass-consumer software products in the market, a PLM system is still a niche product, with a limited amount of users working with the exact same version of the software. Combined with the particular needs (customizations) every company has (“we are different”), there will never be a simple PLM solution. Coming back to the business transformation theme, human beings are the weakest link.
Implementation and Service Providers
Oleg wrote:
Complex software, customization, configuration, know-hows, best practices, installation… you name it.More of these things can only lead to more services which is core business of PLM service providers. PLM industry is very much competitive, but simplicity is not a desired characteristic for PLM when it comes to service business. Guess what… customer can figure it out how to make it and stop paying for services.
Here we are totally aligned. In the past, I have been involved in potential alliances where certain service providers evaluated SmarTeam as a potential tool for their business. In particular, the major PLM service providers did not see enough value in an easy to configure and relatively cheap product. Cheap means no budget for a huge amount of services.
Still, the biggest problem SmarTeam had after ten years was the fact that every implementation became a unique deployment. Hard to maintain and guarantee for the future. In particular, when new functionality was introduced which potentially already existed as customization. Implementation and service providers will never say NO to a customer when it comes to further customization of the system. Therefore, the customer should be in charge and own the implementation. For making strategic decision support can come from a PLM consultant or coach.
PLM Consultants
Here Oleg wrote:
Complex software can lead to good consulting revenues. It was true many years for enterprise software. Although, most of PLM consultants are trying to distant from PLM software and sell their experience “to implement the future”, simplicity is not a favorite word in consulting language. Customer will hire consulting people to figure out the future and how to transform business, but what if software is simple enough to make it happen without consultant? Good question to ask, but most of them will tell you it is not a realistic scenario. Which is most probably true today. But here is the hint – remember the time PC technicians knew how to configured jumpers on PC cards to make printer actually print something?
Here we are not aligned. Business transformations will never happen because of simple tools. People are measured and pushed to optimize their silos in the organization. A digital transformation, which is creating a horizontal flow and transparency of information, will never happen through a tool. The organization needs to change, and this is always driven by a top-down strategy. PLM consultants are valuable to explain the potential future, to coach all levels of the organization. In theory, a PLM consultant’s job is tool independent. However, the challenge of being completely disconnected from the existing tools might allow for dreams that never can be realized. In reality, most PLM consultants are experienced in one or more specific tools they have been implementing. The customer should be aware of that and make sure they own the PLM roadmap.
My conclusion:
Don’t confuse PLM with a tool, simple or complex. All PLM tools have a common base and depending on your industry and company’s vision there will be a short list. However, before you touch the tools, understand your business and the transformation path you want to take. And that is not simple !!
Your opinion?
Oleg and I can continue this debate for a long time. We would be interested in learning your view on PLM and Simplicity – please tune in through the comments section below:
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