This year, I will celebrate 25 years since I started my company, TacIT, to focus on knowledge management. However, quickly, I was back in the domain of engineering data management, which became a broader topic, which we now call PLM.

Looking back, there have been significant changes in these 25 years, from systems to strategy, for documents to data, from linear to iterative. However, in this post, I want to look at my 2024 observations to see where we can progress. This brings me to the first observation.

 

PLM is human

Despite many academic and marketing arguments describing WHAT and WHY companies need specific business or software capabilities, there is, above all, the need for people to be personally inspired and connected. We want to belong to a successful group of people, teams and companies because we are humans, not resources.

It is all about people, which was also the title of my session during the March 2024 3DEXPERIENCE User Conference in Eindhoven (NL). I led a panel discussion on the importance of people with Dr. Cara Antoine, Daniel Schöpf, and Florens Wolters, each of whom actively led transformational initiatives within their companies.

Through Dr. Cara Antoine, e at Capgemini and a key voice for women in tech, I learned about her book Make It Personal. The book inspired me and motivated me to continue using a human-centric approach. Give this book to your leadership and read it yourself. It is practical, easy to read, and encouraging

Recently, in my post “PLM in real life and Gen AI“, I shared insights related to PLM blogs and Gen AI – original content is becoming increasingly the same, and the human touch is disappearing, while generating more and longer blogs.

I propose keeping Gen AI-generated text for the boring part of PLM and exploring the human side of PLM engagements in blogs. What does this mean? In the post, I also shared the highlights of the Series 2 podcast I did together with Helena Gutierrez from Share PLM. Every recording had its unique human touch and knowledge.

We are now in full preparation for Series 3—let us know who your hero is and who should be our guest in 2025!

 

PLM is business

One of the most significant changes I noticed in my PLM-related projects was that many of the activities connected the PLM activities to the company’s business objectives. Not surprisingly, it was mostly a bottom-up activity, explaining to the upper management that a modern, data-driven PLM strategy is crucial to achieving business or sustainability goals.

I wrote two long posts about these experiences. The first one,” PLM – business first,” zooms in on the changing mindset that PLM is not an engineering system anymore but part of a digital infrastructure that supports companies in achieving their business goals. The image below from Dr. Yousef Hooshmand is one of my favorites in this context. The 5 + 1 steps, where the extra step is crucial: Long Executive Commitment.

So, to get an executive commitment, you need to explain and address business challenges.

Executive commitment and participation can be achieved through a Benefits Dependency Network approach, as illustrated in this webinar I did with the Heliple-2 team, where we were justifying the business needs for Federated PLM. More about the Federated PLM part in the next paragraph.

Another point to consider is that when the PLM team is part of the IT organization (the costs side), they have a big challenge in leading or even participating in business discussions. In this context, read (again) Jan Bosch’s post: Structure Eats Strategy.

The second post, more recent, summarized the experiences I had with several customer engagements. The title says it all: “Don’t use the P**-word! – 5 lessons learned“, with an overlap in content with the first post.

Conclusion:  A successful PLM strategy starts with the business and needs storytelling to align all stakeholders with a shared vision or goal.

 

PLM is technology

This year has seen the maturation of PLM technology concepts. We are moving away from a monolithic PLM system and exploring federated and connected infrastructures, preferably a mix of Systems of Record (the old PLMs/ERPs) and Systems of Engagement (the new ways of domain collaboration). The Heliple project manifests such an approach, where the vertical layers are Systems of Record, and the horizontal modules could be Systems of Engagement.

 

I had several discussions with typical System of Engagement vendors, like Colab (“Where traditional PLM fails”) and Partful (“Connected Digital Thread for Lower and Mid-market OEMs“), but I also had broader discussions during the PLM Roadmap PDT Europe conference – see: R-evolutionizing PLM and ERP and Heliple.

I also follow Dr. Jorg Fischer, who lectures about digital transformation concepts in the manufacturing business domain. Unfortunately, for a broader audience, Jörg published a lot in German, and typically, his references for PLM and ERP are based on SAP and Teamcenter. His blog posts are always interesting to follow – have a look at his recent blog in English: 7 keys to solve PLM & ERP.

Of course, Oleg Shilovitsky’s impressive and continuous flow of posts related to modern PLM concepts is amazing—just browse through his Beyond PLM home page to read about the actual topics happening in his PLM ecosystem or for example, read about modern technology concepts in this recent OpenBOM article.

Conceptually, we are making progress. As a commonality, all future concepts focus on data, not so much on managing documents—and here comes the focus on data.

 

PLM needs accurate data

In a data-driven environment, apps or systems will use a collection of datasets to provide a user with a working environment, either a dashboard or an interactive real-time environment. Below is my AI (Artist Impression) of a digital enterprise.

Of course, it seems logical; the data must be accurate as you no longer have control over access to the data in a data-driven environment. You can be accountable for the data; others can consume the data you created without checking its accuracy by your guidance.

Therefore, data governance and an excellent enterprise architecture are crucial to support the new paradigm:

The nearest source of truth supported by a single source of change
Quote: Yousef Hoohmand

Forget the Single Source of Truth idea, a previous century paradigm.

With data comes Artificial intelligence and algorithms that can play an essential role in your business, providing solutions or insights that support decision-making.

In 2024, most of us have been exploring the benefits of ChatGPT and Generative AI. You can describe examples of where AI could assist in every aspect of the product lifecycle. I saw great examples from Eaton, Ocado, and others at the PLM Roadmap/PDT Europe conference.

See my review here: A long week after the PLM Roadmap / PDT Europe conference.

Still, before benefiting from AI in your organization, it remains essential that the AI runs on top of accurate data.

Sustainability needs (digital) PLM

This paragraph is the only reverse dependency towards PLM and probably the one that is less in people’s minds, perhaps because PLM is already complex enough. In 2024, with the PLM Green Global Alliance, we had good conversations with PLM-related software vendors or service partners (aPriori, Configit, Makersite, PTC, SAP, Siemens and Transition Technologies PSC) where we discussed their solutions and how they are used in the field by companies.

We discovered here that most activities are driven by regulations, like ESG reporting, the new CSRD directive for Europe and the implementation of the Digital Product Passport. What is clear from all these activities is that companies need to have a data-driven PLM infrastructure to connect product data to environmental impacts, like carbon emissions equivalents.

Besides complying with regulations, I have been discussing the topic of Product-As-A-Service, or the Product Service System, this year, with excellent feedback from Dave Duncan. You can find a link to his speech: Improving Product Sustainability – PTC with PGGA.

Also, during the PLM Roadmap / PDT Europe conference, I discussed this topic, explaining that achieving a circular economy is a long-term vision, and the starting point is to establish a connected infrastructure within your organizations and with your customers/users in the field.

Sustainability should be on everyone’s agenda. From the interactions on LinkedIn, you can see that we prefer to discuss terms like PDM/PLM or eBOM/mBOM in the PLM domain. Very few connect PLM to sustainability.

Sustainability is a long-term mission; however, as we have seen from long-term missions, they can be overwhelmed by the day’s madness and short-term needs.

 

PLM is Politics

You might not expect this paragraph in my log,  as most PLM discussions are about the WHAT and the WHY of a PLM solution or infrastructure. However, the most challenging part of PLM is the HOW, and this is the area that I am still focused on.

In the early days of mediating mainly in SmarTeam implementations, it became clear that the technology was not the issue. A crisis was often due to a lack of (technical) skills or methodology and misplaced expectations.

Unicorns & HIPPOs in an enterprise (Peter Vind)

When the way out became clear, politics often started. Sometimes, there was the HIPPO (HIghest Paid Person’s Opinion) in the company, as Peter Vind explained, or there was the blame game, which I described in my 2019 “The PLM blame game post”.

What makes it even more difficult is that people’s opinions in PLM discussions are often influenced by their friendly relations or history with a particular vendor or implementer from the past, which troubles a proper solution path.

These aspects are challenging to discuss, and nobody wants to discuss them openly. A company (and a country) must promote curiosity instead of adhering to mainstream thinking and working methods. In our latest Share PLM podcast, Brian Berger, a VP at Metso, mentions the importance of diversity within an organization.

“It is a constant element of working in a global business, and the importance cannot be overstated.”

This observation should make us think again when we want to simplify everything and dim the colors.

 

Conclusion

Initially, I thought this would be a shorter post, but again, it became a long read – therefore, perhaps ideal when closing 2024 and looking forward to activities and focus for 2025. Use this time to read books and educate yourself beyond the social media posts (even my blogs are limited 😉)

In addition, I noticed the build-up of this post was unconsciously influenced by Martijn Dullaart‘s series of messages titled “Configuration Management is ……”. Thanks, Martijn, for your continuous contributions to our joint passion – a digital enterprise where PLM and CM flawlessly interact based on methodology and accurate data.