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PLM

plm-industries

Let’s talk about PLM technologies. Err.. PLM is not a technology. Even more, PLM is even not a product. So, what is that? Business strategy? Product development politics? For the sake of this conversation let’s leave these debates out. I want to speak about PLM technologies that allow you to manage product data, CAD files, bill of materials, rich set of related information as well as processes around it. This technology came to us about 20-25 years ago first as a very hard-coded set of tools. You had to build it literally different for every customer. So, it supported only large customers that were able to pay for software, infrastructure and implementation. Later on, PDM/PLM turned into software toolkit. The next step in PDM/PLM technology evolution was called flexible data modeling. The first flexible (dynamic) PLM data modeling tools were released back in 1995-2000 and… not much changed since then.

So, what happened since that time? PLM vendors went to develop out-of-the-box and vertical industry solutions in a massive way. David Linthicum’s article Saleforce.com officially is out of ideas reminded me about the joke comparing technology vs. industry play. Here is the passage:

When you run out of new ways to provide innovative technology, you go vertical. That was the running joke among CTOs back in the day. It usually meant the market had reached the saturation point and you could not find new growth

I found this message very compelling to what happens in PLM industry. PLM vendors are trying to compete by providing more comprehensive set of data models, best practices, process templates. By doing so, vendors want to reduce TCO of PLM implementations. It is actually brings success and many customers are using these solutions as a starting point for their PLM implementation.

So, where is the problem? For most of the situations, PLM is still costly and expensive implementation. Services may take up to 50% of the cost.  Here is the issue – core PLM data and process modeling technology didn’t change a lot for the last 10-15 years. Data models, CAD file management, product structure, process orchestration. All these things are evolving, but very little. The fundamental capabilities are the same. And it is very expensive to develop solutions using these technologies.

You may ask me about cloud technologies. Cloud is the answer. But only partially. It solves problems related to infrastructure, deployments and updates. Cloud provides clear benefits here. However, from the implementation technology standpoint, it is very similar to what non-cloud solutions can offer. Another interesting passage from Infoworld cloud computing article explains what is the problem new SaaS/cloud products can experience when trying to displace existing vendors:

So many companies have tried this approach — many times — but most found limited success. I can’t help but think the same will occur here. Salesforce will soon discover that when you get into vertical industries, the existing foundation of industry-specific applications is difficult to displace. Although Salesforce can always play the SaaS card, most of those industry-specific providers have already moved to SaaS or are in the midst of such a move. That means SaaS won’t be the key differentiator it was when Salesforce first provided its powerful sales automation service more than a decade ago.

What is my conclusion? Efficiency and cost. These are two most important things to make PLM implementation successful. So, the technology must be improved. Data and model capturing tools, flexibility and ease of use – everything must be more efficient to support future of manufacturing processes. How to do so? This is a good topic to discuss with technology leaders and strategiest. I’m going to attend COFES 2014 in 10 days. I hope to find some answers there and share it with you.

Best, Oleg

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european-plm-cloud

Cloud is raising lots of controversy in Europe. While manufacturing companies in U.S. are generally more open towards new tech, European rivals are much more conservative. Many of my industry colleagues in Germany, France, Switzerland and other EU countries probably can confirm that. Europe is coming to cloud systems, but much slower. I’ve been posting about cloud implications and constraints in Europe. Catch up on my thoughts here – Will Europe adopt cloud PLM? and here PLM cloud and European data protection reforms. These are main cloud concerns raised by European customers – data, privacy and specific country regulation. With companies located in different places in EU, it can be a challenge.

Earlier today, I’ve heard some good news about cloud proliferation in Europe coming from Microsoft. TechCrunch article – Microsoft’s Enterprise Cloud Services Get A Privacy Thumbs Up From Europe’s Data Protection Authorities speaks about the fact Microsoft enterprise cloud service meets the standards of data privacy in several European countries. Here is a passage that can put some lights on details and what does it mean:

But today comes a piece of good news for Redmond: the data protection authorities (DPAs) of all 28 European member states have decided that Microsoft’s enterprise cloud services meet its standards for privacy. This makes Microsoft Azure, Office 365, Microsoft Dynamics CRM and Windows Intune the first services to get such approval. The privacy decision was made by the “Article 29 Data Protection Working Party,” which notes that this will mean that Microsoft will not have to seek approval of individual DPAs on enterprise cloud contracts. In its letter to Microsoft (embedded below), chair Isabelle Falque-Pierrotin writes, “The MS Agreement, as it will be modified by Microsoft, will be in line with Standard Contractual Clause 2010/87/EU… In practice, this will reduce the number of national authorizations required to allow the international transfer of data (depending on the national legislation).”

Majority of PDM / PLM providers are friendly with Microsoft tech stack. Some of them are completely relies on MS SQL server and other Microsoft technologies. Most of them are supporting SharePoint. Now, these PLM vendors have an additional incentive to stay with Microsoft technologies for the cloud. It can be also a good news for manufacturing companies already deployed PDM/PLM solutions on top of Microsoft technologies and developed custom solutions.

What is my conclusion? The technological landscape these days is very dynamic. The time, one platform worked for everybody is over. In light of technological disruption and future challenges tech giants will be using different strategies in order to stay relevant for customers. Will European cloud regulation keep PDM/PLM players with MS Azure and other Microsoft technologies compared to alternative cloud technological stacks? How fast will take to other players to reach the same level of compliance? These are good questions to ask vendors and service providers. Just my thoughts…

Best, Oleg

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plm-and-enterprise-graph

Connectivity is a key these days and graphs are playing key role in the development of our connectivity. It doesn’t matter what to connect – people, information, devices. Graphs are fascinating things. Actually, I came to conclusion we live in the era of fast graph development. More and more things around us are getting “connected”.

It is almost two years since I first posted about Why PLM need to learn about Google Knowledge Graph. The story of Knowledge Graph is getting more power every day. GKG is growing. It represents “things” in the knowledge base describing lots of topics – music, books, media, films, locations, businesses and many others. Part of Google Knowledge Graph is fueled by Freebase - large collaborative database of structured data. Originally Freebase was developed by Metaweb and acquired by Google in 2010. It is still not completely clear how Google Knowledge Graph built. You can read some investigations here. Nevertheless, it is hard to undervalue the power of Knowledge Graph.

Another well known and publicly developed graph is Facebook social graph. Last year I posted – Why PLM should pay attention to Facebook Graph Search. Facebook graph represents structured information captured from Facebook accounts. It allows to run quite interesting and powerful queries (also known as Facebook Graph Search).

In my opinion, we are just in the beginning of future graph discovery and expanded information connectivity. It won’t stop in social networks and public web. I can see graphs will proliferate into enterprise and will create lots of valuable opportunities related to information connectivity and efficient query processing. Semanticweb.com article Let Enterprise Graph Tell You A Story speaks about enterprise as a set of Facebook pages. It explains how we can build a graph story of enterprise communication, collaboration, people activities, related data and other things. Here is my favorite passage from the article:

Wallace relies on Hadoop and graph database technology, with network data represented as a property graph. “Property graphs are utterly, totally extensible and flexible,” she said, and “the system gets smarter as you add more data into it.” The enterprise social network data generates triple sets (that John Smith created X Document that was downloaded by Jane Doe) that get pocketed into the graph, for example, as is metadata extracted from relational databases. A general set of algorithms can find a user within the graph and calculate his or her engagement level – activities, reactions, eminence and so on. “We now have a Big Data service with a set of APIs so people can query the enterprise graph,” she set, and then run analytics on those results that can drive applications.

I found this aspect of graph development very inspiring. To collect enterprise information into graph database and run a diverse set of queries can be an interesting thing. If I think about PLM as a technological and business approach, the value of graph connecting different part of information about product and activities located in different enterprise systems can be huge. These days, PLM vendors and manufacturing companies are using a diverse strategies to manage this information – centralized databases, master data management, enterprise search and others. Graph data approach can be an interesting option, which will make enterprise looks like a web we all know today.

What is my conclusion? The growing amount of information in enterprise organizations will change existing information approaches. It doesn’t mean all existing technologies will change overnight. However, new complementary techniques will be developed to discover and use information in a new ways. Graph is clearly going to play big role. PLM strategist, developers and managemers should take a note. Just my thoughts…

Best, Oleg

picture credit semanticweb.com

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Why so hard to break PLM into components?

April 8, 2014

Product Lifecycle Management is not a software. It is business strategy and approach. One of my blog readers mentioned that in the discussion few days ago. Nevertheless, manufacturing companies are usually talking about PLM systems and platforms as something solid and unbreakable. The same picture you can see when looking on PLM online marketing materials […]

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How cloud PLM can reuse on-premise enterprise data?

April 7, 2014

Cloud becomes more and more an obsolete additional word to call every technology we develop I hardly can image anything these days that we develop without “cloud in mind”. This is absolutely true about PLM. Nowadays, it is all about how to make cloud technologies to work for you and not against you. For cloud […]

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PLM Best Practices and Henry Ford Mass Production System

April 6, 2014

If you are in PLM business, I’m sure you are familiar with term called “best practices”. The term is widely used to explain how PLM system can be deployed, how to manage data and how to organize and optimize product development processes. So, where are roots of PLM best practices and why PLM vendors like […]

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Why PLM stuck in PDM?

April 5, 2014

I’ve been following CIMdata PLM market industry forum earlier this week on twitter. If you’re are on twitter, navigate here or search for #PLM4UM hash tag on twitter. The agenda of PLM forum is here. The following session discussed one of my favorite topics- PDM v PLM. PLM: Well Beyond Just PDM by Peter Bilello. […]

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Bill of Materials (BOM) Management: Data, Lifecycle, Process

April 2, 2014

In my recent post about bill of materials – Bill of Materials (BOM): process or technology challenge? I touched the variety of topics related to BOM organization – multiple BOMs and need to manage BOM located in different systems. My main question at the post was around how to make the work with multiple BOMs easier? […]

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Breaking news: ENOVIA announced Beyond PLM partnership

April 1, 2014

04/01/2014. Newton, MA via @afjplmnews. ENOVIA – the collaborative innovation application brand of Dassault Systemès enables your innovators to benefit from the true rewards of collaboration. Powered by 3DEXPERIENCE, ENOVIA goes Beyond PLM by providing leading enterprise collaborative applications for all industries, to promote innovation and operational excellence. The set of collaborative solutions includes Aerospace and […]

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How to eliminate PLM customization problems?

March 28, 2014

I’m following strategic visions of the major PLM vendors 2014+ publication by Jim Brown – well known analyst and my blogging buddy for last few years. It started as a publication covering Autodesk, Dassault, PTC, Siemens (vendors listed alphabetically). Last week, Jim expanded his PLM vision publications by adding Aras Innovator to the list. Navigate here to […]

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