From the category archives:

Customers

google-data-center

Companies are moving to cloud these days. The question vendors and customers are asking today is how do we move to the cloud. I’ve been asking this question in my post few month ago – PLM / PDM: Why the cloud? Wrong question… I discovered multiple options for customers to start their move to the cloud – mainstream cloud productivity tools to share data and collaborate, to migrate existing PLM platforms to cloud using IaaS strategies as well as to build new type of platforms and tools using new type of cloud platforms and infrastructure.

Today, I want to show the perspective on public cloud from both sides – large provider of public cloud infrastructure (Google) and large manufacturing company (GE) and to see what is the intersection between their strategies.

Google – example of public cloud platform

My attention caught Google presentation – The next generation of Cloud. Navigate your browser to the following link to watch it. Besides the fact it was inspiring by the exact same question – “How to you move to the cloud”, it provided a very interesting insight on the aspect of Google public cloud platform.

google-1google-2google-3google-4

Hardware cost is declining and Google is adjusting public cloud to match economic realities. Together with economic of scale and utilization, I can see a trajectory towards decreased of public cloud cost even more in the future. 

Large manufacturers move to the cloud

So, what customers are thinking about public cloud? Inforworld article just published an article presenting GE strategy to go all-in with public cloud. Presented as an interview with GE COO Chris Drumgoole, article outlines his aggressive plans to migrate to public cloud services — and how they support GE’s organizational goals. Read the article and draw your opinion. Here is my favorite passage:

Drumgoole won’t talk specific numbers, but he claims that “north of 90 percent” of the apps deployed by GE this year have been in a public cloud environment. We’re big fans of the idea that everything ends up in the public cloud utility model eventually. “Eventually” is the big caveat, because some people within GE would argue that should be tomorrow, while others would tell you it’s 15 years from now. It’s a subject of good debate. But either way, the regulatory environment we live in right now prohibits it. In a lot of spaces, when we say technically that we think something should be public, and we’re comfortable with it being public, the regulatory environment and the regulators aren’t quite there yet and we end up having to do some sort of private or hybrid cloud. That’s probably one of the biggest barriers to us moving more public.

Drumgoole speaks about connected devices, big data and analytics as a significant driver to move data to the cloud. I reminded me one of my previous posts – IoT data will blow up traditional PLM databases (http://beyondplm.com/2014/09/23/iot-data-will-blow-up-traditional-plm-databases/). The amount of data is huge and it will certainly require new approach in data management. Here is the example of how much data produced by jet engine these days:

Take one of the jet engines we make, and if it’s fully instrumented. On a typical flight, it’s going to generate about two terabytes of data. Not everybody fully instruments them, but if you instrument it the way people would like in order to get predictive data, you’re talking about 500GB per engine per flight. A flight with a GE engine takes off or lands every three seconds. All of a sudden, the data gets very, very large very, very fast.

PLM vendors and public cloud

As for today, I’m not aware about any PDM/PLM software using Google Cloud as a platform. The majority of cloud PLM software built on top of infrastructure provided by collocated hosting services and variety of Amazon cloud infrastructure. Dassault Systems and Siemens PLM made few public statements about support of diverse set of cloud options and IaaS infrastructure. It would be interesting to see future evolution of PLM cloud platforms.

What is my conclusion? The technology and economic of cloud is changing  these days. My hunch, it will pull more vendors and companies to use public cloud in the next few years. Software companies will try to balance between leveraging technological platforms and cost. At the same time, customers will try to balance between regulatory requirements and opportunities to make data accessible and scale without limits. Interesting time and significant opportunity. Just my thoughts..

Best, Oleg

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data-silos-architecture

Data is an essential part of every PLM implementation. It all starts from data – design, engineering, manufacturing, supply chain, support, etc. Enterprise systems are fragmented and representing individual silos of enterprise organization. To manage product data located in multiple enterprise data silos is a challenge for every PLM implementation.

To “demolish enterprise data silos” is a popular topic in PLM strategies and deployments. The idea of having one single point of truth is always in mind of PLM developers. Some of my latest notes about that here – PLM One Big Silo.

MCADCafe article – Developing Better Products is a “Piece of Cake” by Scott Reedy also speaks about how PLM implementation can help to aggregate all product development information scattered in multiple places into single PLM system. The  picture from the article presents the problem:

product-data-silos

The following passage is the most important, in my view:

Without a PLM system, companies often end up with disconnected silos of information. These silos inhibit the ability to control the entire product record and employees waste unnecessary time searching for the correct revision of the product design. As companies outsource design or manufacturing, it becomes even harder to ensure the right configuration of the product is leveraged by external partners.

Whether your company makes medical devices, industrial equipment, laptops, cell phones or other consumer products – PLM provides a secure, centralized database to manage the entire product record into a “Single Record of the Truth”… With a centralized product record, it is easy to propose and submit changes to the product design, track quality issues and collaborate with your internal teams and supply-chain partners.

The strategy of “single record of truth” is a centerpiece of each PLM implementation. However, here is the thing… if you look on the picture above you can certainly see some key enterprise  systems – ERP, CRM, MES, Project and program management, etc. PLM system can contain scattered data about product design, CAD files,  Part data, ECO records, Bill of Materials. However, some of the data will still remain in other systems. Some of the data gets duplicated. This is what happens in real world.

It made me think about 3 important data architecture aspects of every PLM implementation: data management, data reporting and data consistency.

Data management layer is focusing on what system is controlling data and providing master source of information.  Data cannot be mastered in multiple places. Implementation needs to organize logical split of information as well as ability to control “data truth”. This is the most fundamental part of data architecture.

Data reporting is focusing how PLM can get data extracted from multiple sources and presented in seamless way to end user. Imagine, you need to provide an “open ECO” report. The information can reside in PLM, ERP and maybe some other sources. To get right data in a right moment of time, can be another problem to resolve.

Last, but not least - data consistency. When data located in multiple places system will rely on so-called “eventual consistency” of information. The system of events and related transactions is keeping data in sync. This is not a trivial process, but many systems are operating in such way. What is important is to have a coordinated data flow between systems supporting eventual consistency and data management and reporting tools.

What is my conclusion? To demolish silos and manage single point of truth is a very good and important strategic message. However, when it comes to nuts and bolts of implementation, an appropriate data architecture must be in place to insure you will have right data at right time. Many PLM implementations are underestimating the complexity of data architecture. It leaves them with marketing slogans, burned budgets and wrong data. Just my thoughts…

Best, Oleg

picture credit MCADCafe article

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future-of-plm-for-sme

This week is very fruitful for PLM events. PTC Live 2014, Siemens PLM connection, GrabCAD media event. Twitter and other social networks can help you catch up with multiple events at the same time with minimum time. So, in 1-2 hours, you can get up to speed with news and updates. Chad Jackson’s and Allan Behrens’ tweets from GrabCAD media event turned my head back to small companies and customers that not using PDM/PLM systems these days.

“Per an @SiemensPLM research report, only 70% of #CAD user utilize #PDM.” @hardi_meybaum @GrabCAD briefing; @hardi_Maybaum @grabcad says that 70% of cad users don’t use PDM or PLM. That’s their target market.

In one of my earlier posts I wrote – Why PLM stuck to provide solution for SME? Low cost and efficiency – these are two topics on the list of PLM characteristics to be delivered to smaller companies. Easy to say, but very hard to achieve. CAD /PLM vendors are trying to get it done for the last couple of decades. I’ve been scratching my head trying to think what else can be done by PLM vendors to become more successful in SME manufacturing eco-system.

One of the trends that getting more visible these days is related to growing dominance of small organizations or groups. Large companies leaning towards small team to get more agile and efficient. Agile development methods. Two pizza box teams. Many other buzzwords…

My attention caught the following blog post – Cells, Pods, and Squads: The Future of Organizations is Small. Article speaks about what can future organization looks like. Read the article and draw your opinion. Here is my favorite passage that speaks about matrix product organization:

At Spotify, engineers and product people work within a kind of matrix organization that evolved out of a need to scale agile teams. Their basic unit or “cell” is called a “squad,” a cross-functional, self-organizing, co-located team of less than eight people that has autonomy on what to build and how. While each squad has a mission to work towards, they still have to harmonize across many levels — on product, company priorities, strategies, and other squads. The trick, Kniberg explains, is not to frame autonomy and alignment as poles on a spectrum but as dimensions. The goal is high autonomy/high alignment within this framework.

I liked the term – autonomous alignment. You may ask me how is it connected to PLM? Here is the thing… Majority of PLM systems today are designed for high level of alignment and low autonomy. PLM is focusing on how to support processes, getting people fill their role in the process. Then PLM can run the show. The combination of high autonomy and high alignment doesn’t fit existing top-down hierarchical PLM models.

What is my conclusion? Old technology, new reality. This is what happens with PLM these days. And this is what happens in many small organizations. Existing PLM experience doesn’t fit. Try to apply existing PLM products cause failure and inefficiency. New type of systems needed – flexible, agile and social. It will help people to get work done autonomously and keep the alignment on goals, data, processes, deliveries and, what is more important, company outcome.  Just my thoughts…

Best, Oleg

Photo credit idonethis.com blog. 
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What PLM vendors can learn from manufacturing startups?

June 13, 2014

About half year ago, I was looking for bluetooth location trackers. The solution that caught my attention was Tile. I liked the slick video and interesting design. At that time I learned that Tile grabbed $2.6M via crowdfunding – very remarkable result. However, I noticed that solution is not available. I followed Tile since than […]

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PLM Implementations Challenges and 3 Organizational Lenses

June 4, 2014

It is not unusual to hear people speaking about PLM implementation and changes that need to be done in the organization. Very often, PLM vendors or implementers are calling this process business transformation, which is literally supposed to make a change in everything that related to product design, engineering, manufacturing, support and services. So, to […]

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PLM Services, Department Stores and Digital Future

June 2, 2014

Don’t be surprised if your most trusted CAD/PLM service provider will be acquired tomorrow. According to Joe Barkai’s post- PLM Service Providers Ready To Deliver Greater Value, we have been witnessing a wave of mergers and acquisitions of PLM services companies (the examples – Accenture / PRION Group, Accenture / PCO Innovation, KPIT-Tech / I-Cubed […]

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Will PLM Vendors Jump into Microsoft Cloud Window in Europe?

April 10, 2014

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 […]

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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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Why hard to sell PLM over the phone

February 26, 2014

Life is transforming around us. Technology and communication are coming to our personal and business life. So, it comes to enterprise sales and PLM. The debates between new sales models and enterprise sales old schoolers are heating up. I posted about it last year and enjoyed many lovely conversations with sales people. My conclusion after […]

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CAD, Engineers and Online Communities

February 19, 2014

Remember our life before internet? The meaning of community was about social group that shares common values. Actually, the history of communities is longer than history of CAD software . So called “Community Rules” were mentioned in one of the first scrolls found in Qumran Cave. Community word often explains common geography or environment. However, […]

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