Clarity on PLM

A quick peek into some research on … product compliance for formula-based companies in a report titled Issue in Focus: Product Compliance – The Hidden Tax on Innovation: Enhancing Innovation in Formula-Based Companies through Real-time, Automated Compliance Monitoring. One of the predictions that came true in Mythbusing Product Innovation and PLM 2010 Predictions was that PLM would expand to address product compliance. My past reports, such as the report on Making Product Compliance Sustainable, focused primarily on regulations like RoHS and REACH that impact product people that make discrete items like electronic or mechanical devices. But formula- and recipe-based product developers face their own set of compliance challenges. This report focused on their needs, and how PLM systems can help reduce the manual workload burden placed on them by product compliance. 

The Research Findings

The research included interviews with consumer goods companies including Revlon, Zotos International (a division of Shiseido Co,. Ltd.) and made a few key observations:

•  Early compliance checking helps avoid rework and speed time to market in product formulation and testing by ensuring product contents are acceptable early in the product development process
• Manual product compliance processes are slow, inneficient, and inhibits innovation by forcing key innovators to spend inordinate amounts of time looking up information and making it difficult for them to try new, innovative ideas quickly and with confidence

Given the need for early compliance checking and the potential for these checks to grind product innovation to a halt, companies appear to be between a rock and a hard place. The report goes on to discuss how real-time, automated compliance monitoring can help relieve the innovator of this compliance burden so they can focus on developing great products. This requires an infrastructure that:

• Provides knowledge of global compliance requirements
• Recognizes the full composition of their raw materials
• Understands the product formula as it is being designed
• Checks compliance real-time as the developer innovates
• Provides full, electronic documentation of compliance

There is more detail on each of these requirements in the report.

Implications for (Formula-Based) Manufacturers

For companies that develop and manufacture formula-based products, the compliance challenge will only grow. Government regulations and consumer sentiment will continue to push companies with greater scrutiny of their product contents, and restricted material lists will continue to grow. On the other hand, consumers will continue to reward innovate new products. In order to meet both demands, product developers must have the right tools to innovate rapidly, but with the comfort that there is a system behind them that will keep them out of compliance trouble.

So that was a quick peek into some recent research on making product compliance more efficient for product developrs in formula-based industries, I hope you found it interesting. Does the research reflect your experiences? Do you see it differently? Let us know what it looks like from your perspective. Please feel free to review more free research and white papers about PLM and other enterprise software for manufacturers from Tech-Clarity.

What I learned this week… came from a Twitter message responding to my blog. I thought that seemed appriorate given that we were discussing social computing and social networking. The message was in response to a post the other day about Going Social with Product Development, pointing me to the embedded video. The post discussed the use of social computing techniques in product innovation, product development, and engineering. 

Note: Thanks to 3DPerspectives for passing this along

The Video

This video is a very straight-forward explanation, using simple terms and a practical example. Well done.

Implications for Manufacturers

I focused more on the internal uses in my research, because I feel those will be the first capabilities adopted. What I liked is that this video really focuses more on innovation in external communities. While I think this kind of example involves more thinking in regards to where the business value lies as compared to collaboration within the corporate social network, I also think the potential for developing a unique and compelling business model is higher and may offer higher returns. I think it’s good for manufacturers to start adopting social computing in their current PLM environment, while exploring the benefits of leveraging external communities for greater innovation.

So just a short and sweet link to the video with some of my thoughts, I hope you found it interesting.

A quick peek into some research on … how manufacturers are taking advantage of social computing and “Web 2.0″ technologies to raise the bar on product development performance in my new report Tech-Clarity Insight: Going Social with Product Development: Improving Product Development Performance with Social Computing. The paper discusses the intersection of social computing and new product development (NPD) processes and tools. I have posted frequently about the intersection of social computing and PLM and product innovation, and this research provides some examples on how these strategies are starting to play out for manufacturers like Microsoft (think PC hardware and game consoles, not Windows) and Pitney Bowes.
The Research Findings

The paper discusses uses of social computing from the basics of collaboration to the adoption of more innovative business models. Most companies will start with more conservative extensions to existing processes like design collaboration. In these cases, incorporating tools like instant messaging into the product development workflow can help streamline interactions. Capabilities like presence detection and interactive file sharing help make existing collaborative processes better. For many companies, these capabilities are readily available and require little change to underlying business processes.

Other forms of communication, such as blogs and wikis, offer a combination of better communication and knowledge management. These online discussion tools change the product dialogue from a one-way push of information to a two-way, interactive, dynamic, electronic conversation to help people better share information and ideas. Beyond better communication, the simple fact that the conversations are happening centrally and in electronic format turns product-related discussions and decision-making into a searchable knowledge asset.

Social computing can also be used to extend collaboration and information sharing to broader communities. This allows product developers to collaborate with the people they know, but also extend their search to find others in the corporate network that have valuable knowledge and expertise that previously would have gone untapped. By connecting people around product and project context, companies enable “social discovery” which fundamentally changes the available talent and expertise available to a project.

Beyond the corporate community, companies can also develop new product intellectual property (IP) from social computing. By extending the online community to customers and the market, new opportunities to gather “voice of the customer” and test ideas emerge. While these concepts require more change to the business and the way it operates, they also offer an even greater potential return by leveraging larger communities.

Implications for Manufacturers
The implications break down into two categories. The first implications are about the applicability and importance of social computing in product development. You have probably heard me talk about this before, and this report helps confirm and expand my thoughts on the subject. There is clearly something of value happening with the intersection of this exciting and popular new way of communicating and the business of developing profitable products.

The second set of implications fall into the category of practical advice and lessons learned to take advantage of this new opportunity. The opportunities are available, but the most important thing is that manufacturers don’t discount the applicability of social computing concepts based on their personal experience with Facebook, Twitter, MySpace, LinkedIn, or any other social networking sites. Manufacturers have to see through the use of these communication techniques for “fun” and see the significant business potential. This potential will likely never come from the public social networking sites, but instead by incorporating these “Web 2.0″ concepts into existing infrastructure and product development solutions. This is the most practical method to both achieve the value, but also ensure that product data and intellectual property (IP) is protected and that the solutions are used in the right context – to improve products and projects that drive corporate profitability.

So that was a quick peek into some recent research on social computing in product development, I hope you found it interesting. Does the research reflect your experiences? Do you see it differently? Let us know what it looks like from your perspective.

Please feel free to review more free research and white papers about PLM and other enterprise software for manufacturers from Tech-Clarity

A quick peek into some research on … the use of business intelligence in PLM provides insight on taking advantage of the tremendous amount of product data  accumulating in today’s PLM systems. The research discusses how the maturation of manufacturers’ PLM implementations has created a tremendous volume of untapped information that can be leveraged to improve product innovation, product development, and engineering performance. As it has in previous enterprise applications (ERP, CRM, SCM, others), the time has come for manufacturers to tap into their growing information goldmines through the use of business intelligence (BI) tools.

The Research Findings

The research points out two parallel trends in PLM implementations today:

• Manufacturers have moved forward along the PLM implementation maturity curve – meaning they now have stable implementations and clean data
• PLM has evolved and expanded to incorporate more valuable, business-focused data in addition to technical information – meaning the data to be mined covers a broader spectrum of the product lifecycle, including cost, projects, sourcing, service, and more in addition to purely technical engineering data

The result of these two trends is that there is now a lot more usable business data in PLM. The report points out a number of areas of value that can be mined from the data, including savings on new product development timelines, closing the loop from service to engineering, improving product quality, analyzing sourcing, and reducing cost. In short, it shows that value can be extracted by improving pretty much any part of the product innovation, product development, and engineering processes. Please read the report for more details and examples.

Implications for Manufacturers

The message for manufacturers is that “there is gold in them hills” …. errrrrr, in those databases. The research also points out some special considerations for business intelligence in a PLM environment. For most manufacturers, applying a BI tool is not the difficult part. In fact, they probably have (at least) one tool available in their IT toolkit. But before diving in from a technical perspective, manufacturers need to be very careful to consider security, IP protection, and regulatory requirements that surround this very sensitive data. Manufacturers should also look for ways to leverage PLM vendor offerings or partnerships that give them a ready-made view into the PLM data and security model, to avoid spending time recreating the wheel and potentially making mistakes that provide misleading “facts” that people will trust. As the report says, “Developing an effective BI in PLM strategy also requires knowledge of the engineering and product development domains and the specific software applications being mined.”

So that was a quick peek into some recent research on the maturation of PLM implementations and the opportunity it provides for data mining in PLM, I hope you found it interesting. Does the research reflect your experiences? Do you see it differently? Let us know what it looks like from your perspective.

Please feel free to review more free research and white papers about PLM and other enterprise software for manufacturers from Tech-Clarity.

I had the chance to talk with … Jim Todhunter and the team at Invention Machine about the new product release they announced today. There are lot of things that I like in the release designed to help further Invention Machine’s ability to operationalize innovation. But what really struck me was the goal of this release to improve “Every Day Innovation” in a procedural, sustainable way.

What do they Do?

In short, and in my words, Invention Machine offers a software solution that helps manufacturers turn innovation into a repeatable process. This is what I like to call “operationalizing innovation” as opposed to leaving innovation to chance. Invention Machine does this through a combination of:

• Task-oriented innovation workflows
• Packaged innovation, engineering and problem-solving tools and methodologies
• Innovation and engineering knowledge management and search

Invention Machine is a very unique company, and one that many have a hard time grasping exactly what they do. But what always strikes me is that they have a very impressive list of customers. I have had the chance to talk with quite a few of these customers, and they are all positive about what Invention Machine has done for them. So even if they are hard to understand, they are definitely worth a look.

What’s New?

So what is new in the release? There is quite a bit. Their Goldfire 5.5 launch adds new capabilities across the product line, and also introduces a new product called “Goldfire Insight.” The goal of this solution is to boost deployment of Goldfire to the “every day” innovators. Innovation comes in many forms, and Invention Machine is trying to extend their capabilities into every day engineering and innovation problem solving instead of just generating the big ideas or solving big, hairy problems. Jim Todhunter talks about the “little i” ind of innovation in addition to the “big I” type. Maybe one way to think of it is that Goldfire Insight helps the every day innovator stand on the shoulders of the master innovators to turn innovation into reality.

There are also new capabilities in the existing solutions. One of these capabilities is a question answering technology that helps innovators find the knowledge they need to get their jobs done without reinventing the wheel. There is also a new Knowledge Navigator that helps return knowledge in logical categories or “lenses,” providing order and intelligence to unstructured information and query results by leveraging Invention Machine’s strong semantic search capabilities.

There is also a new Research Guide that I am pretty interested in seeing in action at customers. The Research Guide not only helps capture engineering knowledge, it helps capture the innovation and decision-making process. Think of dynamically creating a “mind map” during a research or innovation project that documents the path you took (and links to the knowledge you uncovered) so you can go back and revisit it at a later time. This creates a new source of knowledge, by documenting the innovation process and the innovation path to create new knowledge. Pretty compelling. I liked the way Jim Todhunter explained it (possibly paraphrased):

Information -> enables -> Communities -> to perform -> Innovation -> which generates -> Information

So that’s what I hear from Invention Machine, I hope you found it useful. What do you think? What else should I have asked them?

What I learned this week … was sparked by some recent social networking announcements on people tagging. The most recent was that Facebook plans to offer tagging very similar to what Twitter offers. This follows other announcements around geo-tagging, but I am really most interested in how tagging people can help in product development (and overall in product innovation).

Tag – You are It!

Most people that use social networks are getting used to tagging, particularly those that use Twitter. In Facebook, people are used to seeing tagging on uploaded photos. So what is tagging? Tagging (for our purposes here) is just associated a person with content. There are other forms of tagging as well, such as the “#” tagging or “hashcodes” in Twitter than help associate content with events or topics, keyword tagging, etc. But what I am talking about is simply including an individual’s identification along with the content. But I am not talking about their name, I am talking about tagging their online presence. Tagging isn’t just letting people know who is involved. The power of people tagging comes when associating the person to the context allows the tag to be followed to see or learn more about the person tagged.

Quick Example

OK, you are reading a blog on social networking so you probably already know this, but just in case I will provide a quick personal example:

I attended a conference, and one of the people I follow on Twitter mentioned that they were going to the bar with two other individuals. Not that interesting, right? Except that they were at the same conference that I was and my contact tagged the two people by including their “@” codes, or their Twitter identities. That meant that anybody that followed any of the three would now know they were getting together for a drink. So what? I recognized one of the names as somebody I wanted to meet. The second name I didn’t recognize, but I followed the link to the profile and found out it was another blogger that I would like to meet. In short, my network expanded by two new people that day because one friend tagged the other two. And, I got a free drink out of it too.

Can We Get Back to Product Development Please?

Thanks for your patience with the aside, I try not to assume everybody knows about things like tagging. So how does this apply to product development? Let’s take a quick example of status reports. If a status report mentions that @Engineer is working on a problem, I might read that status report and have something to offer. I could instantly click and connect with the tagged person (hopefully with some security settings in place) and offer my advice. Or, perhaps it is a year later and I am facing that same problem. I might search on the issue and find this old status report. Then, I see that @Engineer faced this problem a year ago. I could follow the link and find additional content related to the tagged individual that might help me with my problem, or connect to ask for advice.

Implications for Manufacturers

It’s Monday, I will keep this short. Tagging is a very important part of social computing, and highly applicable to PLM because product development is fundamentally a people-driven process. This is just one more reason that social computing in PLM makes so much sense to me.

Thinking of tagging in product development also ties strongly into past discussions such as Oleg’s PLM, don’t fight processes – focus on people! and other related discussions in the PLM community of late. It is also very important when considering the importance of social discovery and how social computing drives innovation.

So I believe tagging people in social computing will be helpful to product developers, I hope you found it interesting. Who knew? I didn’t, if you did let us know about it.

What I learned this week … came from some research I have been doing for a client. As a part of it, I have been spending a little more time getting to know the “Idea Management” software space. The conclusion that I am drawing is that while there are some mature software solutions to manage ideas, there are also a host of other specialty solutions that help generate the idea in the first place, analyze the idea, or further develop it.

Beyond Managing Ideas

I have always felt that there is more to idea management than “managing ideas.” That isn’t to say that simply managing ideas – including capturing them, categorizing them, and making them easy to retrieve is not important. What I am finding is that there are also solutions that:

• Filter and group ideas
• Prioritize and rank ideas
• Collaborate on ideas

Before Managing IdeasAnd of course in order to manage ideas, you have to have some. This is where some really creative solutions are popping up (or at least popping onto my radar screen). There are solutions that:

• Stimulate the submission of ideas
• Target and focus ideas on specific topics
• Provide a marketplace for those with ideas to meet those searching for them
• Account for rewards and recognition for ideas / innovation

Ideas and Social Computing

Some other interesting things I am running across include companies that are leveraging social networking and social computing to tap into communities for ideas and innovation. This is a very interesting topic by itself, including crowdsourcing among other techniques.

Idea Management as an Ecosystem

So there is a lot of variety in the “Idea Management” software ecosystem. Of course, many solutions cover more than one of the capabilities listed above. But like PLM – and even more than PLM – there is not a uniform, mature footprint shared by the competing solutions. There is a lot of innovation happening in innovation software.

So that is what I learned, I hope you found it interesting. Who knew? I didn’t, if you did let us know about it. And if you know more than I do, please share it with all of us. What am I missing? What vendors should I learn more about?

What I learned this week …came from an article in The New York Times by Alex Wright. The article, Mining the Web for Feelings not Facts, was a great look into a concept that is new to me, an emerging field called “sentiment analysis.” The article defines sentiment analysis as “translating the vagaries of human emotion into hard data.” The examples show companies using data analysis techniques to gain insight into what social media (such as social networks and blogs) are saying about their company. My thoughts immediately turned to the value this information would have to product developers to understand how customers feel about their products, and what a great tool this could be in the social computing toolkit for PLM.

Sentiment Analysis

I won’t repeat all of the fascinating things the article says, and instead recommend you take a few minutes to read it. It is very interesting, and an exciting new concept. Here are some of the key points from my perspective:

• Sentiment analysis opens a “window into the collective consciousness of Internet users”
• Opinions are a kind of “virtual currency“
• Social media offers a “rich vein of market intelligence“

The article points out that this is a new, imperfect science and mentions some interesting pioneers of the concept. It also introduces a new book which is on my “to read” list titled Opinion Mining and Sentiment Analysis by Bo Pang and Lillian Lee.

My Thoughts  – Sentiment Analysis in PLM

So how can this social computing approach be used to develop more profitable products? If we can gather feedback on products, product ideas and competitive offerings rapidly it gives us the opportunity to react early to – or ahead of -  a trend. Many manufacturers are starting to monitor social networking sites like Twitter to see what people are saying, but for the most part it is manual except for filtering on keywords. Currently, the review and analysis depends on people. This is not a sustainable approach for product managers and product marketers to sift through mountains of comments, at least in my opinion. But if social computing techniques can detect and alert them to potential changes in market opinion that they should pay attention to, that could provide the input needed to help steer product development (or at least product marketing, if changing the product quickly is not an option).

Product managers are already overwhelmed with input, and the Internet is creating even more every day. The information is valuable, but takes time to review and interpret. If computing algorithms can help decipher and summarize, then product developers can focus on the important trends as opposed to sifting through the haystack to find them.

Implications for Manufacturers

This is just one more example of how companies are trying to leverage social computing to improve their product innovation, product development, and engineering performance. There is clearly something going on here, something that offers significant advantages to the manufacturers that can figure it out and use social computing to their benefit. This example is part of what I call “social discovery,” which is a more advanced concept than more straight-forward uses of social computing in PLM such as enhancing collaboration. For more thoughts on social computing in PLM, you can click on the “social computing” tag on the ClarityonPLM site, or start with these thoughts on social product development and social computing in PLM.

So can we mine the web for emotions and use that market intelligence to drive product development? I think there is some real potential, among other opportunities that social computing and social networking are opening up. I hope you found it interesting. Who knew? I didn’t, if you did let us know about it.

Note: No, the picture has absolutely nothing to do with mining social networks, but I Googled “mind reading machines” and this is what came up. It made me smile, so I thought I would share it with you.

What I learned this week …came from a side conversation during some research I am working on in the innovation systems ecosystem. I was discussing the importance of different solutions in the space with this major electronic manufacturer, and he started to get very passionate when he turned the conversation to Web 2.0 and how it can improve innovation. With the work I have been doing on social computing in PLM, we ended up having a fascinating conversation about the potentials. It’s always nice when you see confirmation of a trend from an unexpected source.

My Thoughts on Connecting People to Improve Innovation

During our conversation, I kept coming back to a thought that I posted in one of my earlier discussions about the potential for social computing to revolutionalize PLM. I was trying to communicate the fact that social networking in PLM is more than just enhancing collaboration as we know it. I made the following observations:

• Collaboration – Working and sharing ideas with people you already know
• Social Networking in PLM – Discovering new people and ideas that can further your product innovation and engineering efforts
• In short, the difference is about discovery

I tried to make the point that “discovery” in product innovation, product development, and engineering was the new value that can be tapped into with social computing. Social computing techniques will also enhance existing collaboration techniques, but this is the really exciting stuff to me. How can we leverage our “social” business networks to tap into the vast amount of knowledge available to us?

His Thoughts on Connecting People to Improve Innovation

Without sharing any of my views, our conversation turned from the ability to search for product knowledge to the need to search for the people associated with the product knowledge. It was a totally unexpected shift in the conversation, because it is not directly in line with the particular research I was discussing with him. Of course that is what made the conversation so valuable. He told a story that was very similar to my past experience. One of the key values in finding engineering or innovation knowledge is to then find the people associated with it. In turn, the value may come from the discovery of the deliverables (designs, research, products, etc.) but also from collaborating with the creator of the deliverables. After all, there is knowledge in the deliverables. But there is probably even more knowledge available from the man or woman that created the knowledge!

So given recent conversations about putting the people in PLM, people centric PLM, and focusing on people vs. process in PLM in the PLM blogosphere, I thought it was great to see the intersection of PLM with social computing and innovation. Very exciting. I hope you found it interesting. Who knew? I didn’t, if you did let us know about it. And I look forward to sharing more of the conversation as that research makes its way to the public eye.

What I learned this week … is based on a post in Vuuch Voice. The post, People Centric PLM – A New PLM Age Is Born, really made me think. I don’t know where Chris Williams got the picture, but I don’t think it looks like him at all. Well, maybe a little. After recovering from the shock of the picture, I really started thinking about whether social computing in PLM requires a reinvention of PLM, or whether we are talking about augmenting the capabilities that PLM already provides?

People Centric PLM

In Chris’ post, he discusses the approaches that PTC and Dassault Systemes are taking to support the more people-centric, creative process of design. One of the comments also includes Siemens PLM in the mix. The post points out efforts by the major PLM companies (ProductPoint and Blue Kiwi) that are intended to provide social computing capabilities in PLM. But the real question is whether these solutions replace PLM, or extend it.

There has been a lot of discussion recently, including in Oleg’s blog, on the need for easier to use PLM. Chris has blogged about this as well. But are we realistically thinking that simplifying PLM and adding social computing capabilities are one in the same? I wonder if there is some concern that the PLM community will throw the baby out with the bath water?

My Thoughts?

What do I think? I am glad you asked. I think we need to look at two important, distinct needs for the future of PLM:

• PLM needs to be simpler to use
• PLM need to incorporate social computing

Will both happen at the same time? Not likely. Should they? Probably not. The underlying technology in PLM (managing files, document control and generation, revisioning, search capabilities, etc.) are incredibly valuable and important. They could be easier to use, no doubt, but they are fundamentally important. But making PLM easier to use should not require a rewrite. The underlying logic and infrastructure are a huge asset. What is needed is the ability to access it using more tailored, simple, task-based interfaces. This is what things like SOA arthitecture and composite applications are designed for.

For social computing (see more of my thoughts in Is Social Product Development Viable without PLM, We are not Going to Build an Airplane on Facebook, and related posts) there are some really unique opportunities for companies to improve product development performance. Some are very tied to the underlying information and processes in PLM (such as improving design collaboration and knowledge management with messaging, wikis, blogs, presence detection, etc.) and need to be tightly integrated – if not a part of – PLM. There are also some are new processes like crowdsourcing for ideas and innovation challenges that – at least in the near term – are likely to be developed independently from PLM. At some point, these solutions may become a part of the PLM footprint as well, but they don’t have the same need for underlying data and integration to process as adding social computing to core PLM activities. So Chris is absolutely right when he says vendors are taking different people-centric directions. And they probably should. But they could also take both if they choose.

Implications for Manufacturers

Look for simpler PLM solutions, and look for social computing capabilities to help improve product innovation, product development, and engineering. But don’t expect them at the same time. Consider offerings from your PLM vendor that add social computing into the fabric of their solution, but don’t shy away from experimenting with integrated plugins and standalone solutions in the right scenario. And yes, continue to push for simpler PLM. But let’s not ignore the high value of what we have already developed over the last decade or more.

So that’s what I think about adding people to PLM, I hope you found it interesting. Who knew this would be such an interesting topic? I didn’t, if you did let us know about it.