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.
PLM
Expanding PLM’s Purview – Quality and Risk Management
I had the chance to talk with … both Dyadem and MasterControl earlier this year about their Quality Lifecycle Management (QLM) solutions. The conversations are examples of how PLM is expanding to cover additional product-related processes. Quality is among a number of product lifecycle processes – including compliance, service, product costing, direct sourcing and potentially others- that are logical extensions to PLM. QLM, however, is still a standalone solution for the most part. So what is QLM, and how does it fit into the product lifecycle and into product lifecycle management (PLM)?
Social Computing Drives Innovation
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.
Redesign PLM, or Put the People in PLM?
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?
Insights into the Future from Engineering Sofware Users
A quick peek into some research on … the priorities, plans, views, and economic outlooks of companies that use engineering software. The survey-based study, published last night by Cyon Research, paints a very interesting picture of how manufacturers plan to invest and leverage engineering software (and related hardware) in the near future. I have had the opportunity to review and comment on the report during its development, and one thing that continuously struck me is not just how useful the published insights on the future of engineering software are, but the richness and depth of the information that the Cyon team couldn’t fit into the report.
Why is Implementing PLM Hard?
What I learned this week … is that there are still some technical challenges that make implementing PLM challenging, but that is not what this post is about. The technical challenges include customization, data migration, and integration among others. See Oleg’s post on the “3 main factors of mainstream PLM adoption” for more detail on each of these, and his views on why these three factors impact the adoption rate of PLM. I accept Oleg’s premise on these factors (although we will likely continue to debate the relative priority of ERP integration) from a technical perspective. But I think any technical conversation about PLM implementation has to be complemented with a view on why PLM is really hard – you have to change the way people work in order to improve your product development performance and your product profitability.
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