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.
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.
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?
What I learned this week … came from a blog entry by Paul Hobcraft on Innovation Tools asking “What is ‘exnovation’ and where does it fit in the innovatin life cycle?” I found “exnovation” an intriguing term and an interesting concept. And then, as usual, I tried to think about how manufacturers could apply it to their product lifecycles to enhance product profitability.
What I learned this week … came from Bill Poston at Kalypso in his reply to a Business Week article titled “Innovation Interrupted – The Failed Promise of Innovation in the U.S.” Bill’s commentary really got me thinking about a really fundamental question. Do companies have too few product innovation ideas, or are we just not good at turning those ideas into profitable products? It also made me ask a separate question, “is this really a U.S. -centric issue or is this a global issue?”
I had a chance to talk with… Hardeep Gulati at Oracle about the recent Agile PLM 9.3 product release. Product analytics has been, and still is for the most part, a gap in the PLM market. So considering Oracle’s acquisitions of Hyperion and Agile in recent years, it’s not a surprise that the Oracle 9.3 PLM release is focused squarely on this area. The challenge is making this product intelligence consumable to each of the different roles along the value chain – engineering and design, manufacturing and supply chain, marketing and sales. Make the information easy to access and relevant, or you’ll have a nice analytics tool that no one uses. Oracle realizes this and has also focused the release on enhancing an already good (based on conversations over the past year with Agile users) user experience by adding “productivity tools” – for example drag and drop, inline editing, and more personalization. The company will focus their next release on leveraging their portal technology for a common user interface – a critical component of their strategy.