What I learned this week … came from a post on Socialwrite.com titled The Attention Question in Social Business. I have struggled over this one for the past several days because the post puts forward a compelling and brilliant observation – but I can’t quite grasp the analogy when applied to my world – social computing in PLM. I woke up this morning with a clear thought in my head on it (look up “get a life” on Wikipedia, see my picture) and decided it was time to share my thoughts. So here they are.
What I Learned
Virtual Fashion Shows via PLM
What I learned this week … came from an article on Yahoo! Tech News titled Technology in starring role at NY Fashion Week. The article really made me think about how virtual worlds, social computing, and PLM could transform fashion shows.
People Tagging in Product Development
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).
Idea Management as a Software Ecosystem
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.
Mining Social Network Emotions and Opinions for Product Development
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.
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