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One of the biggest barriers to getting value from data--especially data from different sources like you're referring to--is the integration piece. Finding the linkages in the data, normalizing it so that it's based on common basics (timeframes/entities/etc), and then determining which data sources is the most accurate for each piece of information. Without this layer it's almost impossible to get value out of it to pass to the next layer (visualization, statistical analysis, etc).
At Applied Data Labs (www.applieddatalabs.com) we're approaching data from the standpoint that as you add more data sets together and use them to enrich one another you'll get insights from angles that you never considered. It's all about solving the "we don't know which question to ask" problem on top of the data sources you're talking about here.
1 year, 1 month ago on Content Silos and the Distribution of Personal Business Intelligence
You sound like you own some Facebook stock :)
But wouldn't it be interesting if Zuckerburg's path ended up mirroring Steve Jobs?
1 year, 7 months ago on Facebook Doesn’t Need a New CEO, Reuters Needs a New Technology Writer