Big Data for the Masses

Can everyone be a data scientist?  You will at very least need the strong support of data scientists. Similar to delivering analytics to everyone.  Its not so much about the technology to extract data from large and volatile sources, but about automating basic analysis and guiding the user to insights.   Not too much different from efforts by Tableau to do the same thing.  But taking this beyond just visualization analytics.  Insights that are useful to their business. A startup at Stanford is trying to deliver this.   Following. " ... 'Through powerful analytic models developed over a decade at Stanford, Ayasdi lets you find the needle in a haystack you didn't know was there, quickly.” Jonathan Ballon, GE’s chief strategy officer, said in a statement. “For GE and our customers with vast amounts of industrial data, Ayasdi's technology will be a powerful tool for predictive analytic models that can drive billions of productivity and efficiency savings."  ... '