Herbert Hoover aimed to win the U.S. presidency in 1928 by promising prosperity with slogans such as “a chicken in every pot and a car in every garage.” One wonders why houses had garages before cars were ubiquitous, of course. More seriously, one also wonders about the plausibility of getting a chicken into every pot [...]
Posted on February 27, 2012, 7:45 am, by Neil McGovern, Director of Marketing, under
Big Data.
Capital markets firms are increasing motivated to mine more and more data. So a question about the spread of data caught my attention a couple of weeks ago: Would different groups within an organization collecting as much data as they could for data mining result in multiple copies of data? I had just presented at [...]
“North Korea’s biggest leader Kim Jung Un, this morning in Beijing time 2:45 a.m., had his residence broken into and was assassinated,” a social media message from China stated last week. “Vehicles are rapidly increasing in number … this sort of battle formation hasn’t been seen in over two years.” This rumor, and at least [...]
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Posted on February 13, 2012, 6:30 am, by Derek Klobucher, Financial Services Editor, under
Market Trends,
Regulation.
The why of improving bank stress testing is easy. It would improve industry confidence and regulatory compliance. It would also set straight a bunch of Europe’s biggest banks — the ones that failed revised stress testing conducted by Credit Suisse last year. Tougher and equally compelling is the how. The European banking industry is up [...]
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Big Data is technology’s hype phrase du jour, bandied incessantly about by analysts and the media. Every vendor seems to have a Big Data product, position or solution. But what does it mean in capital markets? It might mean we get to be a bit smug. We have been the leaders in Big Data for [...]
There’s nothing revolutionary about gauging consumer opinion, except when you use social media to help. Incorporating properly distilled data from the likes of Twitter and LinkedIn offers investors access to an exponentially broader slice of the population. Imagine going from a survey of hundreds or thousands of people to analyzing data volunteered by millions. It’s [...]
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