Post by: Russell Perkins, ICG
Russell Perkins, ICG
Big Data is both incredibly powerful and uncannily accurate, in large part because of the massive sample sizes involved. The ability to powerfully analyze massive data sets will be beneficial to all of us, in many different ways. But to suggest that Big Data correlations can largely supplant causation research plays into the Big Data hype by suggesting it is a pat, “plug and play” solution to all problems. Big Data can very usefully shape and define causal research, but there are numerous situations where it can’t simply replace it.
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Learn more about Data and Content through the following activities and upcoming events:
- Private Company & People Data- What’s New & What’s Working– April 24
- Profiting from Public Domain Data– June 11
- Content Crossroads: Product Opportunities with Big Data and Semantics– September 5
- Models for Exellence: Here are the Best Data Products of the Year!– September 12
- DataContent 2013 – October 15-17
