With the proliferation of data mining analysis due to scanner data with tens of thousands of records, online surveys that garner thousands of respondents, and other ways to capture very large samples, there is a very real danger of finding a great deal of statistical significance that is not meaningful. Even if differences are statistically significant and meaningful, they do not necessarily need to be stable.

A. True
B. False

Big data analyzes huge amounts of information, more than any person could possibly handle by themselves, but that doesn't mean that all the processed information is useful. On the other hand, information that can be useful for one company may not be useful to another company.

The amount of processed information is not important, what is important are the insights that a company can obtain that will help them make better strategic decisions.