Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

As all industries become more data oriented and analytical, it is incumbent upon senior executives to master some degree of analytical complexity. Otherwise, they’re not going to be able to push back when some trader suggests that they take on inordinate and poorly understood risk, or when a marketer suggests a predictive model that employs too muc

human mathematicians have found many patterns in the application of pi—which is the new role for human creativity in analytical thinking. For example, in a story told by mathematician David Acheson:

Data analysis consists of finding consistent patterns, or the relationships among the variables.

methods. In many cases, after that the organization will analyze the data with traditional statistical software.

the prior reports showing upticks and downticks didn’t use a methodology that was linked to her business question;

100 Common Senses in Statistics and Freak Statistics, that are designed to help the nonstatistician understand and be more “literate” with statistical information.

Georg Hegel, the German philosopher, felt that only the person who thinks highly analytically can have pure and true intuition.11

The definition of a data scientist is someone who is an expert not only at analyzing data, but at getting it in shape to analyze.

When you immerse yourself in strenuous endeavor, without surrender, you will one day, at an unforeseen moment, run into a eureka insight. That’s exactly what happened to Archimedes, Newton, and many other geniuses.