Data Science

Data Science is the mix of computer science, user experience, and statistics. The aim of data science should be: to make things better by influencing people and things to make better decisions, by making people and things more aware of … Continued

How consumers use mobile for shopping

How consumers are using mobile to shop IRL (In Real Life) is of paramount interest now that mobile has finally arrived. A few figures to run through. The first, below, describes what consumers report they want from mobile phone applications, … Continued

Data and Usability

Not all data is usable on its own. The vast majority of it isn’t in its raw form. Its coal. It has potential. But on its own, it has limited uses. Algorithms are the modern day equivalent to machinery. Fire … Continued

Insight Revisited

I wrote a definition of ‘Insight’ on December 29, 2010 that read: “An insight is: New information Executable Causes action Profitable Or, more detailed, an insight is: A piece of information that you didn’t know before, which – Can feasibly … Continued

eMetrics New York 2011

I’ll be at eMetrics next week. I hope you will be too. It’ll be great to be back in New York. There are a few people that I’m looking forward to seeing: John Lovett on social media, Melinda Driscoll on … Continued

The Most Measured Era in History

We’re living in the most measured era in history. Are you the beneficiary of any of the data you’re generating? You optimize what you measure. One of the most data intensive self-improvement projects I undertook was in 2005. I recorded … Continued

The fight for the Data Science Soul Begins

This is a pretty good summary of the definition of data science. Some statisticians seem to be incensed. Some people say that this whole thing is invented as an O’Reilly buzzword. And there’s consternation, fear probably, over the devaluation of … Continued