The oldest and largest marketing data aggregator, Acxiom, recently opened up its database to let individuals see and edit the data that the company has collected about them. Data scientists and marketers have been viewing the data and, often, chuckling at its inaccuracy.
In this volume, we discuss Data Mining and The Birthday Paradox.
‘Tis the season that many retailers look to tactics and strategies to programmatically maximize their e-commerce conversion, and customer value pre-peak. These new innovations are critical for success, but always include a bit of risk. Are there any “tried-and-true” approaches we can confidently implement pre-peak with 100% certainty?
Big Data has become the subject of Big Hype, much as Social Media and Mobile were recently. Our goal today is to peel back the hype and discover some of the key principles behind Big Data so we can make the best possible decisions about when, where, and how to apply it.
In my first blog post I introduced the general framework of Bayesian $$A/B$$ testing, and went into gory details on how to make it happen with binary data: 0, 1, 0, 1, 0, 0, 0…
Chief Data Scientist, Obama for America