How an SXSW Big Data panel question finds its answer in a book about food and human biology. Continue reading »
In my last post, I covered Badgeville’s five key analytics principles: Keep things simple Store as much raw data as possible Don’t separate analytics into internal and client facing Stay flexible, learn and adjust as you go Never build black … Continue reading »
Following up to my earlier post introducing the basic concepts of analytics (Analytics 101), I want to share with you how the Badgeville team views quantifying and measuring the health of your online experiences. Badgeville’s fundamental analytics principles are: Keep … Continue reading »
In this first post from Tim Piatenko, who heads up our analytics team, he offers his take on the complicated concept of analytics and provides an overview of Badgeville’s behavior-based approach. Tim has an extensive background in big data analytics … Continue reading »
