The Data Athlete
Mike Ferranti | May 19, 2015
Today, virtually all organizations have challenges in effectively leveraging analytics to drive business performance. Odds are pretty good that when you read that statement, you thought of at least one example in your organization. Perhaps you thought about the systemic contribution that analytics is making or a frustration you've had with analytics performance. If so, you're hardly alone.
May 13, 2015
You could do the hard work to acquire your own online buyer - and get a summed repurchase probability of about 24%.Or, you could beg Google for a customer ... paying Google for the current transaction and for nearly half of future transactions ... and you could acquire a customer that is less valuable (sounds good) with just a 19% summed repurchase rate.Or, you could be "strategic" and partner with Amazon. Pay Amazon. What happens?A summed 15% annual repurchase rate ... so you acquire a customer even less valuable, you pay Amazon for the right to enjoy this customer, and
Big Data, Small Data, Clean Data, Messy Data
Stephen H. Yu | May 05, 2015
In this series, I have been emphasizing the importance of statistical modeling in almost every article. While there are plenty of benefits of using statistical models in a more traditional sense (refer to "Why Model?"), in the days when "too much" data is the main challenge, I would dare to say that the most important function of statistical models is that they summarize complex data into simple-to-use "scores."