Web log data contains a wealth of information about online visitors. We have a record of each and every customer interaction for the millions of visitors coming through each month at uSwitch.com. The challenge is to analyse this discrete time series, semi-structured dataset to understand the behaviour of our visitors on a personal level. This talk is a case study of how our data team of three leveraged heterogeneous architecture and agile methodologies to tackle this problem. And we had three months.