Sure I like your theory guys, but I want to hear some stories from the trenches! Episode 11 is all about the anecdotes, with the guys sharing stories about work they've done as analysts that had the most impact. Whether from hard work or a moment of inspiration, big wins with analysis are sometimes few and far between Hear some great examples from Michael, Tim and Jim's personal experiences. What has 6 legs, three microphones and will make you a better analyst in 42 minutes? It's the Digital Analytics Power Hour.

Building your chops as an analyst is hard enough. Building an analyst team is even harder. In this episode, the three amigos of measurment share best practices in HR, Training, Management and Planning to help you in growing your own team. This episode will take 5 hours you say? Nope, we got it done in 40ish minutes.

Fifteen years ago, digital analytics tooling was pretty straightforward (something that looks at log files). In 2015, there are literally hundreds of tools that can be used to measure every aspect of a digital sales and marketing ecosystem. Most companies still think “Google or Adobe?” when making a digital analytics tool purchase. Are they missing out? With very special guest Hiten Shah from KISSmetrics, Michael, Tim and Jim talk a little tooling and a lot of trash - in almost 60 minutes.

To win at digital measurement in 2015, you need more data capture tools than just your web analytics tool of record. In episode 3, the 3 musketeers of measurement try to outline what they feel the core tools are that any digital analyst should be familiar with and thinking about. What do you need to have? What should you want to have? What should you be careful about? Get ready to have the hype separated from the important, and done so efficiently it will make an hour feel like 43 minutes.

In this inaugural episode of the Digital Analytics Power Hour, Michael, Jim, and Tim discuss how a digital analyst working today can become better at what he or she does. Tending bar? Cold calling the CFO? The guys share their own origin stories -- what drew them to web analytics, as well as what made them stay -- and tell a few tales of what worked for them as they evolved their own careers.