The Analytics Power Hour
Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.
Episodes
Mentioned books
Sep 12, 2017 • 58min
#071: Reinforcement Learning with Matt Gershoff
Let's pretend your goal as an analyst is to eloquently and accurately explain reinforcement learning. Now, let's pretend that you get to try that explanation again and again, and we'll give you an electric shock every time you state something inaccurately and a cookie every time you say something right. Well, you're an analyst, so you're now wondering if this is some clever play on words about cookies. As it happened, we didn't give Matt Gershoff from Conductrics any cookies of any kind in his return to the show. Instead, we gave him a lifetime's supply of opportunities to say, "Well, no, it's not really like that," which is a special kind of nourishment for the exceptionally smart and patient! In other words, the gang walked through a range of analogies and examples about machine learning, reinforcement learning, and AI with Matt, and no electric sheep were harmed in the process. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Aug 29, 2017 • 1h 1min
#70: The Case for Customer Lifetime Value with Dr. Peter Fader
Dr. Peter Fader, an expert in customer lifetime value, discusses the importance of prioritizing CLV in marketing strategies. They explore the shift towards customer centricity, choosing the right customers, and the value of customer behavior over demographics. The chapter also highlights the intersection of customer centricity and service design, the validity of CLV, and ends with interesting recommendations for listeners.
Aug 15, 2017 • 55min
#069: The Bias of the Analyst
Are you biased? Either you answered, "Yes," or you're in denial. Or you're an AI, in which case you should just go and start your own podcast instead of listening to this one. UNLESS your prediction algorithms told you that this would be the episode where we would finally announce the addition of a third co-host, and you need to collect that data point (and, damn, you're good, BTW). On this episode, though, our THREE (count 'em!) co-hosts dive into different types of biases that analysts (should) grapple with, how they spot them, and what they do to take advantage of them (or mitigate them, as appropriate). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Aug 1, 2017 • 49min
#068 - Engaging with Your Local Analytics Community
The conceit of this podcast is having real analysts hang out with each other -- enjoying each other's company and talking a little shop. But, for you, dear listener, that hanging out is occurring through your earbuds. What does it take to hang out IRL with other analysts? Guest host Moe Kiss from THE ICONIC joins the guys this week to chat about Web Analytics Wednesdays, MeasureBowling, MeasureCamp, and what it takes to get those local, in-person relationships rolling successfully. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Jul 18, 2017 • 52min
#067 - R You Considering Python? (With Ryan Praskievicz)
WHY does Tim simply not give Python its due? Isn't Python a perfectly acceptable -- possibly even better -- option when it comes to diving into programming with data? It's open source, too. Some say it's easier to learn than R. And, frankly, isn't a programming language named after a snake just inherently cooler than one named after a letter of the alphabet? The fellas tackled the topic with Ryan Praskieviecz from EY on this episode...and possibly wound up tackling it in a way that will leave Python lovers that much more ready to strangle them (as pythons are wont to do). For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Jul 4, 2017 • 48min
#066: The Democratization of the Data
It's another one of those on-going lobby bar topics: how much of the data should be made available to whom and in what form? Should all of an organization's data be completely and freely available to everyone in the company, or is that a recipe for messy data being misinterpreted and misused? That's the topic tackled on this show, courtesy of a recommendation from Pawel Kapuscinski. As it happens, it's also Independence Day in the U.S. -- a fact with which the guys had a little fun. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Jun 20, 2017 • 55min
#065 - Digital Analytics from a Psychological Perspective with Dr. Liraz Margalit
We can watch (sort of) what users do on our sites. That's web analytics. We can ask them how they felt about the experience. That's voice of the customer. But, can we (and should we?) actually analyze their emotional reactions? On this episode, Michael and Tim sat down with Dr. Liraz Margalit, Head of Digital Behavioral Research at Clicktale, to bend their brains a bit around that very topic. And, they left the discussion thinking differently about conversion rates, and even realizing that scroll tracking might just have a valuable application! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Jun 6, 2017 • 58min
#064: Analog (In-Store) Analytics with Gary Angel
Back in the day, we explained the difference between a visitor, a visit, and a pageview to stakeholders using an analogy of a person walking into a physical store. Now, digital channels are dominating, and physical stores are struggling...which is an opportunity to apply what we've learned about behavioral analysis on the web to in-(REAL)-store consumer behavior. Gary Angel from Digital Mortar (@digitalmortar) returned to the show (our first ever repeat guest!) to walk us through the many, many similarities, as well as to explain some of the unique challenges and opportunities of in-store analytics. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
May 23, 2017 • 40min
#063: The Trials and Tribulations of Tool Transitions
Change. It's scary. It's exhilarating. It's a song by Churchill. Sometimes, be it due to your manager, due to a corporate acquisition, or due to a job change, you just wind up with a voice in your head belting out, "You want me to change, change, change!" In this episode, Nancy Koons from Team Demystified joins us to dive into our collective histories when it comes to switching analytics tools -- where we stumbled, where we succeeded, and how we've come to approach the ever shifting landscape of analytics tools. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
May 9, 2017 • 49min
#062: When and Where Does the Role of the Analyst End?
It seems like a simple couple of questions: 1) When and where does the analyst's role start?, and 2) When and where does the analyst's role end? And, do the answers to either of these questions change based on the type of organization you're in (in-house versus agency)? As it turns out, Michael and Tim largely agree on the answers to these questions…but their agreement is pretty expansive, so this could be the episode that infuriates you, dear listener! Give it a listen, and be prepared to shake your fist at your earbuds! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
