The Analytics Power Hour

Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
undefined
Nov 21, 2017 • 56min

#076: Insights, Please. Actionable Ones!

When you find a true insight, it can make your head spin. But, will your head spin in a different direction if the insight is found in Australia than if it is found in the United States? On this episode, Rod Jacka from Panalysis joins the crew for a balanced discussion (northern AND southern hemispheres) about how the phrase "actionable insights" should turn the stomach of any right-thinking analyst. More importantly, the gang discusses the need for clarity around insights -- both definitionally and expectations-wise -- and share their favorite techniques for getting that clarity. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
undefined
Nov 7, 2017 • 48min

#075: Corralling the Cross-Device Visitor

It's a challenge as old as the smartphone (or...technically... a little bit older): we want to track and know people, but, when they're visiting us from their phone, their tablet, their work laptop, and their home desktop, we often really just know cookies and device IDs! Countless vendors tout their enabling technology...but then admit that, yes, you do have to get your customers to authenticate on all devices to provide a common key, which isn't always easy (or even remotely reasonable). Unless you're up for diving into the deep and murky waters of probabilistic linking. On this episode, Tablet Tim -- the only one of the co-hosts who is an avid tablet user -- argues that the whole topic should be pretty "meh" for many companies, while Mobile Moe smacks him down and shares her experiences (the challenges...and the wins that made them worth it!) with linking users across mobile apps, a mobile site, and a desktop site. For complete show notes, visit the show page.
undefined
Oct 24, 2017 • 1h 5min

#074: The Google Cloud Platform with Mark Edmondson

You're listening to this podcast, so you're, obviously, well-attuned to the cutting edge of all things digital. But, in this episode, we're going to discuss a couple (or countless) products/platforms (PaaS — Platforms as a Service! Who knew that was a thing?!) from a little upstart company based in California. Google wouldn't actually return our calls (okay…we didn't call them), so we went with an Even Better Option: Mark Edmondson — Data Insight Developer at IIH Nordic, Google Developer Expert, author of so many R packages he had to write a package just to count them, delightfully accented Brit who now calls Denmark home, and a guy who tried to solve Twitter political discussions through text mining (not kidding — it's discussed in this episode) — joined the gang to do their First Ever three-continent simulcast. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
undefined
Oct 10, 2017 • 1h 3min

#073: When the Analyst Goes Independent with Adam Ribaudo

Adam Ribaudo, Founder of Noise to Signal, shares his journey from agency life to independent consulting in analytics and marketing technology. He discusses the benefits and challenges of freelancing, including the importance of networking and genuine relationships. Adam emphasizes the need for self-awareness and accountability in managing client relationships without a boss. He also touches on valuable lessons learned from his transition and insights into balancing client work with business development.
undefined
Sep 26, 2017 • 53min

#072: The Future Digital Analyst Redux with Corry Prohens

Have you learned R yet? No? Well, then Tim is disappointed in you. Or, maybe that's totally okay! Way back on episode #035, we asked the question if data science was the future of digital analytics. We concluded...maybe...for some. On this episode, we dive deeper into what the career options are for digital analysts with longtime digital analytics industry recruiting and staffing maven Corry Prohens, founder and CEO of IQ Workforce. The good news? There are lots of options (if you find your passion and follow it)! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
undefined
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.
undefined
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.
undefined
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.
undefined
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.
undefined
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.

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app