

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

Dec 6, 2016 • 54min
#051: The 1-Person Digital Analytics Team with Moe Kiss
Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. People, places, things, sites, and doodads mentioned in this episode were many, and they include: R, Tableau, Snowplow, adjust, Datalicious, Moe's post on Analysis of Competing Hypotheses, Moe's post on getting started in digital analytics, Jeffalytics.com, RSiteCatalyst, The Millenial Whoop, Kabaddi, Michael Yates, ABC (the Australian Broadcasting Corporation), an Event Tracking Naming Strategy from Chris Le, Simo Ahava, Nico Miceli, and Towards Universal Event Analytics - Building an Event Grammar by Snowplow co-founder Alex Dean.

Nov 22, 2016 • 47min
#050: Internal Analytics Organizational Structures
Step right up! Step right up! We've got your org charts here! If an analyst falls in the woods, and she reports into a hub-and-spoke model, is the result best illustrated with a 3D pie chart? Join Michael and Tim as they conclude that, at the end of the day, effective communication is imperative regardless of where the analysts sit organizationally. And, because, "Why not?" ride along on a digression about the product management of analytics platforms within the organization! Miscellany referenced in this episode include: 10 Tips to Maximize Your JavaScript Debugging Experience, The Comedians of Comedy, and Extras.

Nov 8, 2016 • 59min
#049: The Future of Tag Management
If you're in the U.S., happy election day! In the spirit of the mayhem and controversy that the political process brings, we're tackling a topic that is every bit as controversial: tag management. Does Adobe DTM gratuitously delete emails? Has GTM been perpetually unaware of when it is around a hot mic? What does Tealium have against coffee?! Is Signal broadcasting dog whistles to marketers about the glorious data they can collect and manage? What about Ensighten's sordid past where the CEO was spotted in public (at eMetrics) sporting a periwig? To discuss all of this (or...actual content), Josh West from Analytics Demystified joins us for a discussion that is depressingly civil and uncontentious. Many linkable things were referenced in this episode: Josh's Industry War starting blog post (from 2013), Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Signal, Tealium, Ensighten, Ghostery, Observepoint, Hub'scan, the Data Governance Episode of the Digital Analytics Power Hour (Episode #012), PhoneGap, Floodlight / Doubleclick / DFA, In the Year 2000 (Conan O'Brien), Bird Law, Adobe Experience Manager (AEM), Webtrends Streams, data management platforms (DMP), the Personalization Episode of the Digital Analytics Power Hour with Matt Gershoff (Episode #031), josh.analyticsdemystified.com, and Tagtician.

Oct 25, 2016 • 51min
#048: Social Media Analytics with Hayes Davis
You know what season it is? Well, in the United States, we're closing out a 4-year, never-ending cycle of electing a president. The tweets are getting tweeted and retweeted, the Facebook posts are getting posted and reacted to, and the video! Oh, the video! So, what better time to dive into social media ANALYTICS than today? Join Michael and Tim as they dive into this topic -- which they both love to hate -- with Hayes Davis, co-founder and CEO of Union Metrics. You might even want to Snapchat a filtered picture of yourself listening to it to someone! Miscellany mentioned in this episode include: Union Metrics, Great Lakes Brewery Christmas Ale, The Innovator's Dilemma, Oreo's Super Bowl Blackout tweet, WhatsApp, Scott Brinker on People vs. Data/Strategy/Technology, csvkit, SQLite, medium.com, and Is this my interface or yours?

Oct 11, 2016 • 54min
#047: Assessing Analytics Job Descriptions
Have you ever read an analytics job description? Have you found yourself wondering, "Is it just me, or is there something fishy going on here?" Who better to verbally cogitate this question writ large than a couple of guys who haven't actually applied for a job in a few years? Join Michael and Tim as they dive into the world of analytics job descriptions and chat about the red flags they find...and the various tangential thoughts that the exercise itself sparks. Resources mentioned in this episode include: the Digital Analytics Association, Google Tag Manager Updates: Workspaces and User Manager by Amanda Schroeder from LunaMetrics, Revamped User Interface in Google Tag Manager by Simo Ahava.

Sep 27, 2016 • 51min
#046: Measuring Podcasts at NPR with Steve Mulder
Do you listen to podcasts? Well, of course you do! Are you working in or involved with analytics? If you listen to this podcast, you almost certainly are! Where do those two interests intersect? On this episode! Steve Mulder, Senior Director of Audience Insights at National Public Radio (NPR), joins Michael and Tim to discuss podcast measurement...and audience measurement...and the evolution of analytics...and standards (well...guidelines)...and more! Tim fanboys out in a way that would be embarrassing if he was sufficiently self-aware to be embarrassed. In other words, it's a rollicking good romp through public media. Resources and the like mentioned in this episode are many and varied: The User Is Always Right, Podtrac, Public Broadcasting Podcast Measurement Guidelines (bit.ly/podcastguidelines), Comscore, DFP, Splunk, NPR One, Panoply Network, Gimlet Media, IAB, MediaShift: Bulgarian Analytics Startup Aims to Fix How Publishers Use Data, Smart Choices: A Practical Guide to Making Better Decisions, the NPR Politics Podcast, and Planet Money #669: A or B.

Sep 13, 2016 • 58min
#045: Identifying and Prioritizing Hypotheses
The intro bumper for this podcast says "the occasional guest," and, yet, the last five episodes have had guests. That's hardly "occasional," so Tim and Michael had a choice: either change the intro or do an episode on a topic for which both of them have experience, interest, and, hopefully, at least modest authority. In this show, the guys dig into hypotheses: how to identify and articulate them, the pitfalls involved in *not* clearly stating them, and where they see organizations and analysts get tripped up. They have a hypothesis that you will get some value out of the show, and, if they're right, that you will share the show with a colleague and maybe even give it a positive rating on iTunes. People, places, and things referenced in this episode: Helen Hunt, Twister, Mythbusters, assumption governance, the Science Vs. podcast, and the Invisibilia podcast.

Aug 30, 2016 • 57min
#044: Artificial Intelligence with Dennis Mortensen
The machines are coming! The machines are coming! Artifiicial Intelligence is here. But what is it, and how long will we have to wait for the technology to completely take over all analysis work? Dennis Mortensen -- founder of x.ai -- joins us on this episode for a deep dive into the topic. You will be surprised by how pragmatic and real AI seems as Dennis describes how he approaches it. And...then his last call will completely blow up the nice, cozy layer of downy comfort that you've settled into during the discussion. So it goes. Artificial intelligences and things referenced in this episode include: x.ai, Alexa, Siri, Cortana, Planet Money Episode #626, Wait But Why on The Fermi Paradox, and Rick and Morty.

Aug 16, 2016 • 55min
#043: Open Source Analytics with Simon Rumble
Somebody wants to overthink their analytics tools? Tell 'em their dreamin'! We wanted to talk about open source and event analytics and Snowplow sits right at that intersection. Our guest Simon Rumble is the co-founder of Snowflake Analytics and one of the longest users of Snowplow. We wrap up the show with all the places you can find Simon and Tim in the next few months. Fun fact: You will also learn in this episode that conversion funnels go down the opposite direction in Australia.

Aug 2, 2016 • 43min
#042: Data Storytelling with Brent Dykes
Once upon a time, in an industry near and dear, lived an analyst. And that analyst needed to present the results of her analysis to a big, scary, business user. This is not a tale for the faint of heart, dear listener. We're talking the Brothers Grimm before Disney got their sugar-tipped screenwriting pens on the stories! Actually, this isn't a fairy tale at all. It's a practical reality of the analyst's role: effectively communicating the results of our work out to the business. Join Michael and Tim and special guest, Storytelling Maven Brent Dykes, as they look for a happy ending to The Tale of the Analyst with Data to Be Conveyed. Tangential tales referenced in this episode include: Web Analytics Action Hero, Brent Dykes Articles on Forbes.com, The Wizard of Oz, Made to Stick, Data Storytelling: The Essential Data Science Skill Everyone Needs, The Story of Maths, and mockaroo.com.


