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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.

The Digital Analytics Power Hour Michael Helbling, Tim Wilson, and Moe Kiss

    • Marketing

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.

    #134: These Are a Few of Our Favorite (Analytics) Tips

    #134: These Are a Few of Our Favorite (Analytics) Tips

    "QA and patience and reviews by a peer. Data viz testing, hold no chart too dear. Don’t be an asshole; automate 'til it stings. These are a few of our favorite things!" With apologies to Julie Andrews, on this episode, Moe, Tim, and Michael shared some of the tactical tips and techniques that they have found themselves putting to use on a regular basis in their analytics work. The resulting show: multiple tips, minimal disagreements, and moderate laughter. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 55 Min.
    #133: Server-Side vs. Client-Side Tracking with Mike Robins

    #133: Server-Side vs. Client-Side Tracking with Mike Robins

    Once upon a time, website behavioral data was extracted from the log files of web servers. That data was messy to work with and missing some information that analysts really wanted. This was the OG "server-side" data collection. Then, the JavaScript page tag arrived on the scene, and the data became richer and cleaner and easier to implement. That data was collected by tags firing in the user's browser (which was called "client-side" data collection). But then ad blockers and browser quirks and cross-device behavior turned out to introduce pockets of unreliability into THAT data. And now here we are. What was old is now somewhat new again, and there is a lot to be unpacked with the ins and outs and tradeoffs of client-side vs. server-side data collection. On this episode, Mike Robins from Poplin Data joined the gang to explore the topic from various angles. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 48 Min.
    #132: Reporting vs. Analysis

    #132: Reporting vs. Analysis

    Who would have thought that we'd get to 2020 and still be debating whether recurring reports should include "insights?" As it turns out, Tim did an ad hoc analysis back in 2015 where he predicted exactly that! Unfortunately, the evidence is buried in the outbox of his email account at a previous employer. So, instead, we've opted to just tackle the topic head-on: what is a report, anyway? What are the different types of reports? What should they include? What should they leave out? And where does "analysis" fall in all of this? We have so many opinions on the subject that we didn't even bring on a guest for this episode! So, pop in your earbuds, pull out your notebook, and start taking notes, as we'll expect a *report* on what you think of the show once you're done giving it a listen! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 57 Min.
    #131: 2019 Year in Review

    #131: 2019 Year in Review

    It's the end of the year, and we know it, and we feel fiiiiine. Or, maybe we have a little anxiety. But, for the fifth year in a row, we're wrapping up the year with a reflective episode: reflecting on changes in the analytics industry, the evolution of the podcast, and the interpersonal dynamics between Tim and Michael. From the state of diversity in the industry (and on the show), to the trends in analytics staffing and careers, to the growing impact of ethical and privacy considerations on the role of the analyst, it's an episode chock full of agreement, acrimony, and angst. And, it's an episode with a special “guest;” it's the first time that producer Josh Crowhurst is on mic doing something besides simply keeping our advertisers happy! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 1 Std. 8 Min.
    #130: Data Stories with Nancy Duarte

    #130: Data Stories with Nancy Duarte

    Once upon a time, there was an analyst. And that analyst had some data. She used that data to do some analysis, and from that analysis she realized she had some recommendations she could make to her organization. This was the point where our intrepid analyst reached a metaphorical fork in Communication Road: would she hastily put all of her thoughts together quickly in a slide deck with charts and graphs and bullets, or would she pause, step back, and craft a true data story? Well, if she listened to this episode of the podcast with presentation legend Nancy Duarte, author of five award-winning books (the most recent one — DataStory: Explain Data and Inspire Action Through Story — being the main focus of this episode) she would do the latter, and her story would have a happy ending indeed! For complete show notes, including links to items mentioned in the episode and a transcript of the show, visit the show page.

    • 58 Min.
    #129: Data Accuracy and Completeness with Yali Sassoon

    #129: Data Accuracy and Completeness with Yali Sassoon

    How accurate is your data? How accurate is any of our data? If our data is more accurate, will we make better decisions? How MUCH better? Why do the show blurbs of late have so many questions? THAT is a question we can ACCURATELY answer: because the shows grapple with challenging questions! On this episode, Snowplow co-founder Yali Sassoon joined us to chat about the nuts and bolts of data accuracy: the inherent messiness of client-side tracking (but, also, the limitations of server-side tracking), strategies of incrementally improving data accuracy (and the costs therein), and the different types of scenarios where different aspects of data accuracy matter in different ways! Pour yourself a drink (a 2 oz. shot of a fine Scotch will do... which would be 59.1471 ml if you want an accurate and precise metric pour), settle in, and give it a listen! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 55 Min.

Kundenrezensionen

OlliWeber ,

Awesome Podcast for anyone dealing with digital analytics

I really like this podcast for dealing with so many different aspects from the field of digital analytics. It provided me as someone who just started working as a digital analyst with so many valueable insights! Keep going guys! Kudos to you from Germany for this Podcast!

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