257 episodes

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 Analytics Power Hour Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer

    • Business
    • 4.7 • 155 Ratings

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.

    #247: Professional Development, Analytically Speaking with Helen Crossley

    #247: Professional Development, Analytically Speaking with Helen Crossley

    Professional development is a big topic—way more than just thinking about what job you want in five years and setting milestones along the way. Thankfully we had Helen Crossley, Senior Director of Marketing Science at Meta, join Michael, Moe, and Val to dive deep into this topic! We explored how to set really good, meaningful goals, the challenges across each stage from junior analyst to leader, and how to give great feedback. We also spent quite a bit of time discussing the new challenges that becoming a first-time manager presents and, hopefully, some helpful tips and thought exercises to help out our listeners who are or are about to be faced with this challenge. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 1 hr 2 min
    #246: I've Got 99 Analytical Methodologies and Need to Pick Just One

    #246: I've Got 99 Analytical Methodologies and Need to Pick Just One

    From running a controlled experiment to running a linear regression. From eyeballing a line chart to calculating the correlation of first differences. From performing a cluster analysis because that’s what the business partner asked for to gently probing for details on the underlying business question before agreeing to an approach. There are countless analytical methodologies available to the analyst, but which one is best for any given situation? Simon Jackson from Hypergrowth Data joined Moe, Julie, and Tim on the latest episode to try to get some clarity on the topic. We haven’t figured out which methodology to use to analyze whether we succeeded, so you’ll just have to listen and judge for yourself. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 55 min
    #245: Dear APH-y - An Analytics Advice Call-In Show

    #245: Dear APH-y - An Analytics Advice Call-In Show

    You know you’ve arrived as a broadcast presence when you open up the phone lines and get your first, "Long time listener, first time caller" person dialing in. Apparently, we have not yet arrived, because no one opened with that when they sent in their questions for this show. Our question is: why not?! Alas! That is a question not answered on this episode. Instead, we got the whole crew together and fielded questions from listeners that were actually worth attempting to answer, and we had a blast doing it! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 1 hr
    #244: Data Is Everywhere. Why Do We Limit Ourselves by Default?

    #244: Data Is Everywhere. Why Do We Limit Ourselves by Default?

    In order to produce a stellar analysis, have you ever requested a team to teardown a Tesla and count every last washer and battery cell? No? Well our guest this week, Jason DeRise, joined Tim, Julie, and Val to share that story and others on how alternative data can be used to enrich analyses. Luckily you don’t have to have a Wall Street-sized budget in order to tap into the power of alternative data. Looking just outside your tried and true data sets and methodologies to see how you might be able to add to your mosaic of understanding a business question can be powerful! In this episode we talk about some of the considerations and approaches when you put down that hammer and see the world around you is more than just a bunch of nails. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
     

    • 1 hr 1 min
    #243: Being Data-Driven: a Statistical Process Control Perspective with Cedric Chin

    #243: Being Data-Driven: a Statistical Process Control Perspective with Cedric Chin

    It happens occasionally. Someone in the business decides they need to just take the analysis into their own hands. That leaves the analyst conflicted — love the interest and enthusiasm, but cringe at the risk of misuse or misinterpretation. Occasionally (rarely!), though, such a person goes so deep that they come out the other side having internalized everything from Deming's obsession with variability all the way through the Amazon Weekly Business Review (WBR) process. And they've written extensively about it. Cedric Chin was such a person, and we had a blast digging into his exploration of statistical process control — including XmR charts — and mulling over the broader ramifications and lessons therein. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 1 hr 14 min
    #242: The Rise and Fall of Data Communities with Pedram Navid

    #242: The Rise and Fall of Data Communities with Pedram Navid

    Data communities have played a major role in the careers of many analysts, but times they are a-changin'. We're not sure if we're different, if the communities' purposes and missions have shifted, or both. One thing we are confident in, though, is that Pedram Navid was absolutely the right guest to invite on to the show to explore the topic alongside Michael, Moe, and Val. His blog post last year that discussed how "this used to be fun" was a great reflection on some of the environmental trends influencing the communities we've come to know and love. But don't worry, it’s not all doom and gloom! The crew all agreed that there are still places and ways for data practitioners to connect and support each other, even if it doesn't look identical to the early aughts. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

    • 58 min

Customer Reviews

4.7 out of 5
155 Ratings

155 Ratings

SierraSea ,

A Beacon for Data Analysts

I stumbled upon this podcast during a particularly challenging project, and it’s been a game-changer. The insights shared by the hosts and guests are not just informative but also incredibly inspiring. As a data analyst, the journey can sometimes feel solitary, but this podcast has created a vibrant community where I feel connected and supported.

One thing that isn’t talked about enough in analytics is how much courage it takes to be fearless in not knowing the answer, solving problems in new ways, or learning your 80 millionth reporting tool or programming language. Bravo to this team for being real and courageous enough to talk about this. The hosts have a knack for breaking down complex topics and adding a dash of humor, making them even more relatable and engaging.

Pro tip: don’t skip the show notes! They’re absolute gold, packed with links and transcripts that enhance the listening experience. It’s more than just a podcast; it’s a beacon for anyone in the data analysis field seeking knowledge, inspiration, and a sense of belonging. Highly recommended!

Pauli♥️ ,

APH <- Helpful + Hilarious

I appreciate the candid conversation around data teams and projects. Always helpful perspectives, always a good laugh, and the expletives are crucial. Plus, they’ll send you free stickers if you request them!

N/A217 ,

Entertaining and super useful!

Love, love LOVE this podcast! Very entertaining, educational and insightful and presented in a real talk, real world way.

Top Podcasts In Business

REAL AF with Andy Frisella
Andy Frisella #100to0
Money Rehab with Nicole Lapin
Money News Network
The Ramsey Show
Ramsey Network
Habits and Hustle
Jen Cohen and Habit Nest
Young and Profiting with Hala Taha
Hala Taha | YAP Media Network
The Money Mondays
Dan Fleyshman

You Might Also Like

DataFramed
DataCamp
Data Skeptic
Kyle Polich
Data Engineering Podcast
Tobias Macey
Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
Practical AI: Machine Learning, Data Science
Changelog Media