Best Mobileanalytics Podcasts (2025)

1
#270: AI and the Analyst. We've Got It All Figured Out. 1:01:10

17h ago1:01:10

1:01:10

We finally did it: devoted an entire episode to AI. And, of course, by devoting an episode entirely to AI, we mean we just had GPT-4o generate a script for the entire show, and we just each read our parts. It's pretty impressive how the result still sounds so natural and human and spontaneous. It picked up on Tim's tendency to get hot and bothered,…

1
#269: The Ins and Outs of Outliers with Brett Kennedy 1:08:19

16d ago1:08:19

1:08:19

How is an outlier in the data like obscenity? A case could be made that they're both the sort of thing where we know it when we see it, but that can be awfully tricky to perfectly define and detect. Visualize many data sets, and some of the data points are obvious outliers, but just as many (or more) fall in a gray area—especially if they're sneaky…

1
#268: You Get an Insight! And YOU Get an Insight! with Chris Kocek 1:07:14

30d ago1:07:14

1:07:14

Do you cringe at the mere mention of the word, "insights"? What about its fancier cousin, "actionable insights"? We do, too. As a matter of fact, on this episode, we discovered that Moe has developed an uncontrollable reflex: any time she utters the word, her hands shoot up uncontrolled to form air quotes. Alas! Our podcast is an audio medium! What…

1
#267: Regression? It Can be Extraordinary! (OLS FTW. IYKYK.) with Chelsea Parlett-Pelleriti 1:01:11

1M ago1:01:11

1:01:11

Why? Or… y? What is y? Why, it's mx + b! It's the formula for a line, which is just a hop, a skip, and an error term away from the formula for a linear regression! On the one hand, it couldn't be simpler. On the other hand, it's a broad and deep topic. You've got your parameters, your feature engineering, your regularization, the risks of flawed as…

1
#266: AI Projects: From Obstacles to Opportunities 58:59

2M ago58:59

58:59

In celebration of International Women’s Day, this episode of Analytics Power Hour features an all-female crew discussing the challenges and opportunities in AI projects. Moe Kiss, Julie Hoyer and Val Kroll, dive into this AI topic with guest expert, Kathleen Walch, who co-developed the CPMAI methodology and the seven patterns of AI (super helpful f…

1
#265: Connected Wellness in the Age of AI with Michael Tiffany 55:03

2M ago55:03

55:03

Every listener of this show is keenly aware that they are enabling the collection of various forms of hyper-specific data. Smartphones are movement and light biometric data collection machines. Many of us augment this data with a smartwatch, a smart ring, or both. A connected scale? Sure! Maybe even a continuous glucose monitor (CGM)! But… why? And…

1
#264: When the Analyst’s Toolbox Includes Assessing the Zeitgeist with Erika Olson 1:08:15

3M ago1:08:15

1:08:15

We all know that data doesn't speak for itself, but what happens when multiple instruments of measurement contain flaws or gaps that impede our ability to measure what matters on their own? Turning to our intuition and triangulation of what's happening in the broader macro sense can often help explain our understanding of our customers' ever-changi…

1
#263: Analytics the Right Way 1:06:18

3M ago1:06:18

1:06:18

Every so often, one of the co-hosts of this podcast co-authors a book. And by “every so often” we mean “it’s happened once so far.” Tim, along with (multi-)past guest Dr. Joe Sutherland, just published Analytics the Right Way: A Business Leader's Guide to Putting Data to Productive Use, and we got to sit them down for a chat about it! From misconce…

1
(Bonus) 2024 Listener Survey...Wrapped! 22:46

4M ago22:46

22:46

The start of a new year is a great time for reflection as well as planning for the year ahead. Join us for this special bonus episode where we talk through some of our favorite learnings and takeaways from our 2024 listener survey and some of the ways we’ve already been able to put that feedback into practice! We also have some freebies and helpful…

1
#262: 2025 Will Be the Year of... with Barr Moses 1:08:09

4M ago1:08:09

1:08:09

Every year kicks off with an air of expectation. How much of our Professional Life in 2025 is going to look a lot like 2024? How much will look different, but we have a pretty good idea of what the difference will be? What will surprise us entirely—the unknown unknowns? By definition, that last one is unknowable. But we thought it would be fun to s…

1
#261: 2024 Year in Review 1:03:33

4M ago1:03:33

1:03:33

Ten years ago, on a cold dark night, a podcast was started, 'neath the pale moonlight. There were few there to see (or listen), but they all agreed that the show that was started looked a lot like we. And here we are a decade later with a diverse group of backgrounds, perspectives, and musical tastes (see the lyrics for "Long Black Veil" if you mis…

1
#260: Once Upon a Data Story with Duncan Clark 1:00:08

5M ago1:00:08

1:00:08

Data storytelling is a perpetually hot topic in analytics and data science. It's easy to say, and it feels pretty easy to understand, but it's quite difficult to consistently do well. As our guest, Duncan Clark, co-founder and CEO of Flourish and Head of Europe for Canva, described it, there's a difference between "communicating" and "understanding…

1
#259: Dateline Data 1:01:30

5M ago1:01:30

1:01:30

There's data, data everywhere, including in the media! Data often gets collected, analyzed, published in a study, covered by a journalist, and then distilled down to a headline. The opportunities for lost-in-translation (or lost-in-simplification? Lost-in-summarization?) misfires are many. We tried an experiment—each of the available co-hosts broug…

1
#258: Goals, KPIs, and Targets, Oh My! with Tim Wilson 1:05:52

6M ago1:05:52

1:05:52

KPIs? Really? It’s 2024. Can’t we just ask Claude to generate those for us? We say… no. There are lots and lots of things that AI can take on or streamline, but getting meaningful, outcome-oriented alignment within a set of business partners as they plan a campaign, project, or initiative isn’t one of them! Or, at least, we’re pretty sure that’s wh…

1
#257: Analyst Use Cases for Generative AI 1:05:35

6M ago1:05:35

1:05:35

udging by the number of inbound pitches we get from PR firms, AI is absolutely going to replace most of the work of the analyst some time in the next few weeks. It’s just a matter of time until some startup gets enough market traction to make that happen (business tip: niche podcasts are likely not a productive path to market dominance, no matter w…

1
#256: Live at MeasureCamp Chicago 1:27:17

7M ago1:27:17

1:27:17

For the first time since they've been a party of five, all of the Analytics Power Hour co-hosts assembled in the same location. That location? The Windy City. The occasion? Chicago's first ever MeasureCamp! The crew was busy throughout the day inviting attendees to "hop on the mic" with them to answer various questions. We covered everything from f…

1
#255: Dear APH-y: Career Inflection Points 59:23

7M ago59:23

59:23

To data analyst, or to data science? To individually contribute, or to manage the individual contributions of others? To mid-career pivot into analytics, or to… oh, hell yes! That last one isn’t really a choice, is it? At least, not for listeners who are drawn to this podcast. And this episode is a show that can be directly attributed to listeners.…

1
#254: Is Your Use of Benchmarks Above Average? with Eric Sandosham 1:04:35

8M ago1:04:35

1:04:35

It's human nature to want to compare yourself or your organization against your competition, but how valuable are benchmarks to your business strategy? Benchmarks can be dangerous. You can rarely put your hands on all the background and context since, by definition, benchmark data is external to your organization. And you can also argue that benchm…

1
#253: Adopting a Just In Time, Just Enough Data Mindset with Matt Gershoff 1:08:03

8M ago1:08:03

1:08:03

While we don’t often call it out explicitly, the driving force behind much of what and how much data we collect is driven by a "just in case" mentality: we don't know exactly HOW that next piece of data will be put to use, but we better collect it to minimize the potential for future regret about NOT collecting it. Data collection is an optionality…

1
#252: The Ever-Shifting Operating Environment of the Data Professional 52:19

8M ago52:19

52:19

Broadly writ, we’re all in the business of data work in some form, right? It’s almost like we’re all swimming around in a big data lake, and our peers are swimming around it, too, and so are our business partners. There might be some HiPPOs and some SLOTHs splashing around in the shallow end, and the contours of the lake keep changing. Is lifeguard…

1
#251: The Continued Rise of the Analytics Engineer with Dumky de Wilde 1:01:29

9M ago1:01:29

1:01:29

We're seeing the title "Analytics Engineer" continue to rise, and it’s in large part due to individuals realizing that there's a name for the type of work they've found themselves doing more and more. In today's landscape, there's truly a need for someone with some Data Engineering chops with an eye towards business use cases. We were fortunate to …

1
#250: Real World Data (RWD) Lessons from Healthcare-land with Dr. Lewis Carpenter 1:05:03

9M ago1:05:03

1:05:03

A claim: in the world of business analytics, the default/primary source of data is real world data collected through some form of observation or tracking. Occasionally, when the stakes are sufficiently high and we need stronger evidence, we'll run some form of controlled experiment, like an A/B test. Contrast that with the world of healthcare, wher…

1
#249: Three Humans and an AI at Marketing Analytics Summit 46:12

10M ago46:12

46:12

How good are humans at distinguishing between human-generated thoughts and AI-generated…thoughts? Could doing an extremely unscientific exploration of the question also generate some useful discussion? We decided to dig in and find out with a show recorded in front of a live audience at Marketing Analytics Summit in Phoenix! With Michael in the rol…

1
#248: The Fundamentally Fascinating World of APIs with Marco Palladino 1:07:45

10M ago1:07:45

1:07:45

Application Programming Interfaces (APIs) are as pervasive as they are critical to the functioning of the modern world. That personalized and content-rich product page with a sub-second load time on Amazon? That's just a couple-hundred API calls working their magic. Every experience on your mobile device? Loaded with APIs. But, just because they're…

1
#247: Professional Development, Analytically Speaking with Helen Crossley 1:02:57

11M ago1:02:57

1:02:57

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 …

Podcasts Worth a Listen

Mobileanalytics Podcasts

Podcasts Worth a Listen

1
The Analytics Power Hour

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

1
#270: AI and the Analyst. We've Got It All Figured Out. 1:01:10

1
#269: The Ins and Outs of Outliers with Brett Kennedy 1:08:19

1
#268: You Get an Insight! And YOU Get an Insight! with Chris Kocek 1:07:14

1
#267: Regression? It Can be Extraordinary! (OLS FTW. IYKYK.) with Chelsea Parlett-Pelleriti 1:01:11

1
#266: AI Projects: From Obstacles to Opportunities 58:59

1
#265: Connected Wellness in the Age of AI with Michael Tiffany 55:03

1
#264: When the Analyst’s Toolbox Includes Assessing the Zeitgeist with Erika Olson 1:08:15

1
#263: Analytics the Right Way 1:06:18

1
(Bonus) 2024 Listener Survey...Wrapped! 22:46

1
#262: 2025 Will Be the Year of... with Barr Moses 1:08:09

1
#261: 2024 Year in Review 1:03:33

1
#260: Once Upon a Data Story with Duncan Clark 1:00:08

1
#259: Dateline Data 1:01:30

1
#258: Goals, KPIs, and Targets, Oh My! with Tim Wilson 1:05:52

1
#257: Analyst Use Cases for Generative AI 1:05:35

1
#256: Live at MeasureCamp Chicago 1:27:17

1
#255: Dear APH-y: Career Inflection Points 59:23

1
#254: Is Your Use of Benchmarks Above Average? with Eric Sandosham 1:04:35

1
#253: Adopting a Just In Time, Just Enough Data Mindset with Matt Gershoff 1:08:03

1
#252: The Ever-Shifting Operating Environment of the Data Professional 52:19

1
#251: The Continued Rise of the Analytics Engineer with Dumky de Wilde 1:01:29

1
#250: Real World Data (RWD) Lessons from Healthcare-land with Dr. Lewis Carpenter 1:05:03

1
#249: Three Humans and an AI at Marketing Analytics Summit 46:12

1
#248: The Fundamentally Fascinating World of APIs with Marco Palladino 1:07:45

1
#247: Professional Development, Analytically Speaking with Helen Crossley 1:02:57