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PODCAST

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

business marketing

All Episodes

55:10

#230: First, We Must Discover. Then, We Can Explore....

The Analytics Power Hour ·

2023/10/17

Seemingly straightforward data sets are seldom as simple as they initially appear. And, many an analysis has been tripped up by erroneous assumptions about either the data itself or about the business context in which that data exists. On this episode, Michael, Val, and Tim sat down with Viyaleta Apgar, Senior Manager of Analytics Solutions at Indeed.com, to discuss some antidotes to this very problem! Her structured approach to data discovery asks the analyst to outline what they know and don’t

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52:32

#229: Data and the ABCs (SERIES A, B, and C, That...

The Analytics Power Hour ·

2023/10/03

Most of the time, we think of analytics as taking historical data for a business, munging it in various ways, and then using the results of that munging to make decisions. But, what if the business has no (or very little) historical data… because it's a startup? That's the situation venture capitalists — especially those focused on early stage startups — face constantly. We were curious as to how and where data and analytics play a role in such a world, and Sam Wong, a partner at Blackbird Ventures,

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52:02

#228: What AI Can't Do with Dr. Brandeis Marshall

The Analytics Power Hour ·

2023/09/19

It's a lot of work to produce each episode of this show, so we were pretty sure that, by this time, we would have just turned the whole kit and kaboodle over to AI. Alas! It seems like the critical thinking and curiosity and mixing of different personalities in a discussion are safely human tasks… for now. Dr. Brandeis Marshall joined Michael, Julie, and Moe for a discussion about AI that, not surprisingly, got a little bleak at times, but it also had a fair amount of hope and handy perspectives

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01:01:09

#227: Demystifying Complex Data Science Concepts for...

The Analytics Power Hour ·

2023/09/05

One of the biggest challenges for the analyst or data scientist is figuring out just how wide and just how deep to go with stakeholders when it comes to key (but, often, complicated) concepts that underpin the work that's being delivered to them. Tell them too little, and they may overinterpret or misinterpret what's been presented. Tell them too much, and they may tune out or fall asleep… and, as a result, overinterpret or misinterpret what's been presented. On this episode, Dr. Nicholas

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58:03

#226: Training Analysts to be Curious and Use...

The Analytics Power Hour ·

2023/08/22

We were curious about… curiosity. We know it's a critical trait for analysts, but is it an innate characteristic, a teachable skill, or some combination of both? We were curious. How can the breadth and depth of a candidate's curiosity be assessed as part of the interview process? We were curious. Who could we kick these questions (and others) around with? We were NOT curious about that! MaryBeth Maskovas, founder and Principal Consultant at Insight Lime Analytics, joined Michael, Julie, and Tim to

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53:36

#225: From Stakeholder Buy-In to Stakeholder...

The Analytics Power Hour ·

2023/08/08

This topic was such a big deal that we managed to have no guests, and yet we had five people on the mic! Why? Because this episode doubles as a marker of a shift in the show itself. Beyond that, though, we had a lively discussion about how every business stakeholder professes to being committed to being data driven. That should make every stakeholder super easy to work with, right? And, yet, analysts often find themselves struggling to get on the same page with their counterparts due to the

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57:35

#224: The Chronic Undervaluing of Analyst...

The Analytics Power Hour ·

2023/07/25

On the one hand, analysts generally know and accept that part of their responsibility is to not only conduct analyses, but to effectively communicate the results of those analyses to their stakeholders. On the other hand, "communication" can feel like a pretty squishy and nebulous skill. On this episode, Michael, Moe, and Tim tackled that nebulosity (side note: using obscure words is generally not an effective communication tactic). For complete show notes, including links to items mentioned in this

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57:33

#223: Explainability in AI with Dr. Janet Bastiman

The Analytics Power Hour ·

2023/07/11

To trust something, you need to understand it. And, to understand something, someone often has to explain it. When it comes to AI, explainability can be a real challenge (definitionally, a "black box" is unexplainable)! With AI getting new levels of press and prominence thanks to the explosion of generative AI platforms, the need for explainability continues to grow. But, it's just as important in more conventional situations. Dr. Janet Bastiman, the Chief Data Scientist at Napier, joined Moe and

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01:08:37

#222: A is for… Analytics. Agency. Acquisitions! with...

The Analytics Power Hour ·

2023/06/27

There comes a time in every analyst's career where they consider starting up their own consultancy. Or, if not that, then at least joining an agency or a consultancy. The nature of most businesses is to grow, and with growth comes the potential for an "exit." This episode dives into that world in an attempt to demystify some of the ins and outs of the acquisition of analytics consultancies, from the owners' perspectives, employees' perspectives, and acquiring companies' perspectives. Since these are

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56:18

#221: Causal Inference Revisited (...DAGnabbit!) with...

The Analytics Power Hour ·

2023/06/13

What causes us to keep returning to the topic of causal inference on this show? DAG if we know! Whether or not you're familiar with directed acyclic graphs (or… DAGs) in the context of causal inference, this episode is likely for you! DJ Rich, a data scientist at Lyft, joined us to discuss causality — why it matters, why it's tricky, and what happens when you tackle causally modelling the complexity of a large-scale, two-sided market! For complete show notes, including links to items mentioned in

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01:02:20

#220: Product Management for Data Products and Data...

The Analytics Power Hour ·

2023/05/30

Data gets accessed and used in an organization through a variety of different tools (be they built, bought, or both). That work can be quick and smooth, or it can be tedious and time-consuming. What can make the difference, in modernspeak, is the specifics of the "data products" and "data platforms" being used for those tasks. Those specifics, in turn, often fall on the shoulders of (data) product managers! In this episode, Austin Byrne, Group Product Lead for Data at Canva, joined us for a

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58:41

#219: To Generalize or to Specialize? That is the...

The Analytics Power Hour ·

2023/05/16

There are only so many hours in a day and only so many days in a year. Logically, then, the best way to grow a career as a data worker is to spend as many hours as possible doing focused data work, right? Well… probably not. In this episode, we dove into generalization versus specialization — what does that even mean, and how should we think about balancing between the two, and how can interests and activities outside of the data work itself actually make us better analysts? Bonus activity: listen

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53:31

#218: Delivering Value by Listening for Problems with...

The Analytics Power Hour ·

2023/05/02

Do you ever feel like the experiments and analyses you're working on feel a little bit like a trip on a hamster wheel — properly grounded in hypotheses, perhaps, but not necessarily moving the business forward like you'd hoped? On this episode, Matty Wishnow, the author of Listening for Growth: What Startups Need the Most but Hear the Least, joined Moe, Tim, and Val for a discussion about why that may be, and how reframing the work to focus first and foremost on identifying problems (and unmet

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52:35

#217: Rethinking Privacy with Jodi Daniels

The Analytics Power Hour ·

2023/04/18

Are you already inwardly groaning a little bit because our latest episode is all about privacy? Yeah. We know. We've been tracking your emotions, along with your first name, your last name, your birthdate, your government ID number, and your household income for the past ten years. Actually, we just bought that last one (but good for you on the career growth front!). Okay. You know we're just joshing you (which makes sense, since producer Josh Crowhurst stepped in as a guest co-host on this

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59:57

#216: Operationalizing a Culture of Experimentation...

The Analytics Power Hour ·

2023/04/04

How does one build a strong culture of experimentation at an organization (and what does that even mean)? One way is to spend a few years working at a company that already has such a culture… and then jump ship to another organization that is well on its way! That's (sort of) what our guest, Lukas Vermeer, did when he left booking.com to go to Vista. With Val Kroll guest-co-hosting, we dug into the challenges — organizational, educational, and mindset-al (?) — when it comes to having an organization

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01:00:36

#215: (A Very) Real Talk about Simulation with...

The Analytics Power Hour ·

2023/03/21

When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with Julie Hoyer as a guest co-host while Moe is on leave, we were joined by Frances Sneddon, the CTO of Simul8, to dig into some of the nuts and bolts of simulation as a tool for improving processes. It turns out that effectively putting simulations to use means focusing on some of the same foundational aspects of effectively using analytics, data

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51:33

#214: Impostor Syndrome. Wait. Are We Even Qualified...

The Analytics Power Hour ·

2023/03/07

Do you listen to this podcast because you're pretty sure that you're a professional fraud, and you're hoping-hoping-hoping that you will absorb enough knowledge to stay ahead of being exposed as such? Well, stop that negative self-talk! Impostor syndrome is a very real thing, and we've devoted a whole show to digging into it! Julie Hoyer and Val Kroll joined Moe on this International Women's Day episode to discuss the topic. It turns out that there has been a lot of research in the area, there ARE

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53:11

#213: Data Contracts: What They Are, Their Role, and...

The Analytics Power Hour ·

2023/02/21

When it comes to data, there are data consumers (analysts, builders and users of data products, and various other business stakeholders) and data producers (software engineers and various adjacent roles and systems). It's all too common for data producers to "break" the data as they add new features and functionality to systems as they focus on the operational processes the system supports and not the data that those processes spawn. How can this be avoided? One approach is to implement "data

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56:16

#212: Innovation Through Analytics Within the...

The Analytics Power Hour ·

2023/02/07

What's more sexy: analytics or innovation? What about combining them! That sounds great, and Thomas Davenport would be so proud if you pulled it off, but the reality is that the idea of innovation through analytics is one thing, while the reality of making it happen is another thing entirely. Dr. Tiffany Perkins-Munn, Head of Marketing Data & Analytics at JPMorgan Chase & Co., joined us for a discussion on the subject! For complete show notes, including links to items mentioned in this episode and a

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55:23

#211: What To Do Next?

The Analytics Power Hour ·

2023/01/24

We've been on a bit of a streak of culture and career discussions, which means we want to assure you that Tim is not actually tied up in a basement with no access to our content calendar. Actually, in this episode, Tim plopped down on the therapy couch as a vessel for the wisdom of Moe and Michael about structured techniques for analysts to chart the best paths for their careers. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show

en

299 results

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