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#285: Our Prior Is That Many Analysts Are Confounded by Bayesian Statistics
2025-11-25 · 05:30
Michael Kaminsky
– co-founder
@ Recast
Before you listen to this episode, can you quantify how useful you expect it to be? That's a prior! And "priors" is a word that gets used a lot in this discussion with Michael Kaminsky as we try to demystify the world of Bayesian statistics. Luckily, you can just listen to the episode once and then update your expectation—no need to simulate listening to the show a few thousand times or crunch any numbers whatsoever. The most important takeaway is that you'll know you've achieved Bayesian clarity when you come to realize that human beings are naturally Bayesian, and the underlying principles behind Bayesian statistics are inherently intuitive. This episode's Measurement Bite from show sponsor Recast is a brief explanation of statistical significance (and why shorthanding it is problematic…and why confidence intervals are generally more practically useful in business than p-values) from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#284: I Used to Think...But Not Any More
2025-11-11 · 05:30
Michael Kaminsky
– co-founder
@ Recast
As the world turns, a couple of things happen: 1) we grow and learn, and 2) the world changes. On this episode, inspired by a job interview question, the hosts walked through a range of thoughts and beliefs they had at one time that they no longer have today. Analytics intake forms are good…or bad? Analytics centers of excellence are the sign of a mature organization…or they're just one of many potential options? Privacy concerns are something no one really cares about…or they are something everyone cares deeply about? Voices were raised. Light profanity was employed. Laughter ensued. This episode's Measurement Bite from show sponsor Recast is a brief explanation of statistical significance (and why shorthanding it is problematic…and why confidence intervals are often more practically useful in business than p-values) from Michael Kaminsky. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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From PL-300 to DP-600: Level Up Your Analytics Skills (option 1)
2025-11-05 · 23:00
Certified as a Power BI Data Analyst and ready to take the next step? In this one-hour session, we’ll walk through the key differences between PL-300 and DP-600, highlight the new concepts covered in the Fabric Analytics Engineer role, and share practical tips for making the transition. You’ll leave with a clear roadmap of what to study, where to focus your learning, and how to build on your PL-300 knowledge to prepare for DP-600 certification. 📌 This session is a part of a series! Learn more here |
From PL-300 to DP-600: Level Up Your Analytics Skills (option 1)
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#283: Good Things (Can) Come in Small Datasets with Joe Domaleski
2025-10-28 · 04:30
Joe Domaleski
– guest
@ Country Fried Creative
Does size matter? When it comes to datasets, the conventional wisdom seems to be a resounding, "Yes!" But what about small datasets? Small- and mid-sized businesses and nonprofits, especially, often have limited web traffic, small email lists, CRM systems that can comfortably operate under the free tier, and lead and order counts that don't lend themselves to "big data" descriptors. Even large enterprises have scenarios where some datasets easily fit into Google Sheets with limited scrolling required. Should this data be dismissed out of hand, or should it be treated as what it is: potentially useful? Joe Domaleski from Country Fried Creative works with a lot of businesses that are operating in the small data world, and he was so intrigued by the potential of putting data to use on behalf of his clients that he's mid-way through getting a Master's degree in Analytics from Georgia Tech! He wrote a really useful article about the ins and outs of small data, so we brought him on for a discussion on the topic! This episode's Measurement Bite from show sponsor Recast is an explanation of synthetic controls and how they can be used as counterfactuals from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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Chris Dalla Riva
– guest
Data does not just magically spring into existence. Someone, somewhere, has to decide what data gets created and the rules for its creation. We would claim that this often starts as a pretty simple exercise, and then, over time, that simplicity balloons to be pretty complex! What if, for instance, you decided to listen to every #1 song on the Billboard Hot 100 going back to its inception in 1958? You may start by just capturing the song name, the artist, and the week(s) it was the #1 song. But, before you know it, you may find that you're adding in artist details…and songwriter details…and producer details…and genre details…and instrumentation details, and your dataset has 105 columns! But, oh, the questions that dataset could answer! And that's exactly the dataset that our guest for this episode, Chris Dalla Riva, created. He uses it (with a range of supplemental datasets) for his pieces in his Substack, Can't Get Much Higher, as well as the underlying raw material for his upcoming book, Uncharted Territory: What Numbers Tell Us about the Biggest Hit Songs and Ourselves. While the underlying material was music, the parallels to more staid business data were many when it comes to the underlying processes and challenges for doing that work! This episode's Measurement Bite from show sponsor Recast is an explanation of the miracle of randomization when it comes to addressing unobserved confounders from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#281: Analytics: The View from the Corner Office with Anna Lee
2025-09-30 · 04:30
Anna Lee
– CEO
@ Flybuys
From spreadsheets to strategy: what does data look like from the CEO's chair? For this episode, we sat down with Anna Lee, CEO of Flybuys and former CFO/COO of THE ICONIC, to get her view on data-led leadership and what great looks like in data and analytics. Discover how Anna's journey from finance to the corner office has shaped her approach to leveraging evidence for strategic decision-making. From productive curiosity, to informed pragmatism, and how data teams can build trust with leadership, this is a candid conversation about analytics from the top down. Whether you're embedded in a squad or building the next big data platform, this one's for anyone who's ever wondered what it takes to truly influence the C-suite! This episode's Measurement Bite from show sponsor Recast is an overview of the fundamental problem of causal inference from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#280: Dashboards Must Die! Long Live Dashboards! with Andy Cotgreave
2025-09-16 · 04:30
Andy Cotgreave
– Technical Evangelist
@ Tableau
If you didn't have a visceral reaction to the title for this episode, then you are almost certainly not in our target audience. There are few more certain ways to get a room full of analytics folk fired up than to raise the topic of dashboards. Are they where data goes to die, or are they the essential key to unlocking self-service access to actionable insights? Are they both? Is the question irrelevant, because, if they exist to inform business users, aren't they soon going to be replaced by an AI-powered chatbot, anyway? We thought a great way to dig into the topic (and, BTW, we were right) would be to have someone on the show who has co-penned multiple books on the topic. As luck would have it, Andy Cotgreave, one of the co-authors of both 2017's The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios and the imminently releasing Dashboards That Deliver: How to Design, Develop, and Deploy Dashboards That Work agreed to join us for a lively chat on the topic! This episode's Measurement Bite from show sponsor Recast is a quick explanation of power analysis from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#279: The Process(es) of Analytics (We Have Thoughts)
2025-09-02 · 04:30
What is "process" in analytics? On the one hand, it can be seen as a detailed sequence of minutia by which anything that needs to be repeated in the world of analytics gets carried out in a structured and consistent manner. On the other hand, that's the sort of definition that strikes terror and rage in the hearts of many souls. Some of those souls are co-hosts of this podcast. Even the more process-oriented co-hosts bristle at such a definition (but for different reasons). So, what ARE some of the core processes in analytics? And, what is the appropriate balance between establishing a prescriptive structure and leaving sufficient flexibility to allow human judgment to adapt a process to fit specific situations? Those are the sorts of questions tackled on this episode, which was released on time with all of its underlying component parts thanks to a reasonably robust…process. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#278: Is AI Good at Data Analysis? That's the Wrong Question? with Juliana Jackson
2025-08-19 · 04:30
Juliana Jackson
– guest
@ Standard Deviation (podcast); Beyond the Mean Substack
Imagine a world where business users simply fire up their analytics AI tool, ask for some insights, and get a clear and accurate response in return. That's the dream, isn't it? Is it just around the corner, or is it years away? Or is that vision embarrassingly misguided at its core? The very real humans who responded to our listener survey wanted to know where and how AI would be fitting into the analyst's toolkit, and, frankly, so do we! Maybe they (and you!) can fire up ol' Claude and ask it to analyze this episode with Juliana Jackson from the Standard Deviation podcast and Beyond the Mean Substack to find out! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#277: ANOVA? I Hardly Know Ya'! with Chelsea Parlett-Pelleriti
2025-08-05 · 04:30
Chelsea Parlett-Pelleriti
– Chatistician
Did you know that, upon closer inspection, many a statistical test will reveal that "it's just a linear model" (#IJALM)? That wound up being a key point that our go-to statistician, Chelsea Parlett-Pelleriti, made early and often on this episode, which is the next installment in our informally recurring series of shows digging into specific statistical methods. The method for this episode? ANOVA! As a jumping off point to think about how data works—developing intuition about mean and variance (and covariates) while dipping our toes into F-statistics, family-wise error rates (FWER), and even a little Tukey HSD—ANOVA's not too shabby! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#276: BI is Dead! Long Live BI! With Colin Zima
2025-07-22 · 04:30
Colin Zima
– CEO
@ Omni
Product managers for BI platforms have it easy. They "just" need to have the dev team build a tool that gives all types of users access to all of the data they should be allowed to see in a way that is quick, simple, and clear while preventing them from pulling data that can be misinterpreted. Of course, there are a lot of different types of users—from the C-level executive who wants ready access to high-level metrics all the way to the analyst or data scientist who wants to drop into a SQL flow state to everyone in between. And sometimes the tool needs to provide structured dashboards, while at other times it needs to be a mechanism for ad hoc analysis. Maybe the product manager's job is actually…impossible? Past Looker CAO and current Omni CEO Colin Zima joined this episode for a lively discussion on the subject! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#275: The Modern Data...Job Search with Albert Bellamy
2025-07-08 · 04:30
Albert Bellamy
– guest
It's a process few people genuinely enjoy, but it's one which we all find ourselves going through periodically in our careers: landing a new job. We grabbed MajorData himself, Albert Bellamy, for a wide-ranging discussion about the ins and outs of that process: LinkedIn invitation etiquette (and, more importantly, effectiveness), how networking is like spousal communication (!), the usefulness of reducing the mental load required of recruiters and hiring managers, and much, much more! You might just want to drop and do twenty push-ups by the end of the episode! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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Turning Raw Drone Logs into Visual Stories with Power BI | Roman Tesolkin
2025-07-03 · 16:00
Speaker: Roman Tesolkin Start Date: Thu, Jul 3rd 2025 · 7:00 PM EEST (4:00 PM UTC) Language: ENGLIGH Location: Online (link visible for attendees) =============================================================== Description: In this 1-hour session, participants will learn how to transform raw DJI drone flight logs into actionable insights using Power BI. We’ll cover the process from start to finish: how to extract data, analyze key metrics such as altitude, speed, and battery usage, and build engaging, interactive dashboards to visualize flight performance. Attendees will also learn how to map GPS flight paths and identify trends in drone operations, turning raw data into meaningful insights for improved decision-making. This session is perfect for hobby drone operators, data enthusiasts, and analysts who want to enhance their understanding of drone data and utilize Power BI for in-depth analysis. Whether you're looking to optimize future flights or gain a clearer picture of your drone’s performance, this session will provide the essential tools and techniques to elevate both your flying and analytics skills. Top 5 Outcomes: - Master data extraction – Learn how to import and prepare DJI flight logs for analysis in Power BI. - Build interactive dashboards – Create dynamic visualizations to track key metrics like altitude\, speed\, and battery usage. - Analyze GPS flight paths – Visualize and interpret flight paths using geospatial features in Power BI. - Identify performance trends – Uncover patterns in drone performance to optimize future flights. - Make data-driven decisions – Gain insights that improve decision-making in drone operations and mission planning. Prerequisites/Requirements: Attendees should have a basic understanding of Power BI, including how to import data and navigate the platform. Some familiarity with drone data or telemetry (e.g., understanding of flight metrics like altitude and speed) would be beneficial but is not required. No prior experience with DJI drones is necessary. Value for Attendees: By the end of this session, attendees will have the skills to turn raw drone data into valuable insights using Power BI, empowering them to enhance drone performance and make informed decisions based on data analysis. This session is hands-on and practical, offering attendees immediate value they can apply to their own drone operations or data projects. =============================================================== At the end of the Meetup we'll have a Raffle with prizes offered by Enterprise DNA: 2 (two) 1 year FREE Membership Licenses on EDNA Platform for two lucky winners from the Live attendees ! =============================================================== Speaker: Roman Tesolkin Senior Data Analyst at Avanade Data Adventurer, Power BI Enthusiast and Workshop Leader from Ukraine based in Frankfurt am Main. Empowering Through Data: A Journey of Insights and Workshops! Area of Expertise
Connect with Roman here: |
Turning Raw Drone Logs into Visual Stories with Power BI | Roman Tesolkin
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#274: Real Talk About Synthetic Data with Winston Li
2025-06-24 · 04:30
Val Kroll
– host
,
Julie Hoyer
– host
,
Michael Helbling
– host
,
Tim Wilson
– host
@ Analytics Power Hour - Columbus (OH
,
Moe Kiss
– host
,
Winston Li
– founder
@ Arima
Synthetic data: it's a fascinating topic that sounds like science fiction but is rapidly becoming a practical tool in the data landscape. From machine learning applications to safeguarding privacy, synthetic data offers a compelling alternative to real-world datasets that might be incomplete or unwieldy. With the help of Winston Li, founder of Arima, a startup specializing in synthetic data and marketing mix modelling, we explore how this artificial data is generated, where its strengths truly lie, and the potential pitfalls to watch out for! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
The Analytics Power Hour |
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PyData Slovakia #31 & R<-Slovakia Meetup [Viktor Kessler: Apache Iceberg]
2025-06-13 · 14:00
Talk Title: "Governing the Lakehouse: Metadata-Driven Control with Apache Iceberg Catalogs" Description: Apache Iceberg has redefined how data is stored and queried in modern lakehouses by introducing a table format that supports ACID transactions, time travel, and schema evolution. At the heart of this transformation lies the Iceberg Catalog—a critical component that manages table metadata and connects distributed storage systems with compute engines. Catalogs play a central role in enabling metadata-driven governance, allowing data teams to enforce consistency, traceability, and access control at scale. In this session, we explore how Iceberg’s metadata model empowers key governance capabilities such as auditability, reproducibility, multi-engine interoperability, and simplified lineage tracking. But while Iceberg provides a solid foundation, essential governance features are still emerging. We'll examine what’s missing today: fine-grained policy enforcement, unified access control, real-time metadata observability, and first-class support for data contracts. As Iceberg adoption grows, evolving the catalog layer will be key to achieving enterprise-grade governance in open lakehouse architectures. Speaker/Bio: Viktor Kessler Viktor Kessler \| Co-Founder @ Vakamo https://www.linkedin.com/in/viktor-kessler/ & vakamo.com + docs.lakekeeper.io Open lakehouse ecosystems need more than raw power — they need governance, compatibility and freedom to evolve. In this forward-thinking session, Viktor Kessler, Co-Founder of Vakamo, breaks down the REST Catalog API of Apache Iceberg. You’ll also meet Lakekeeper, an open-source solution extending the REST standard with metadata-driven policy enforcement. After Viktor's main talk (45-60 min) there will be about 1,5 hour long R <- Slovakia / R User Group (sub-group of PyData Slovakia) meetup afterwards. Language of the event: English Moderator and Host of the event: Radovan Kavický, President & Principal Data Scientist @ GapData Institute; former AI & Data Science Evangelist @ AIslovakIA - National platform for AI development in Slovakia Registration: @Meetup.com group's event here (https://www.meetup.com/pydata-slovakia-bratislava/events/307510355/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-slovakia-meetup-30-maryam-alimardani-navigating-the-phd-journey-tickets-1341011775319?aff=oddtdtcreator). +our event you can find also @Facebook here (https://www.facebook.com/events/1823801225067220) and LinkedIn here (https://www.linkedin.com/events/7337730825595072513/about/). [Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat] Language of the event: English PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]-- PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States. The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]).Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/ Our Twitter account here: https://twitter.com/PyDataBA Our LinkedIn group here: https://www.linkedin.com/groups/13506080 R <- Slovakia (#RSlovakia) is sub-group of PyData Slovakia (#PyDataSK) & Bratislava (#PyDataBA) and an active place for discussion between R Enthusiasts and Users, Data Scientists, Economists and Statisticians of all levels in Slovakia using R for data analysis and data visualization. Powered by NumFOCUS, The R Foundation & GapData Institute. The goals are to build R community in Slovakia and to provide R enthusiasts a place to share ideas and learn from each other about how best to apply R to ever-evolving challenges in the vast realm of data analytics, management, processing and visualization. We share here interesting articles, links to books or work of others in R you find elsewhere, asking questions you have while working on an R project/visualization, as well as presenting results of your own work in R. On LinkedIn here: https://www.linkedin.com/groups/13503959 On Twitter you can follow us here: https://twitter.com/PyDataBA/ Organizers: GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good. \|\| Data. Think. Change. \|\|NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. |
PyData Slovakia #31 & R<-Slovakia Meetup [Viktor Kessler: Apache Iceberg]
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From 10 Hours to 10 Minutes: Unleashing the Power of Lakeflow Declarative Pipelines
2025-06-12 · 00:20
Sidney Cardoso
– Architect Solutions
@ Michelin
,
Yash Joshi
– Senior Data&AI Engineer
@ Accenture
How do you transform a data pipeline from sluggish 10-hour batch processing into a real-time powerhouse that delivers insights in just 10 minutes? This was the challenge we tackled at one of France's largest manufacturing companies, where data integration and analytics were mission-critical for supply chain optimization. Power BI dashboards needed to refresh every 15 minutes. Our team struggled with legacy Azure Data Factory batch pipelines. These outdated processes couldn’t keep up, delaying insights and generating up to three daily incident tickets. We identified Lakeflow Declarative Pipelines and Databricks SQL as the game-changing solution to modernize our workflow, implement quality checks, and reduce processing times.In this session, we’ll dive into the key factors behind our success: Pipeline modernization with Lakeflow Declarative Pipelines: improving scalability Data quality enforcement: clean, reliable datasets Seamless BI integration: Using Databricks SQL to power fast, efficient queries in Power BI |
Data + AI Summit 2025
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#273: Data Products Are... Assets? Platforms? Warehouses? Infrastructure? Oh, Dear. With Eric Sandosham
2025-06-10 · 04:30
Val Kroll
– host
,
Julie Hoyer
– host
,
Michael Helbling
– host
,
Tim Wilson
– host
@ Analytics Power Hour - Columbus (OH
,
Moe Kiss
– host
,
Eric Sandosham
– founder and partner
@ Red & White Consulting Partners
Is it just us, or are data products becoming all the rage? Is Google Trends a data product that could help us answer that question? What actually IS a data product? And does it even matter that we have a good definition? If any of these questions seem like they have cut and dried answers, then this episode may just convince you that you haven't thought about them hard enough! After all, what is more on-brand for a group of analysts than being thrown a question that seems simple only to dig in to realize that it is more complicated than it appears at first blush? On this episode, Eric Sandosham returned as a guest inspired by a Medium post he wrote a while back so we could all dive into the topic and see what we could figure out! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
The Analytics Power Hour |
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Qlik Public Sector Summit Happy Hour
2025-06-05 · 20:00
Qlik Public Sector Summit Happy Hour Unlocking Data Power & AI Innovation in Government Join ORI and IPC Global to keep the conversation going after Qlik’s Public Sector Summit on June 5! You’re invited to a post-event happy hour to connect further with your peers who are driving innovation across the public sector. Not attending the Summit? No problem - all Qlik-curious and Qlik-enthusiasts welcome! Join us for a toast to the future of data, analytics, and AI-driven insights in government! Light food and refreshments will be served. Date: Thursday, June 5 Time: 4:00pm – 6:00pm Location: Elephant & Castle 1201 Pennsylvania Avenue NW Washington, DC 20004 R.S.V.P. now for happy hour and don’t forget to register for the 2025 Qlik Public Sector Summit. |
Qlik Public Sector Summit Happy Hour
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#272: When the Metric is Calculated and Complex with Dan McCarthy
2025-05-27 · 04:30
Val Kroll
– host
,
Julie Hoyer
– host
,
Michael Helbling
– host
,
Tim Wilson
– host
@ Analytics Power Hour - Columbus (OH
,
Moe Kiss
– host
,
Dan McCarthy
– Associate Professor of Marketing
@ Robert H. Smith School of Business, University of Maryland
No matter how simple a metric's name makes it sound, the details are often downright devilish. What is a website visit? What is revenue? What is a customer? Go one level deeper with a metric like customer acquisition cost (CAC) or customer lifetime value (CLV or LTV, depending on how you acronym), and things can get messy in a hurry. In some cases, there are multiple "right" definitions, depending on how the metric is being used. In some cases, there are incentive structures to thumb the definitional scale one way or another. In some cases, a hastily made choice becomes a well-established, yet misguided, norm. In some cases, public companies simply throw their hands up and stop reporting a key metric! Dan McCarthy, Associate Professor of Marketing at the Robert H. Smith School of Business at the University of Maryland, spends a lot of time and thought culling through public filings and disclosures therein trying to make sense of metric definitions, so he was a great guest to have to dig into the topic! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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#271: It Might Be Irrational, but Let's Talk Behavioral Science with Dr. Lindsay Juarez
2025-05-13 · 04:30
Val Kroll
– host
,
Julie Hoyer
– host
,
Michael Helbling
– host
,
Tim Wilson
– host
@ Analytics Power Hour - Columbus (OH
,
Moe Kiss
– host
,
Dr. Lindsay Juarez
– behavioral scientist
@ Irrational Labs
Data that tracks what users and customers do is behavioral data. But behavioral science is much more about why humans do things and what sorts of techniques can be employed to nudge them to do something specific. On this episode, behavioral scientist Dr. Lindsay Juarez from Irrational Labs joined us for a conversation on the topic. Nudge vs. sludge, getting uncomfortably specific about the behavior of interest, and even a prompting of our guest to recreate and explain a classic Seinfeld bit! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page. |
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