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Analytics
Artificial Intelligence
Data Analytics
Generative AI
Apis
Mentorship
Data Problems
Communication Skills
Effective Questions
Digital Analytics
Marketing Analytics Summit
Data Communities
Data Science
Analytics Reporting
E-Metrics
Statistical Process Control
Professional Development
Media Mix Modeling
Uncertainty In Analytics
Stakeholder Communication

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 conf... more

PublishesTwice monthlyEpisodes298Founded11 years ago
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Artwork for The Analytics Power Hour

Latest Episodes

It's the most…won…derful…tiiiiime…of the year! And by that, we mean it's the time of the year when we sit back, look at each other, and ask, "Where did all the time go?!" We brought back a very special someone for this episode as we collectively refl... more

Semantic layers are having something of a moment, but they're not actually new as a concept. Ever since the first database table was designed with cryptic field names that no business user could possibly understand, there's been a need for some form ... more

YouTube

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,... more

YouTube

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 ha... more

YouTube

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Recent Guests

Cindi Howson
Chief Data and AI Strategy Officer at Thoughtspot, industry veteran, and host of The Data Chief Podcast.
Thoughtspot
Episode: #286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson
Michael Kaminsky
Co-CEO of Recast and organizer of the locally optimistic Slack community
Recast
Episode: #285: Our Prior Is That Many Analysts Are Confounded by Bayesian Statistics
Joe Domaleski
Owner of Country Fried Creative, a full-service digital marketing agency.
Country Fried Creative
Episode: #283: Good Things (Can) Come in Small Datasets with Joe Domaleski
Chris Dalla Riva
Senior Product Manager of Data and Personalization at Audio Mac and musician.
Audio Mac
Episode: #282: Using (and Creating!) Data to Understand Pop Culture with Chris Dalla Riva
Anna Lee
CEO of Flybuys, Australia's number one loyalty program, former CFO and COO with extensive experience in the digital and retail sectors
Flybuys
Episode: #281: Analytics: The View from the Corner Office with Anna Lee
Andy Cotgreave
Co-author of The Big Book of Dashboards and author of Dashboards That Deliver, experienced in data visualization
Tableau
Episode: #280: Dashboards Must Die! Long Live Dashboards! with Andy Cotgreave
Juliana Jackson
Associate Director of Data and Digital Experience at Monks, co-host of the Stanger Deviations podcast
Monks
Episode: #278: Is AI Good at Data Analysis? That's the Wrong Question? with Juliana Jackson
Chelsea Parlett-Pelleriti
Consulting statistician at Recast and teaches statistics and math at Chapman University.
Recast
Episode: #277: ANOVA? I Hardly Know Ya'! with Chelsea Parlett-Pelleriti
Colin Zima
CEO of Omni, a modern business intelligence platform.
Omni
Episode: #276: BI is Dead! Long Live BI! With Colin Zima

Hosts

Michael Helbling
Co-host with a strong background in analytics, advocating for practical applications of data in business contexts.
Tim Wilson
Co-host known for engaging discussions on analytics methodologies and industry insights.
Moe Kis
Co-host focused on translating complex analytics strategies into accessible content.
Val Kroll
Co-host contributing insights from a professional background in analytics and business efficiency.
Julie Hoyer
Co-host with expertise in data analytics and digital experience, providing nuanced perspectives on industry trends.

Reviews

4.8 out of 5 stars from 388 ratings
  • Funny, informative, and intelligent

    This is the podcast you were looking for - if you’re into analytics, data science, statistics, machine learning, and all the cool stuff then this is the one podcast you need to listen to. I don’t know how they do it, but the hosts are hilarious and your IQ will go up one point every time you listen. It’s not easy to pull off an audio podcast about a very visual topic - but they do it. Love the format and how they close each episode. If I know I’m going to be stuck in Atlanta traffic for at least... more

    Apple Podcasts
    5
    joedom
    United States8 months ago
  • Smart and funny

    Love the insights and laughs I get from this podcast. You all have a high bar for analysts and the value they can add, which I so appreciate. And you share all of that perspective via hilarious and authentic banter. Keep it up!

    Apple Podcasts
    5
    jesst5272018
    United Statesa year ago
  • 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 w... more

    Apple Podcasts
    5
    SierraSea
    United States2 years ago
  • 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!

    Apple Podcasts
    5
    Pauli♥️
    United States2 years ago
  • Entertaining and super useful!

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

    Apple Podcasts
    5
    N/A217
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the mixture of humor and insightful discussions regarding technical analytics topics.
The podcast is praised for its engaging format and the hosts' ability to break down complex issues.
Audience feedback highlights the sense of community and support it fosters among data professionals.
Many reviews note the informative nature of the discussions, making it beneficial for both beginners and experienced professionals.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

#286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson
Q: What are the primary issues when implementing a semantic layer?
One needs to avoid overwhelming users by exposing too much physical storage data and focus on the specific questions that users are likely to ask.
#286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson
Q: What does a semantic layer provide and why is it important?
It provides a representation of business models in terms that users can understand, connecting business terminology to data structures, ensuring clarity and consistency throughout the organization.
#281: Analytics: The View from the Corner Office with Anna Lee
Q: How do you communicate the story of value to senior stakeholders, especially regarding intangible learnings?
Anna discusses the importance of articulating ROI for both tangible and intangible values in data initiatives, suggesting that experience can guide these conversations.
#281: Analytics: The View from the Corner Office with Anna Lee
Q: What have you seen as the stands for a strong data team, particularly from the bottoms up?
Anna emphasizes the importance of actionable insights and the clear 'so what' behind data, so that it drives a conversation in the business.
#281: Analytics: The View from the Corner Office with Anna Lee
Q: What are some ways to help change the culture to be more flexible with tools and methodologies?
Anna suggests finding the balance between routine cadences in reporting and creating space for team members to question and discover new insights.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About The Analytics Power Hour

What is The Analytics Power Hour about and what kind of topics does it cover?

Focusing on the evolving field of data analytics, episodes feature lively discussions among industry professionals, unpacking complex topics such as Bayesian statistics, small datasets, data visualization, and the integration of artificial intelligence in analytics. The hosts provide insightful perspectives on practical applications of analytics in business contexts, making technical subjects accessible and engaging for listeners. With a mix of humor and personal anecdotes, the conversations aim to foster a sense of community among data analysts, encouraging continuous learning and open dialogue about best practices and emerging trends in the industry.

Where can I find podcast stats for The Analytics Power Hour?

Rephonic provides a wide range of podcast stats for The Analytics Power Hour. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to The Analytics Power Hour and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does The Analytics Power Hour get?

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What are the audience demographics for The Analytics Power Hour?

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How many subscribers and views does The Analytics Power Hour have?

To see how many followers or subscribers The Analytics Power Hour has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to The Analytics Power Hour?

These podcasts share a similar audience with The Analytics Power Hour:

1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Me, Myself, and AI
3. This Week in Startups
4. Practical AI
5. The a16z Show

How many episodes of The Analytics Power Hour are there?

The Analytics Power Hour launched 11 years ago and published 298 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact The Analytics Power Hour?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for The Analytics Power Hour?

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What guests have appeared on The Analytics Power Hour?

Recent guests on The Analytics Power Hour include:

1. Cindi Howson
2. Michael Kaminsky
3. Joe Domaleski
4. Chris Dalla Riva
5. Anna Lee
6. Andy Cotgreave
7. Juliana Jackson
8. Chelsea Parlett-Pelleriti

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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