276 Epizód

  1. #129: Data Accuracy and Completeness with Yali Sassoon

    Közzétéve: 2019. 12. 03.

  2. #128: Neuroscience, the Customer Experience, and the Data Therein with Diana Lucaci

    Közzétéve: 2019. 11. 19.

  3. #127: Is Multi-Touch Marketing Attribution Dead? Should It Be? With Priscilla Cheung

    Közzétéve: 2019. 11. 05.

  4. #126: When the Data Contradicts Conventional Wisdom with Emily Oster

    Közzétéve: 2019. 10. 22.

  5. #125: Modern Browsers and the Destruction of the Analyst's Dreams with Cory Underwood

    Közzétéve: 2019. 10. 08.

  6. #124: Image-ine What the Analyst Can Do Using Machine Vision with Ali Vanderveld

    Közzétéve: 2019. 09. 24.

  7. #123: Ad Fraud with Augustine Fou

    Közzétéve: 2019. 09. 10.

  8. #122: Dealing with Disparate Stakeholders with Astrid Illum

    Közzétéve: 2019. 08. 27.

  9. #121: Onboarding the Analyst

    Közzétéve: 2019. 08. 13.

  10. #120: Causal Inference with Bradley Fay

    Közzétéve: 2019. 07. 30.

  11. #119: What Grinds Our Gears - MAS 2019

    Közzétéve: 2019. 07. 16.

  12. #118: Ethics in AI with Finn Lattimore

    Közzétéve: 2019. 07. 02.

  13. #117: What's in a Job Title? Maybe the Data Shows!

    Közzétéve: 2019. 06. 18.

  14. #116: Analytics Education at Scale with Justin Cutroni from Google

    Közzétéve: 2019. 06. 04.

  15. #115: Build vs. Buy with June Dershewitz from Twitch

    Közzétéve: 2019. 05. 21.

  16. #114: ITP 2.0? 2.1? Whatever it takes!

    Közzétéve: 2019. 05. 07.

  17. #113: Getting the Most Out of Conferences

    Közzétéve: 2019. 04. 23.

  18. #112: Demystifying Data Science with Ian Thomas

    Közzétéve: 2019. 04. 09.

  19. #111: Automation in Analytics with Erik Driessen

    Közzétéve: 2019. 03. 26.

  20. #110: Creating Balanced Teams (and Avoiding Groupthink)

    Közzétéve: 2019. 03. 07.

8 / 14

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.

Visit the podcast's native language site