276 Epizód

  1. #227: Demystifying Complex Data Science Concepts for Non-Technical Audiences with Dr. Nicholas Cifuentes-Goodbody

    Közzétéve: 2023. 09. 05.

  2. #226: Training Analysts to be Curious and Use Business Context with MaryBeth Maskovas

    Közzétéve: 2023. 08. 22.

  3. #225: From Stakeholder Buy-In to Stakeholder Knowledge of What That Means

    Közzétéve: 2023. 08. 08.

  4. #224: The Chronic Undervaluing of Analyst Communication Skills

    Közzétéve: 2023. 07. 25.

  5. #223: Explainability in AI with Dr. Janet Bastiman

    Közzétéve: 2023. 07. 11.

  6. #222: A is for… Analytics. Agency. Acquisitions! with Bob Morris

    Közzétéve: 2023. 06. 27.

  7. #221: Causal Inference Revisited (...DAGnabbit!) with DJ Rich

    Közzétéve: 2023. 06. 13.

  8. #220: Product Management for Data Products and Data Platforms with Austin Byrne

    Közzétéve: 2023. 05. 30.

  9. #219: To Generalize or to Specialize? That is the Question!

    Közzétéve: 2023. 05. 16.

  10. #218: Delivering Value by Listening for Problems with Matty Wishnow

    Közzétéve: 2023. 05. 02.

  11. #217: Rethinking Privacy with Jodi Daniels

    Közzétéve: 2023. 04. 18.

  12. #216: Operationalizing a Culture of Experimentation with Lukas Vermeer

    Közzétéve: 2023. 04. 04.

  13. #215: (A Very) Real Talk about Simulation with Frances Sneddon

    Közzétéve: 2023. 03. 21.

  14. #214: Impostor Syndrome. Wait. Are We Even Qualified to Discuss That? with Julie Hoyer and Val Kroll

    Közzétéve: 2023. 03. 07.

  15. #213: Data Contracts: What They Are, Their Role, and Their Evolution with Shane Murray

    Közzétéve: 2023. 02. 21.

  16. #212: Innovation Through Analytics Within the Enterprise with Dr. Tiffany Perkins-Munn

    Közzétéve: 2023. 02. 07.

  17. #211: What To Do Next?

    Közzétéve: 2023. 01. 24.

  18. #210: Starting the Year with Culture with Aaron Dignan

    Közzétéve: 2023. 01. 10.

  19. #209: 2022 Year in Review with Josh Crowhurst

    Közzétéve: 2022. 12. 27.

  20. #208: Charting Your Path into Data Leadership with Katie Bauer

    Közzétéve: 2022. 12. 13.

3 / 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