Digital Analytics Power Hour #082 — Live @ Superweek 2018

"For the second year in a row for the podcast — but the first appearance since Moe joined the crew — we headed to the Hunguest Grandhotel Galya outside Budapest for Superweek, one of the most unique conference experiences in the digital analytics industry: comfortably isolated over an hour outside of Budapest in a beautiful setting, it’s a temporary community of, for, and by the analyst. With sessions ranging from GDPR to machine learning to attribution to media analytics, the spaces before, between, and after the presentations were extended discussions with great people on a wide range of topics. The “fireside chat” on Wednesday evening was a recording of the podcast with a live audience, where we had attendees to share tips and ideas that we found particularly intriguing. And had quite a bit of fun along the way."

In order of appearance, the participants in the show were:

Prolet Miteva, Autodesk
Jim Sterne, Rising Media (and more!)
Hussain Mehmood, Marketlytics
Matt Gershoff, Conductrics
Martijn Scheybeler, Postmates
Peter Meyer, Nordea
Robert Petković, Bruketa&Žinić&Grey
Raphael Calgaro, Ig2
Mariia Bocheva, OWOX BI
Charles Farina, Analytics Pros
Yehoshua Coren, Analytics Ninja LLC
Krista Seiden, Google
Erik Driessen, Greenhouse Group BV
Pawel Kapuscinski, Zalando SE

References Made in the Show:

Zoltán (Zoli) Bánóczy
GDPR
Artificial Intelligence for Marketing: Practical Applications (book by Jim Sterne)
Kayleigh Rogers
Thong — the definition Moe DIDN’T mean
Thong — the definition Moe DID mean
Conductrics
#mattgershoffed
All models are wrong, but some models are useful.
Science and Statistics (George Box paper in the Journal of the American Statistical Association)
Francis Bacon
David Hume
Simo Ahava
Tealium
Lee Isensee
The Measure Slack Team (join link)
MongoDB
Mixpanel
Stéphane Hamel
Steen Rasmussen
OWOX BI Pipeline’s BigQuery Connector
Analytics Pros
Krista Seiden
@kegalytics
Pintro Tunes – Ruben Mak and Erik Driessen’s people tracking solution
DAPH transcript mining using R