About this episode
Today, I’m talking to Andy Sutton, GM of Data and AI at Endeavour Group, Australia's largest liquor and hospitality company. In this episode, Andy—who is also a member of the Data Product Leadership Community (DPLC)—shares his journey from traditional, functional analytics to a product-led approach that drives their mission to leverage data and personalization to build the “Spotify for wines.” This shift has greatly transformed how Endeavour’s digital and data teams work together, and Andy explains how their advanced analytics work has paid off in terms of the company’s value and profitability.
You’ll learn about the often overlooked importance of relationships in a data-driven world, and how Andy sees the importance of understanding how users do their job in the wild (with and without your product(s) in hand). Earlier this year, Andy also gave the DPLC community a deeper look at how they brew data products at EDG, and that recording is available to our members in the archive.
We covered:
What it was like at EDG before Andy started adopting a producty approach to data products and how things have now changed (1:52)
The moment that caused Andy to change how his team was building analytics solutions (3:42)
The amount of financial value that Andy's increased with his scaling team as a result of their data product work (5:19)
How Andy and Endeavour use personalization to help build “the Spotify of wine” (9:15)
What the team under Andy required in order to make the transition to being product-led (10:27)
The successes seen by Endeavour through the digital and data teams’ working relationship (14:04)
What data product management looks like for Andy’s team (18:45)
How Andy and his team find solutions to bridging the adoption gap (20:53)
The importance of exposure time to end users for the adoption of a data product (23:43)
How talking to the pub staff at EDG’s bars and restaurants helps his team build better data products (27:04)
What Andy loves about working for Endeavour Group (32:25)
What Andy would change if he could rewind back to 2022 and do it all over (34:55)
Final thoughts (38:25)
Quotes from Today’s Episode
“I think the biggest thing is the value we unlock in terms of incremental dollars, right? I’ve not worked in analytics team before where we’ve been able to deliver a measurable value…. So, we’re actually—in theory—we’re becoming a profi
