The Measure Pod

#125 Proactive pipelines – the power of shifting left (with Chad Sanderson at Gable)

74 min • 25 juli 2025

Full show notes, transcript and AI chatbot - http://bit.ly/452Y00x

Watch on YouTube - https://youtu.be/mVwb4KJpUoM

00:00:00 Introduction
00:07:46 Google Analytics MCP server
00:08:39 AI in Google Analytics management
00:12:27 Google Analytics and Reddit ads
00:17:14 Shift left manifesto explained
00:21:06 Data ownership and governance
00:24:06 Shifting left in data quality
00:28:19 Tools for data engagement
00:31:12 Data contracts as agreements
00:34:06 Power dynamics in data relationships
00:37:27 Data contracts for marketing analytics
00:41:28 Bridging tech language gaps
00:45:12 Adoption challenges in technology
00:50:17 Coordination and structure in data
00:54:10 AI's impact on software dependencies
00:58:14 Use cases for data contracts
01:00:09 Data contracts for business value
01:05:23 Use case-driven data strategy
01:08:08 Data contracts in software development
01:10:17 AI's role in data engineering
01:13:30 Predictions for the future

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Episode Summary:

In this episode of The Measure Pod, Dara and Matt are joined by Chad Sanderson from Gable.ai, a seasoned expert in the data space with a diverse background ranging from journalism to data science. Chad shares insights from his extensive career, which includes roles at large corporations like Subway, Oracle, and Microsoft, as well as at smaller startups. They discuss the concept of shifting left and how this approach aims to improve data quality, reduce costs, and accelerate data delivery by addressing issues earlier in the data lifecycle.

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About The Measure Pod:

The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.

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If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!

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