#127 Ensuring robust data collection – lessons from Trackingplan (with Josele Perez)

Full show notes, transcript and AI chatbot - http://bit.ly/4fNEBpm

Watch on YouTube - https://youtu.be/Bz4YYZCjT6g

00:00:00 Introduction
00:03:11 GPT-5 release predictions
00:06:15 Incremental updates in AI
00:10:14 AGI as a marketing label
00:14:41 Regulation catching up with AI
00:18:24 Google Cloud Marketing Analytics Partnership
00:20:07 Dataform's impact on data quality
00:25:39 First computer experience
00:27:52 AI coding and productivity challenges
00:31:24 Data collection challenges in analytics
00:34:18 Collaborative tracking in companies
00:40:45 Data anomaly detection capabilities
00:41:40 Reducing noise in analytics alerts
00:45:06 Innovators dilemma in analytics
00:50:01 Customer indifference to tracking issues
00:54:49 Data quality and business impact
00:56:03 Automation leads to more problems
00:59:40 Data quality in AI usage
01:02:30 AI in anomaly detection
01:08:00 Self-service in product interactions
01:09:14 Voice interfaces and attribution changes

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Episode Summary:

In this episode of The Measure Pod, Dara and Matt welcome Josele Perez, co-founder of Trackingplan, to dive into the evolving challenges and opportunities in data collection. Josele shares his personal journey, from his first computer experience to discovering coding as a form of therapy, before walking us through the mission behind Trackingplan. Together, they explore the most common pitfalls in data collection, why the collection phase deserves more focus, and how ownership and collaboration can transform tracking efforts across teams.

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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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