#131 From raw export to insight-ready data (with Johan van de Werken at GA4Dataform)
Full show notes, transcript and AI chatbot - http://bit.ly/47craLCWatch on YouTube - https://youtu.be/lvzrZTee9lY-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Johan van de Werken from GA4Dataform to talk about the evolving world of analytics engineering and data transformation. From his early career journey to his work with BigQuery and large language models, Johan shares insights into building scalable data workflows and the growing demand for learning platforms in analytics. They discuss the origins of Dataform, its connection with dbt, and how it’s enabling analysts to do more with GA4 data. Along the way, they touch on community insights from Superweek and explore how tools like GA4Dataform are reshaping the way teams think about data modeling and automation.-----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.-----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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1:18:09
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1:18:09
#130 GenAI in action: Cloud DevOps and Tagassistant.ai (with Mark Edmondson)
Full show notes, transcript and AI chatbot - http://bit.ly/4gXOEJaWatch on YouTube - https://www.youtube.com/watch?v=dcb_WFxQGZg-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Mark Edmondson, AI Engineer, founder of Sunholo and Aitana, and board member at 8-bit-sheep. They explore the rapidly evolving landscape of AI in business and analytics, from career progression in the age of AI to the practical realities of implementing AI-driven company strategies. Mark shares insights on DevOps, data pipelines, and the distinction between data engineering and data science, while discussing why so many AI projects fail and what it takes to succeed. The conversation tackles the human side of technological change, including productivity expectations, burnout, and how we should be educating future generations for an AI-driven world.-----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.-----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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1:27:53
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1:27:53
#129 The impact of AI on digital analytics and user privacy (with Brian Clifton)
Full show notes, transcript and AI chatbot - http://bit.ly/4msIQbFWatch on YouTube - https://youtu.be/5hchBfk763o00:00:00 – Introduction 00:01:54 – Privacy and data sharing 00:05:16 – AI pilots failure statistics 00:08:09 – Economic impact of automation 00:10:39 – AI usage and income correlation 00:15:12 – Automation versus augmentation in AI 00:18:04 – AI and privacy in analytics 00:21:21 – Google Analytics Individual Qualification 00:25:41 – Data democratisation in analytics 00:30:07 – Google's approach to user privacy 00:30:56 – Privacy and data protection challenges 00:34:00 – AI in user interfaces 00:39:43 – User privacy and AI interaction 00:42:42 – AI and consent complexities 00:44:08 – Copyright and data ownership issues 00:46:31 – Risks to professional journalism 00:50:39 – Creativity through AI automation 00:54:00 – Hyper-targeted data is unnecessary 00:56:39 – Hyper-targeting vs. contextual advertising 01:00:04 – User privacy and data consent 01:03:41 – Creativity and AI collaboration 01:08:14 – Creative process and technology 01:10:06 – Privacy's impact on technology 01:12:47 – AI model transparency concerns-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Brian Clifton, the former Head of Web Analytics at Google (EMEA), author, and founder of Verified-Data.com and Advisor to Piwik PRO. They discuss the intersection of AI, privacy, and analytics, from the evolving role of Google Analytics and data democratisation to the challenges of user consent and data protection, they unpack how privacy-first thinking is shaping the future of measurement. Along the way, they dive into issues like AI in user interfaces, copyright and data ownership, and the risks automation poses to professional journalism. The conversation also covers creativity in the age of AI, from automation and collaboration to the impact of hyper-targeting versus contextual advertising.-----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.-----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!The post #129 The impact of AI on digital analytics and user privacy (with Brian Clifton) appeared first on Measurelab.
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1:14:31
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1:14:31
#128 MCP servers in digital analytics (with Gunnar Griese at 8-bit-sheep)
Full show notes, transcript and AI chatbot - http://bit.ly/45OMaZFWatch on YouTube - https://youtu.be/sFBo_j3cLIEJoin our Dataform webinar on the 11th of September - http://bit.ly/4gfuFFu00:00:00 - Introduction 00:01:22 - News Roundup 00:02:04 - Claude Chrome Pilot and risks 00:06:42 - Lethal trifecta problem 00:08:32 - Image generation advancements 00:12:55 - Competitive image editing software 00:16:03 - Google Translate's new features 00:18:40 - Future of language learning 00:22:39 - Attribution models in digital analytics 00:27:50 - Using MCPs in digital analytics 00:30:20 - MCP servers and LLM integration 00:35:14 - Browser testing with Playwright 00:38:34 - Automated e-commerce tracking implementation 00:40:54 - API call translation challenges 00:45:43 - Customising prompt templates in MCP 00:49:41 - AI functionality and governance balance 00:51:05 - User level access in analytics 00:54:25 - Authentication challenges in MCP 00:58:59 - Customised UI for analytics workflows 01:02:05 - Agent to agent workflows 01:06:51 - Future of chat interfaces in analytics 01:10:46 - AI outsourcing mundane tasks 01:12:40 - Data activation challenges in business-----Episode Summary:In this episode of The Measure Pod, Dara and Matthew sit down with Gunnar Griese from 8-bit-sheep to discuss MCPs and their growing role in digital analytics. From server integration with LLMs to customising prompt templates and tackling authentication, they explore how MCPs are reshaping workflows and access in analytics. Along the way, they touch on related challenges like API translation, automated tracking, and the balance between AI functionality and governance.-----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.-----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!The post #128 MCP servers in digital analytics (with Gunnar Griese at 8-bit-sheep) appeared first on Measurelab.
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1:16:07
#127 Ensuring robust data collection – lessons from Trackingplan (with Josele Perez)
Full show notes, transcript and AI chatbot - http://bit.ly/4fNEBpmWatch on YouTube - https://youtu.be/Bz4YYZCjT6g00:00:00 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-----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.-----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.-----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!The post #127 Ensuring robust data collection – lessons from Trackingplan (with Josele Perez) appeared first on Measurelab.
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.