
#133 The role of AI in analytics (with Juliana Jackson at Jellyfish)
Dara and Matthew chat with Juliana Jackson on her journey, product mindset, and how AI is shaping modern analytics.
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Dara and Matthew chat with Juliana Jackson on her journey, product mindset, and how AI is shaping modern analytics.

Yali Sassoon joins The Measure Pod to discuss Snowplow’s growth, AI innovation, data challenges, and the future of user experience.

Johan van de Werken joins The Measure Pod to discuss GA4Dataform, BigQuery, and the future of analytics engineering and automation.

In this episode of The Measure Pod, Dara and Matthew sit down with Mark Edmondson, AI Engineer, founder of Sunholo, Aitana, and board member at 8-bit-sheep.

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.

In this 30-minute webinar, learn how to bring structure and sanity to your SQL workflows, without adding complexity. We cover practical

At the start of the year, if you’d asked us whether Measurelab would be standing shoulder to shoulder with Europe’s biggest consultancies by September, we would've been surprised. Not because we don't believe in ourselves, but because these things feel so distant - until suddenly, they’re not. So, here it is: we’ve been awarded the Marketing Analytics Services Partner Specialisation in Google Cloud Partner Advantage. What’s the big deal? In Google’s own words (with the obligatory Zs): “Spec

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.

BigQuery just got a major upgrade, you can now plug directly into Vertex AI using the new AI.GENERATE function. Translation: your analytics data and generative AI are now best friends, and they’re hanging out right inside SQL. That opens up a whole world of new analysis options for GA4 data, but it also raises some questions: * How do you actually set it up? * What’s it good for (and when should you avoid it)? * Why would you batch the query? Let’s walk through it step by step. Step 1: H

The Springer Nature Group is an academic publishing company, with brands dating back to 1842, that advances scientific discovery by publishing robust and insightful research, supporting the development of new areas of knowledge, making ideas and information accessible around the world, and leading the way on open access. The challenge Springer Nature needed to migrate their Universal Analytics dashboards to GA4 data. Their reporting relied on multiple stacked scheduled queries in BigQuery tha
In this episode of The Data Intervention, Mac delves into the significance of first-party data in modern marketing.

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.

In this episode of The Measure Pod, Dara and Matt sit down with Roman Petrochenkov, a seasoned marketing analytics leader with deep expertise in data strategy and measurement.

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.

If you’d told me five years ago that I’d be forecasting product demand using a model trained on 100 billion time points… without writing a single line of ML code… I probably would’ve asked how many coffees you’d had that day ☕️ But its a brand new world. And it’s possible. Let me explain What is TimesFM? TimesFM is a new foundation model from Google, built specifically for time-series forecasting. Think of it like GPT for time, instead of predicting the next word in a sentence, it predicts t

In this episode of The Measure Pod, Dara and Matt are joined by Denis Golubovsky from Stape.io, the team making server-side Google Tag Manager implementation as simple as the click of a button.
In this 30-minute webinar, we use three real-world examples to demonstrate how a composable approach can help you do more with the data and tech you already have - delivering value at speed. We cover three practical examples of how your marketing data warehouse can support better insights and experiences - without the need for more martech. Learn how you can: * Score wins quickly and regularly * Streamline your martech stack * Stop planning and start building Have questions? Reach out to

In this episode of The Measure Pod, Dara and Matt are joined by István Mészáros, founder and CEO of Mitzu - a company who have built a warehouse-native product analytics solution.