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Expert perspectives from our team of data and cloud specialists. Read our latest articles, watch videos, listen to our podcast and read our client success stories.

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407 results · Page 3 of 23

Measurelab awarded Google Cloud Marketing Analytics Specialisation

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

Will Hayes-

BigQuery AI.GENERATE tutorial: turn SQL queries into AI-powered insights

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

Katie Kaczmarek-

GA4 Dataform integration: how Springer Nature modernised analytics with Measurelab

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

Steven Elliott-

How to start forecasting in BigQuery with zero training

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

Katie Kaczmarek-

Webinar: Stop the martech madness! Go composable. Deliver value faster.

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

Will Hayes-