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Data Analysis
Data analysis techniques, statistical methods, and analytical insights (135 posts)
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The problem with Agentic Analytics
An AI agent will answer any question about your data, confidently and often wrongly. Agentic analytics works only on a governed semantic layer. Here is why.

Clearing 2026: why UK universities need recruitment intelligence
UK universities face a deficit crisis. Student Recruitment Intelligence can transform Clearing from chaos to precision.

#134 Building AI agents, from consciousness to collaboration (with Daniel Hulme at WPP)
AI expert Daniel Hulme, founder of Satalia, shares his journey from UCL PhD to entrepreneur, discussing AI, consciousness & deep tech.

#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.

#132 The impact of AI on digital experience (with Yali Sassoon at Snowplow)
Yali Sassoon joins The Measure Pod to discuss Snowplow’s growth, AI innovation, data challenges, and the future of user experience.

#131 From raw export to insight-ready data (with Johan van de Werken at GA4Dataform)
Johan van de Werken joins The Measure Pod to discuss GA4Dataform, BigQuery, and the future of analytics engineering and automation.

#130 GenAI in action: Cloud DevOps and Tagassistant.ai (with Mark Edmondson)
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.

#129 The impact of AI on digital analytics and user privacy (with Brian Clifton)
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.

#128 MCP servers in digital analytics (with Gunnar Griese at 8-bit-sheep)
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.

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

#126 First-party data strategy - a client side perspective (with Roman Petrochenkov at Carwow)
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.

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

#123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu)
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.

#122 Digital transformation in the age of AI (with Antony Mayfield at Brilliant Noise)
In this episode of The Measure Pod, Dara and Mattew are joined by Antony Mayfield to talk about what 15+ years of digital transformation work actually looks like and how it’s changed.

#121 Using Dataform and DBT in modern analytics (with Verónica Delgado-Benito at Springer Nature)
In this episode of The Measure Pod, Dara and Matt are joined by Verónica Delgado-Benito to chat through her journey from molecular biology PhD to data analyst at Springer Nature.

#120 Marketing analytics updates and a BigQuery health check
In this episode of The Measure Pod, Dara and Matt dive into a whole mix of marketing analytics news and musings. From new BigQuery features and GA4 updates to ChatGPT integrations and data quality best practices.

Easy ways to prepare your BigQuery warehouse for AI
You’ve probably heard that AI is coming to make our lives easier, especially in tools like BigQuery. But here’s the thing: AI isn't magic. If you want it to be accurate and useful, you need to set it up for success. One of the best ways to do that? Improve the metadata in your BigQuery warehouse. Metadata is like the index or contents page in a book, it quickly tells you exactly what’s inside and where to find it. Creating clear metadata means AI can more easily understand your data warehouse

Data pipeline optimisation with Google Cloud and Dataform
In our recent engagement with a client, we went on a journey to transform their data pipelines, tackling inefficiencies in performance and cost within their Google Cloud BigQuery environment. Our efforts culminated in a comprehensive optimisation strategy that used Dataform, improved SQL practices, and implemented tailored solutions for significant performance gains and cost savings. Here’s a deep dive into the highlights of our project. Identifying inefficiencies in BigQuery workflows We beg


