
#103 Modern marketing (with Ken Williams @ DiveTeam)
In this week's episode of The Measure Pod, Dan and Bhav are joined by Ken Williams from DiveTeam to discuss modern marketing and measurement strategy.
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Google BigQuery data warehouse, SQL queries, and analytics data processing (185 posts)
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In this week's episode of The Measure Pod, Dan and Bhav are joined by Ken Williams from DiveTeam to discuss modern marketing and measurement strategy.

There’s a lot of advice right now on why you should adopt and use Google BigQuery for data analytics. But what is SQL? Is it for you? And how can you convince budget holders that it is a good idea?

Data is a journey, not a destination. Learn how to navigate the complexities of data work by embracing flexibility and continuous improvement. Dive into practical insights on leveraging existing tools, investing in people, and appreciating partial data.

In this week's episode of The Measure Pod, Dan and Bhav discuss the concept of treating data as a journey, not just a destination.

In this episode of Behind the Cloud, Matt explains how to organise GCP projects by specific use cases, how to automate processes, establish clear naming conventions, and follow best practices around security, tagging, and more. Video transcript Introduction [00:00:00] Matthew: Hello and welcome to another episode of Behind the Cloud. We’ve had a little bit of a brief hiatus but now we’re back and we’re going to do another series of videos. Today we’re going to kick off with what arguably sh

In this episode of Behind the Cloud, Matthew demonstrates how to enable and set up a Dataform project within BigQuery, connect it to GitHub, and initialise the workspace for building a Dataform project. Matt walks us through enabling BigQuery, creating a repository, setting up the region, and using service accounts. Video transcript Introduction to Dataform in BigQuery [00:00:00] Matt: Hello and welcome to this week’s behind the cloud sticking with the practical theme today. We’re going to

In this episode of Behind the Cloud, Matt explores the practical side of Google Analytics 4 (GA4) and its free export feature to BigQuery. We learn about export limits, batch exports, and streaming options for GA4 data. The episode also touches on setting up BigQuery within a Google Cloud project. Video transcript Introduction to GA4 and BigQuery Export [00:00:00] Matt: Hello and welcome back to Behind the Cloud. This week we’re going to delve into something a little bit more practical. Whe

Opening scene: A large meeting room at BigCorp. A systems architecture diagram with lots of boxes and arrows flowing from left to right fills a large whiteboard. Kelvin joins Jan (marketing director) and Joe (head of data) at the table, earnest expression, hands clasped in front of him. Kelvin: So, Jan, Joe, tell me a bit about the history of the warehouse. Joe: Well, going way back, it was originally an on-prem system, which was replaced back in 2019 with an Oracle data warehouse as part of a

In this week's episode of The Measure Pod we spoke with Glenn Vanderlinden, co-founder of Human37. We spoke about CDP implementations, and whether or not they are ROI positive.

In this episode of Behind the Cloud, Matt discusses Dataform, what it is, and why it matters. Video transcript Cloud Data Warehousing [00:00:00] Matt: Welcome to Behind the Cloud. Today we’re exploring data form, but first a little bit of scene setting. Over the past number of years, cloud computing, specifically cloud data warehousing, has advanced significantly. Huge amounts of data can be queried in seconds. The scalability of the platforms is near infinite from both a performance and a

In this week's episode of The Measure Pod we spoke with Gaurav Tiwari, ex-Meta, currently working as an Engineering Manager at Spotify.

In this week's episode of The Measure Pod we spoke with David Jayatillake, co-founder of Delphi and organiser of the London Analytics Meetup.

In this week's episode of The Measure Pod we spoke with Timo Dechau, a product manager and analyst with a unique perspective on event tracking.

In this episode of Behind the Cloud, Matt discusses the essentials of Google Cloud’s BigQuery. Everything from project structure, data handling, to understanding the costs involved. Video transcript [00:00:00] Matt: Hello and welcome to Behind the Cloud. Today we’re going to be diving into the nuts and bolts of Google Cloud’s BigQuery and how it can help to revolutionise your marketing analytics. Whether you’re really familiar with the cloud or this is all new to you, this episode aims to gui

In this episode of Behind the Cloud, Matthew aims to answer the question: what are the Google Cloud Platform tools of the marketing analytics trade? And more specifically, what are the tools that you should care about in Google Cloud. For a more in-depth write up on Google Cloud tools, check out Matt’s blog post. Video transcript [00:00:00] Matt: Hello and welcome to today’s episode of Behind the Cloud. We’re going to try and answer the question, what are the GCP tools of the marketing analyt

In this week's episode of The Measure Pod we welcomed Rick Dronkers back from Data to Value. We talked about all things CDP and GA4.

Episode Summary: In this weeks sound bite (from the archive) Dan & Dara spoke with Johan van de Werken from GA4BigQuery.com. In this clip taken from episode 72 we discuss the use cases for using the GA4 interface over BigQuery data, and some thoughts around where that's going in the future. Full e

2023 was a momentous year for Measurelab. It marked a decade of delivering analytics excellence to the world, a year when we were named one of the UK’s best places to work and became a fully-certified GCP partner, a summer that saw the sunsetting of Universal Analytics, followed by the new dawn of generative AI and the beginning of an augmented analytics era. Into the sunset From the very beginning of January, right up to the deprecation deadline of July 1st, we were swamped with GA4 migratio