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407 results · Page 6 of 23

Integrating siloed data: Springer Nature marketing and sales case study

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 The sales and marketing teams depended on incomplete data, which didn’t capture the entire customer journey due to different systems in use. Transactions and re

Mark Rochefort-

Behind the Cloud: Using Generative AI in the GCP

In this episode of Behind the Cloud, Matthew delves into the world of generative AI in the Google Cloud Platform, highlighting how Google has integrated generative AI features into its various services. Matthew explores the ways generative AI can be used within BigQuery, such as generating SQL queries and Python notebooks! Video transcript Introduction to Generative AI in Google Cloud [00:00:00] Matt: Hello and welcome to another episode of Behind the Cloud. Uh, today we’re going to cover g

Matthew Hooson-

The modernisation of marketing and the role of marketing analytics

Navigating the ever-evolving landscape of marketing technology, I've come to terms with a key realisation: marketing analytics is marketing. This acknowledgment hasn't always been easy. Years ago, as a humble web analyst, the lines weren't as blurred. However, with the advent of tools like Google Analytics 4 (GA4), stringent privacy laws such as GDPR, and changing browser policies like those of Safari, the role of a web analyst has transformed significantly. In the old world - us web anal

Daniel Perry-Reed-

Behind the Cloud: GCP foundational best practice

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

Matthew Hooson-

Behind the Cloud: Setting up a Dataform project within BigQuery

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

Matthew Hooson-

Customer Data Platforms (CDPs)

Our take on CDPs We’ve been around long enough to have seen the bandwagon-jumping that inevitably happens with any new tech trend as it travels the hype cycle. Right now, Customer Data Platforms (CDPs) are reaching the peak of inflated expectations - and are at risk of descending into the trough of disillusionment. Measurelab doesn’t resell technology licences and we don’t rake in money from vendor kick-backs. So we’re happy to tell it like it is. If you haven’t already got a CDP, you may not

Matthew Hooson-

Behind the Cloud: Connecting GA4 to BigQuery

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

Matthew Hooson-

Grand Designs: "The Warehouse to CDP conversion"

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

Steven Elliott-