Is that everybody talks about Google Analytics Club. There’s so much information about how to upgrade. I’m not against the focus of a lot of the videos, straight to the point, get it done and wash your hands of it. Bring in the bushels of produce.
You might find yourself paddling the data stream in the new Google Analytics 4, and it all looks and feels completely different. It’s not just a software upgrade and you go floating “merrily down the stream” crossing your stream metaphors with no consequence. This article is about the core concepts of Google Analytics 4, and how to adapt your thinking, to get the best results.
Google Universal Analytics is being replaced by Google Analytics 4. On July 1st 2023, Universal Analytics properties will stop processing data and some time after that, (probably around Dec 2023) these properties will be deleted. (Src. Google). In this article I wanted to research and explore some of the effects and implications of the new Google Analytics.
Recently I’ve been experimenting with AI generative tools from a technical and workflow perspective. By ingesting the text, images and other digital assets of humanity, these large language and visual models are as much a mirror as an interesting technology.
In my previous article, “Much ado about something”, I discussed the growing popularity of ChatGPT and the potential issues and limitations associated with it. This week, there have been some significant changes to the application that addresses these issues and opens up new possibilities.
The cool thing about AI is that it’s reached the state of general consciousness. Oh not the robots. They’re as dumb as ever. I just mean that everyone’s started talking about it.
I’m not an absolutist when it comes to technology. Everything works some of the time. However, some legacy systems are held together by code that is between 10 to 25 years old, (63 years in one exceptional case). Given some of the ‘kludged’ together code, the market seems pretty OK with a significant slice of ‘broken’.