Discover how integrating ChatGPT and R for automating analytics data quality checks can streamline your analytics process, ensuring reliable insights for informed decision-making. Follow this step-by-step guide to improve data quality and save time with this innovative approach.
Intelligent alerting has been one of the most popular features of Adobe Analytics since its release years ago. It’s impossible to keep an eye on your data 24/7, and alerts are an excellent way to prevent missing out on important trends in your metrics over time. And while there are lots of amazing things you […]
In my last post, I shared how CJA and the new cjar library from Ben Woodard changed the game for analyzing event data in R. However, it’s often not enough to only analyze data – you have to be able to do something with it. In this post, I’m going to show you how to […]
In my last post, I illustrated how to use R with the Adobe Experience Platform (AEP) Query Service to query your raw data with analysis-supercharging tools like dbplyr without having to know any SQL. While I’m a big fanboy of R and dbplyr, if I’m honest, there are some things that SQL and dbplyr just […]
If you haven’t yet heard of Adobe’s Customer Journey Analytics (CJA), it’s a mighty step up from the old world of digital analytics that many of us come from – and it’s completely transforming the way companies analyze and think of their customers’ end to end experience. CJA is powerful in many ways because it […]