Q: I'm curious about anomaly detection.
It sounds promising and interesting. But it also sounds like a potentially time-sucking paranoia trigger, lol. Can you give examples of actionable steps one might take when being confronted with such anomaly data.
I think about Anomaly detection as a safety guard that allows you to know when there are changes in your data. Our days are getting busier and there will always be things that slip through the crack. Nobody likes getting a call from a client that has noticed an error when you are being paid to take care of it for them.
I've written a few different Blogs on the topic of Anomaly detection that I hope will be helpful:
- https://www.jepto.com/blog/google-analytics-is-better-with-anomaly-detection
- https://www.jepto.com/blog/fitting-anomaly-detection-into-your-workflow