Hi everyone,
I work in banking and our team does MI reporting. We've recently started using Alteryx to see what type of insights in can provide, so I am quite new to Alteryx.
The first test case: I have a dataset with a list of clients and how many times they logged on to the banking app in the quarter. I have 4 quarters of information.
Additionally I have access to a wide range of other data like revenue per client, etc.
The ask is to use the login data to predict/flag when clients are at risk of leaving the platform.
It seems to me like too few data points to 'predict' but would like to see what other insights can come from this.
Are there any good suggestions of how this data can be used?
Thank you very much