I think it important to differentiate analysis from recommendations. Numbers are numbers - they are data and, absent of errors, fact.
Recommendations are simply opinion. The same data can spawn vastly different opinions, depending on how an individual interprets the data.
Are sales more important than R&D? Is reducing inventory a cost cutting measure? We all have our opinions - as do analysts at investment banks and customers at their dinner tables. Even in this world of AI, as far as I know, nothing can reliably predict the future. Opinion is stating out loud what we think is going to happen - but, no one really knows - at least not yet.
That's why being human is so cool - we all have the same data and yet often come to different conclusions. Only history tells us what actually happens and we'll have to wait until tomorrow (or next month, or. next quarter or next decade) to find out which opinion was most accurate.
It's great to be alive!