Earlier quoted context omitted.
> There were some, and it’s super interesting to look through those graphs, however retrospectively, it did not justify the hundreds of hours I invested in this project. This is my general feeling towards all quantified-self projects. Perhaps it creates interesting insights for some people, but I can imagine the kinds of conclusions I'd actually get from it will be things like "I'm happier on sunny days" and I'll say…
You’ve verbalized more about data science than most executives ever will.
As a side note, people tend to be very unimaginative in the initial stages of data analysis: very often they just take the data they have instead of thinking what data they need to have. And obviously the results correspond to the initial limitations. So much effort is put into data munging and other stages when your inputs are incomplete or plain irrelevant to what your business actually needs.