Isn’t this a niche filled by ‘business intelligence’ and ‘data science’? They call it a lot of different things, sure, but they seem to be operating in the same space- at least, they may seem to, to a non-technical executive. An exception is mid-to-small business—I don’t think there’s a lot of penetration there.
In practice, most companies with BI dashboards and data science analytics experience more information overload than before, because they don’t have the human capital to make sense of all that information.
There are limited cases (e.g. weather reporting and website split testing) where the niche is narrow enough that the computer can basically do everything on it’s own, but computers aren’t at the point yet (and likely won’t be for a long time) where they can use generic data to make complex decisions.
I’m deeply interested in this problem.
I’ve got to ask, though.
Isn’t this a niche filled by ‘business intelligence’ and ‘data science’? They call it a lot of different things, sure, but they seem to be operating in the same space- at least, they may seem to, to a non-technical executive. An exception is mid-to-small business—I don’t think there’s a lot of penetration there.
Theoretically, yes.
In practice, most companies with BI dashboards and data science analytics experience more information overload than before, because they don’t have the human capital to make sense of all that information.
There are limited cases (e.g. weather reporting and website split testing) where the niche is narrow enough that the computer can basically do everything on it’s own, but computers aren’t at the point yet (and likely won’t be for a long time) where they can use generic data to make complex decisions.