In a nutshell, having more data allows the “data to speak for itself,”
instead of relying on unproven assumptions and weak correlations.
How many reasons can you come up with proving the opposite? Are there use cases where complex analytics models beat “more data and more algorithms”?
Original title and link: Why More Data and Simple Algorithms Beat Complex Analytics Models ( ©myNoSQL)