And the Manhattan Project ignored by all data scientists and managers: develop a means and effective metric[s] that measures the quality and veracity of all data going into and coming out of the systems. Not a matching relationship check but a genuine means to measure the truth, provenance and "meaningfulness" of data and aggregated pools of it.
And the Manhattan Project ignored by all data scientists and managers: develop a means and effective metric[s] that measures the quality and veracity of all data going into and coming out of the systems. Not a matching relationship check but a genuine means to measure the truth, provenance and "meaningfulness" of data and aggregated pools of it.