By Scott Shadley
Technology industry analyst Charles Araujo best summarizes the early approach to big data as “Collect it all, sort it out later”. The focus was (and has continued to be for many companies) a competition of collection and storage of
petabyte-scale data with little to no emphasis on the “and then what” question. Besides the obvious problem of data having little to no intrinsic value on its own, the fact is that data is not a finite entity that a company can just capture and store. Data is growing and, as Charles Araujo explains, IT and business leaders are finding they must shift from a focus on operational and transformative outcomes to examine the value of the data itself, and AI initiatives required to make sense of it. Yes, collect and store the data, AND leverage that data for your organization.
