The usual big-data story leaves out crucial bits. We hear about the “what” — big, huge data of all kinds. We hear about the “when” — now and coming soon. We hear about the “how” — Hadoop with helpers. But we almost never hear about the “who” and the “why.” Who’s bothering to analyze all this data, and why?
Future data analysts will be a “bond” between business and IT, says Diego Klabjan, director of the new Master of Science in Analytics program at Northwestern University. The first cohort starts next month.
Many data repositories are fragile, held together with shaky, ad libbed fixes, observes a busy consultant. Free access for data analysts scares the hell out of administrators.
In his years in BI, says QlikTech VP of product management Donald Farmer, “I’ve never seen a project fail for purely technical reasons. The organizational aspect was always the principal cause of failure.” Yet tools remain the industry’s obsession.