Undoubtedly you’ve heard it all before: “Hadoop is the next big thing, why waste your time with a relational database?” or “Hadoop is really only good for the following things” or “Our NoSQL database scales, other solutions don’t.” Invariably, there are hundreds of additional arguments proffered by big data vendors and technology zealots inhabiting organizations…
The mantra of “let the data speak for themselves” is falling by the wayside and ideology promotion is zooming down the fast lane. There are dangers to reputations, companies and global economies when researchers and/or statisticians either see what they want to see—despite the data, or worse, gently massage data to get “the right results.”
While reliance on experience/intuition to hire “the right person” is rife with biases, there’s also danger in over-reliance on HR analytics to find and cultivate the ultimate workforce.
While business cultures like to profess “In God we trust; all others must bring data,” the reality is that human beings still like a gripping narrative, and emotional stories can sometimes override what seems like the best decision on paper.
Good science isn’t without question, discovery and even a bit of “humility”—something that scientists of all stripes (chemists, mathematicians, physicists and yes even data scientists) should remember.