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.”
Technology purchases and implementations aren’t like buying widgets. A half-baked solution full of “second choice” technologies may end up being unusable to end-users, especially over a prolonged period of time. And cut-rate implementations that are seriously delayed or over-budget can translate into lost revenues, and/or delayed time to market.
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.
With technology’s ability to mine speech patterns of corporate, political, and social leaders, the old proverb; “A careless talker destroys himself”, rings truer than ever.