I just came across this blog and thought it was an interesting point. i disagree. but its worth a discussion :)
Tags: data, science
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@Amy, why do you want to remove P-values?
Interesting debate that cannot be solved with data. And herein lies an interesting challenge. How valuable is data to decision making in business, government and everyday life? I think that is a question "real" data scientist should ponder and research. Others who work with data remain statisticians, business analysts and data pushers.
Those employed in the manipulation of data of course have to protect their brand. Vendors of products need to sell their wares and writers, consultants, conference speakers also have a bias to keep the marketing of the criticalness of data alive.
Suggesting that companies will perish and die without data and data scientist is the use of fear to convince people. The other method, the opportunity sell is also over played in the data sphere. "look what you can do with data?" "You have to be an idiot not to be taking advantage of data", are some of the shrill cries we see.
Are data scientists dead? The first question is "who's asking" and why. Like most questions there is a desired outcome or hypothesis and a "data scientist" would ponder the question and questioner before collecting data to answer the question. The answer lies somewhere perhaps but there are few that present data to support their claims. The answer we get is yes and no based solely on opinion with little data to back up either argument.
Seems kind of ironic that those who profess expertise with data, don't use data to support their arguments. Perhaps there are no data scientists out there?
For those companies that can't identify great data sources (usually external data), process it efficiently or outsource to carefully selected vendors, yes, data science is dead. And maybe these dinosaurs will soon die too. In fact, data science is just at its beginning. The potential applications are countless, and we will see the emergence of new companies leveraging big data that does not even exist yet (they'll create it).
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