Formula clerk: career success and Mathematics

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man - a very simple "device", and the algorithm's behavior is described by a simple computer program.Scientist statistics Carly has already taken in developing the contents of the computers of American clerks and now makes far-reaching conclusions about their lives ...

Carly was perhaps the most unusual job in the history of mathematics.Working part-time in at IBM, he has to build a mathematical model of 50 000 of its colleagues.Models 50 000 human beings !?It sounds scary.This, of course, is not a banal collection of profiles in the style "was born, married, retired."Standard "biography" of the average man, which just two divorces and three jobs for Carly is of no interest.Much more important for him - hundreds of small details when a person comes to work, what brand of coffee he drinks at this time of day, how and when to travel, what books to read, sleeping with whom and how often do ill.

«we are not talking about the invasion of privacy," - hastens to assure Carly.Journalist Stephen Baker, author of the recently published book in America "Knowing the number of" calls Carly and similar mathematicians numerati - by analogy with the English literati (scientists -gumanitarii literally "know the letters")."Numerati" ("knowing the numbers") seem evil sorcerers, warlocks, set to "calculate" formula of life and love of unsuspecting citizens.But they speak of themselves as quite innocent and useful technocrats.

Suppose the employer must determine why some employees are making progress, while others are frozen in its development and run into the career ceiling.Then you can select the most successful "Rabotnicki" and, based on the analysis of their data to make a model of an ideal corporate clerk.It is possible, identify patterns, which until then no one suspected.Maybe all successful employees have finished physical and mathematical school and served in the army.Or they married 25 years and live in the district Medvedkovo.Or like the expensive brands of alcohol, partial to pink glasses and Large blondes.Among the huge amounts of data can reveal any connection.Mathematicians do not have to wonder whether there is some essential relationship between woman and successful career.It is important that a few signs may well be a "working ground" for a sample.In any case, the statistical "model of success" will certainly help in the search for new employees, or creating a "perfect team."For example, it will be possible to predict which employees happy together with each other and which claw like cat and dog."If you need to open an office somewhere in Angola, you will only add to our system of data on the budget and the required specialists.Then the program immediately will give the best candidates, and even predict how well they can work together ", - said Karl in the book."Numerati" will determine the time when the good people can be "cloned", "optimal model" of man will be laid in all processes of the company, so that all the rest will be forced to work in the same style as the "top performers".
Alexander Jones (not her real name) - one more book character.During the test the test program created by Carl and his team "model" Jones was one of the most unusual.The fact that Jones, as it turned out, no one writes.The software algorithm allows to analyze not only the behavior of the employee, and his network of contacts.Exploring the archives of correspondence, you can even see the nature of contacts: with whom the employee is rewritten to work with someone "just because."So, Alexander does not contact at least relatively informally almost anyone.Management made the logical conclusion from this: Jones ever going to go away, or is in a long depression.As a result, it turned out that it really was thinking about switching to another company, but it managed to keep by moving to a more interesting site.Such systems allow to explore social relationships may be "all-knowing" assistant eycharov in retaining and motivating staff.

Further more, employees can be broken down by skills and their time - on the hour and minute."Our mathematical algorithms are used to bring the load on an employee to 100%", - scares Stephen Baker.With its model, the company will know when and how an employee can "posachkovat" - and prevent it in advance.That does not sound too pleasing to the "office hamsters?"But nothing can be done.The amount of personal information about each of us accumulates every year, and soon will necessarily people who want to "simulate" our little life.Stephen Baker reveals that the first in the "queue for the data" are our employers.

text is written based on the book by Stephen Baker "Knowing the number» («The Numerati» by Stephen Baker).

Istchonik photo: s.wsj.net

Articles Source: europe.rabota.ru