Sarah Halzack outlined how LinkedIn analyzed data to better serve its users:

• When making recommendations for jobs individuals would be interested in it considers historical migration patterns. It knows, for example, that somebody from San Francisco is likely to move to New York but not Fresno.
• It can also identify if somebody is soon about to be promoted – and recommend jobs above their current level.
• For corporate clients it can help them identify where to open new offices by informing them where the talent pool they require resides.
• It can also offer rankings that shows corporations how they stack up against their rivals in terms of recruiting and retaining employees.
• The type of device that the individual is using to access LinkedIn affects the kind of information that is presented. Those accessing through mobile platforms are more likely to be in “response mode” rather than “proactive mode”.

Read more about LinkedIn’s recent success and acquisitions, the challenges it faces, how it envisions its technology being used a decade from now, and the problem of noisiness over here.

Source: The Washington Post