Zaposlenost predstavlja jedan od ključnih makroekonomskih pokazatelja svake nacionalne privrede. U savremenim uslovima globalizacije, velike korporacije svoje poslovanje obavljaju na različitim nacionalnim tržištima zapošljavajući veliki broj radno sposobnog stanovništva. Kako rudarenje podataka pronalazi primenu u ekonomskoj sferi, odgovarajuće tehnike i metode se mogu primeniti i kod analize radnog kadra koji predstavlja pokretač svih ekonomskih aktivnosti. U ovom radu nastoji se odgovoriti na sledeće pitanje: da li je moguće predvideti broj stalno zaposlenih radnika u kompanijama na osnovu finansijskih i drugih podataka vezanih za njihovo poslovanje? Za analizu pomenutog problema formiran je skup od 150 kompanija koje pripadaju S&P500 berzanskom indeksu, zajedno sa osam atributa koji su se koristili za određivanje broja stalno zaposlenih radnika. Korištene metode u radu su linearna regresija, k-NN, višeslojni perceptron i stablo odlučivanja. Evaluacione mere modela su prikazane i protumačene.

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