When it comes to processing and
organizing huge amounts of unstructured and heterogeneous information,
technologies which are capable of doing such are growing at the moment. In the
department of human resource management, the emergence of big data related with
HR is taking place. With the use of analyzing big data and intelligent methods,
companies can simply develop a strong advantage in the competition of
recruitment which leads to the development of business. Considering big data,
its most evident element is actually the volume which always being produced by
individuals using devices which are smart and interlinked with the network.
Every single moment, the data
increases and data is encouraged to be stored and exploited. Using efficient
and modern technology allows effective storage of data along with queries and
focusing upon the data’s use as a whole. When big data is concerned, it
generally walks together with analytics. After all, the main aim of gathering
data is to analyze and process the data for achieving the information which
necessary for the firm also referred as value. With the utilization of big
data, opportunities and chances concerning skill and talent assessment are
provided. Using big data, the methods of evaluation have been optimized and at
the moment, it is quite possible for building models of competency. With various
modern technologies and huge amounts of employee data, performance of employees
can be evaluated by organizations. Such types of competency models can be
actually explored in the process of recruitment by predicting the performance
of job.
Furthermore with the utilization
of big data, it is not impossible for understanding and predicting career
interests of employees in a higher way through connecting career choices which
are individual and data with planning. Thus, internal recruitment can be helped
by big data through offering career guidance which is personalized and
exploring paths of career. In the process, the employee turnover is also
reduced. Additionally, big data can also help in predicting trends.