Hr-Strategy, Based On The Application Of Data Mining Algorithms

Present research examines characteristics and practical applicability of big data algorithms and tool in the context of HR-analytics. Тaking into consideration the complexity of managing with large amount of data, the tools and technologies of OLAP systems are considered in the context of using the structure of big data, which will speed up the calculation of HR - metrics for headline indicators. This research designates qualitative and quantity relatives of staff performance in parallel with production business processes. The principal aim of research is exposure of basic key efficiency target works in personnel management, and the selection of alternative solutions by tool type for their calculation. The math of headline indicator are calculated on the basis of liaison protocols for personnel management processes and questions contained in them. Positive points of integration processes between corporate information systems are highlighted, it is suggested to take these factors during building and calculating KPI-indicators, they let to compare similar economic processes, to regard exit of coefficients from permissible limit, to control the effectiveness. The research is based on the comparison of quantitative HR - metrics with the main criterion, which is specified in the indicator. Key objectives and lines of development and control by human resources of OJSC «RZD» are shown in connection with activities of business units of "RZD" holding are shown.