Development of Human Resource Hybrid Descriptive Data Analytics System
Keywords:
Development, Human Resource, Hybrid Descriptive Data Analytics SystemAbstract
This study aimed to develop a hybrid descriptive data analytics system for the Human Resource Management office of a University. The proposed study applied a developmental evaluation design, an approach supporting new technology trends by gathering and evaluating real-time data. The software development process formulated a Hybrid Descriptive Data Analytics System for the Human Resource office, specifically, the RSP and L & D offices. In the aspect of usability, Regular Users had an overall weighted mean of 4.67, "Highly Acceptable" interpretation, and 0.52 SD. RSP had an overall weighted mean of 5.0, "Highly Acceptable" interpretation, and 0 SD. Meanwhile, L & D had a weighted mean of 5.0, "Highly Acceptable" interpretation, and 0 SD. The problems encountered in the current data utilization were constraints to the University's offices to perform their best potential on its daily operations. Moreover, the problems that will be encountered in future data utilization will make a particular office less efficient in responding to the client's request and queries. Lastly, the difficulties encountered in the present system operation were still expensive and still preceding navigation inefficient because of the data's decentralization. Therefore, an online system that will cater to data centralization and eventually improve its efficiency was required. The study determines the need to improve the findings in the current and future data utilization. Hence, the researcher would like to recommend that other offices under the academics, administration, research, and extension should be included in separate research proposals to develop the office's necessary module for integration to the newly developed system.
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