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Allaboina Manisha Yadav, Sunil Bhutada


HR Analytics is a way to amass and evaluate HR data and change the efficiency of an enterprise. Through
developing insight and engagement, HR analytics will maybe add incredible benefit to HR decision-making for workers and
organizations. In this post, we come up with an end-to-end approach to HR analytics that leads to quality data for the
decisions of management. We concentrate on five inclusive issues in the HR department as part of this approach;
accordingly, we present strategies that can restrict these challenges. As noted, the aggregation of several fields creates truly
incipient intuitions: we then plan the data collection that could be a coalescence of data from HR, survey data, and
management. In addition, we interpret the findings in such a manner that HR can make decisions based on facts and not on
convictions; First by running the Resume Parser, we conduct Text Analytics, which definitely screens the resumes and
potentially spares the manual efforts during recruitment; Second, we cluster the data in a Word cloud that helps to recognize
talent. Additionally, to get more insight into the data, we convert the data. We translate the date of birth to age as part o f
transformations and wages to other preferred currency values. Next on the data collected from the employee survey, we
conduct Nostalgic Analytics and later determine the main success metrics. In the end, on an interactive dashboard, we
visualize the information so that HR makes the right decision based on obvious data.


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How to Cite
Allaboina Manisha Yadav, Sunil Bhutada. (2021). DATA-DRIVEN HR ANALYTICS DEPLOYMENT USING DATA SCIENCE. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 1062–1072.
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