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DC Field | Value | Language |
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dc.contributor.author | DIWAKAR, RAJAT PRASAD | - |
dc.date.accessioned | 2021-08-04T09:44:22Z | - |
dc.date.available | 2021-08-04T09:44:22Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/18418 | - |
dc.description.abstract | There is a great scope for management of the human resources present within the ecosystem of an organisation through the use of analytics. Functions in a corporate environment relies on quantitative measurements defined by the pre-requisite techniques identified by the industry, which allows them to identify, measure, analyse, & take corrective measures to increase their efficiency or productivity. As Human resource management has evolved into the spine of an organisation, as it is the only field of study that bridges the gap between the performance of their employees and the strategic objectives (Consolidation of Mission, Vision, & Objectives) of the organisation. Thus, Human Resource Analytics can provide a surgical insight over the general and complex functions of the Human resource managers, allowing them to effectively initiate a micro and macro strategy, and quantitatively measure the hypothesis, eliminating the possibilities of elements of the personal bias defined by an Individual. This paper tries to understand the methodologies and strategies that can be used by Human Resource Analysts to use Statistical methodologies and HR Metrics to identify, analyse, & effectively improve the functions of Human Resource Management through Data Integration, Workforce Analysis & Insight Generation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | DELHI TECHNOLOGICAL UNIVERSITY | en_US |
dc.relation.ispartofseries | TD - 5226; | - |
dc.subject | HR ANALYTICS | en_US |
dc.subject | CORPORATE ECOSYSTEM | en_US |
dc.subject | QUANTITATIVE MEASUREMENTS | en_US |
dc.subject | PRE-REQUISITE TECHNIQUES | en_US |
dc.title | HR ANALYTICS IN A COPORATE ECOSYSTEM | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | MBA |
Files in This Item:
File | Description | Size | Format | |
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2K19DMBA073.pdf | 2.67 MB | Adobe PDF | View/Open |
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