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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Enhancing HR Management: The Influence of HR Metrics and Analytics on Decision Making |
| Authors Name: | JESSICA DONAWAT , Dr. Sandeep Mathur |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217844
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| Published Paper Id: | IJNRD2404244 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | This paper is focused on the crucial role of HR metrics and analytics in HRM decision making as they have a major impact on this area. Nowadays, running a business requires the top-notch data-deduced strategies to accomplish the goals of managing human resources. Employee metrics and analytics provide a strong backbone for Hr specialists who have ability to assess the success of efforts, identify workforce trends, keep HR strategies in tune with overall business objectives, and make informed decisions about talent management throughout the workflow from the moment hiring is initiated to the concluding employee culmination. While organizations can get the required information by investigating various kinds of HR data, namely HRIS, performance assessment, surveys, and external benchmarking, it is the achievement of key aspects of Human Resource Management that becomes possible this way. In this way, the HR departments acquire the capability to rely on a data-driven approach to evaluate efficiently the utility of Human Resource programs, to properly manage their resources and to select the priorities that lead the organization to success. In addition, the utilization of HR metrics and analytics supports the practice of taking the right decisions based on evidence because the HR analytics process informs the employer about the state of the workplace and the possible difficulties ahead. Through the use of predictive analytics, organizations now have an opportunity to detect a shortage in talent coming and find out, which employees are highly qualified and then take a proactive approach to deal with matters related to employee lifecycle first and not treat the problem when it is too late. Among other things, by means of the effective data management intelligent HR professionals are able to come up with the right strategic approaches, which are in line with the objectives of the organization, and as a result, they have a chance of enhancing long-term success of the organization, as well as increasing its competitiveness and making it more data focused. |
| Keywords: | HR metrics, HR analytics, Human Resource Management (HRM), Talent management and Data-driven decision making |
| Cite Article: | "Enhancing HR Management: The Influence of HR Metrics and Analytics on Decision Making", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.c94-c123, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404244.pdf |
| Downloads: | 00040 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404244 Registration ID: 217844 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: c94-c123 Country: South Delhi, Delhi, India Research Area: Management Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404244 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404244 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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