International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

HR Analytics and Predictive Modeling: Leveraging Data-Driven Decisions in the Workplace

Author(s) Ilango Kessavane
Country United States
Abstract Human resources cannot rely on intuition alone to make critical workforce decisions. HR analytics and predictive modeling have emerged as powerful tools that enable organizations to leverage data for smarter hiring, improved employee retention, and optimized workforce planning. This white paper explores how businesses are using HR analytics to transform traditional HR functions into data-backed strategies that enhance efficiency, fairness, and employee engagement. It also examines the evolution of HR analytics, from basic reporting to advanced predictive modeling powered by artificial intelligence (AI) and machine learning.
Key trends such as AI-driven recruitment, real-time HR insights, and diversity and inclusion metrics reshape workforce management. The paper breaks down the different types of HR analytics illustrating their role in addressing HR challenges. Implementing HR analytics may not be easy. It’s essential to overcome these barriers while ensuring ethical and transparent use of HR data. By embracing HR analytics, organizations can create a more strategic and people-focused workforce, positioning themselves for long-term success.
Keywords Employee performance, Employee engagement, Predictive analytics, HR functions, workforce management, Data-driven decisions
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-15
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.41898
Short DOI https://doi.org/g9fmxr
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com