Predictive Analytics on Employees Performance

@article{1708755,
      author = {Swati Raj},
      title = {Predictive Analytics on Employees Performance},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {11},
      pages = {1857-1860},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708755.pdf},
      abstract = {This research explores the application of predictive analytics in evaluating and enhancing employee performance in organizations. Using a primary data questionnaire distributed to 150 employees, the study leverages regression analysis, ANOVA, and clustering to identify key predictors of high performance. Results reveal that timely feedback, analytics-based recommendations, and clear, data-driven goals are the most significant drivers of productivity. The study concludes with practical recommendations for HR leaders and future research directions.},
      month = {May},
  }