USING PREDICTIVE ANALYTICS IN PLANNING FUTURE HUMAN RESOURCE NEEDS: AN APPLIED STUDY ON PALESTINE TELECOMMUNICATIONS COMPANY (PALTEL)

Abstract

This study explores the role of predictive analytics in planning the future human resource needs of Palestine Telecommunications Company (PalTel). The primary aim is to examine how PalTel uses predictive tools to optimize human resource management, improve decision-making processes, and forecast future staffing requirements. By employing predictive analytics, companies can better plan for future skill gaps, employee turnover, and recruitment needs. The research highlights the significance of data-driven decision-making in human resource planning and investigates how PalTel applies these techniques to align with its organizational goals.

The study employs a structured questionnaire, gathering insights from 200 employees across various departments. The survey focuses on three key areas: the use of predictive analytics in human resource planning, its impact on organizational performance, and the challenges and opportunities that arise from adopting such technology. The findings show that a significant percentage of PalTel employees believe that predictive analytics has positively impacted decision-making, performance management, and talent development. However, challenges such as the availability of accurate data and the need for specialized training were also identified.

The study concludes by offering recommendations for enhancing the implementation of predictive analytics, including improved training programs, better data management, and investment in technological infrastructure. The findings have significant implications for how companies can leverage predictive analytics to enhance human resource planning and improve organizational performance.