Applying Workforce Intelligence Clustering on Egyptian Governorates

摘要

Workforce Intelligence incorporates various tools that capture and record details about the organizations' workforce and relevant activities, such as employees' skills, experience, education, job description and other demographic data. In addition, it correlates the enterprises' operational systems with workforce activities to increase the efficiency of the analysis process and rationalize decision-making. It has several usages such as workforce planning and optimization, transitions, analytics and productivity. Since Egypt is currently focusing on the human capital because of its vital role in achieving Egypt's 2030 vision, this study analyzes national workforce data, classified according to governorates, and applies unsupervised clustering technique to portray employees' profile. The research conducts profiling of the twenty-seven Egyptian governorates using multi-dimensional mining with fifty-four dimensions. It addresses workforce distribution of employment, unemployment, industries and educational levels data. The resulted clustering attributes will help in the workforce planning and optimization in Egypt.