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Exploring historical data trend analysis in the Chemical Sector Occupational Skills Forecast Tool

Domaine:

socioeconomiceducation

Type de record:

paper
Créateur:
ArnMph
Éditeur:
Eme
Hôte:
The Chemical Sector Occupational Skills Forecast Tool, developed by a multidisciplinary team from the University of Johannesburg and the Chemical Industries Education and Training Authority (CHIETA), represents a significant advancement in workforce planning for South Africa's chemical industry. This tool was designed to address the growing need for accurate and comprehensive occupational forecasting, providing users with the ability to analyse historical trends, understand key variables influencing employment, and predict future workforce needs. Drawing on data from 2016 to 2023, the tool integrates industry-standard classifications to ensure consistency and reliability in its predictions. Key features include a user-friendly interface for selecting specific occupational specialisations, advanced trend analysis capabilities, and the ability to perform correlation and predictive analyses using models such as ARIMA. The tool's capacity to identify and visualise shifts in occupational demands, influenced by factors such as gender, race, and employment status, empowers stakeholders to make informed decisions that align educational initiatives with labor market needs. This chapter outlines the development process, methodological framework, and practical applications of the tool, highlighting its role in supporting strategic workforce planning and promoting inclusivity and resilience within the chemical sector. By aligning training programmes with the dynamic needs of the industry, the tool contributes to fostering a well-prepared workforce equipped to meet future challenges.

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doi.org