Multidimensional Forecasting and Analysis: Exploring Moroccan Learning Data Analytics in Business, Environment, and Sustainability
DOI:
https://doi.org/10.3991/itdaf.v1i3.40353Keywords:
Multidimensional forecasting, Learning capabilities, Hybrid educational setup, Decision support systemsAbstract
As humans and machines increasingly interact within hybrid physical-digital spaces, researchers have developed data analytics procedures to understand and enhance learning capabilities while supporting human development. This study investigates the application of data analytics in the Moroccan context, a nation characterized by moderate technological advancement, to establish a framework for countries experiencing technological growth. We present our findings from a specific application of data analytics within Morocco’s hybrid educational setup and introduce a multidimensional forecasting and analysis model, encompassing business, environment, and sustainability domains. This model aims to expand the understanding and potential applications of analytics beyond technologically advanced nations, advocating for its integration across various sectors to foster global progress and innovation.
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Copyright (c) 2023 Mohamed HOUSNI
This work is licensed under a Creative Commons Attribution 4.0 International License.