Multidimensional Forecasting and Analysis: Exploring Moroccan Learning Data Analytics in Business, Environment, and Sustainability

Authors

  • Mohamed Housni Laboratory of information technologies and modeling (LTIM), Faculty of Sciences Ben M'Sick, University HASSAN II of Casablanca, Morocco https://orcid.org/0000-0001-6199-5249

DOI:

https://doi.org/10.3991/itdaf.v1i3.40353

Keywords:

Multidimensional forecasting, Learning capabilities, Hybrid educational setup, Decision support systems

Abstract


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.

Author Biography

Mohamed Housni, Laboratory of information technologies and modeling (LTIM), Faculty of Sciences Ben M'Sick, University HASSAN II of Casablanca, Morocco

Ph.D. Student, Mathematics and Computer Sciences Department

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Published

2023-11-14

How to Cite

Housni, M. (2023). Multidimensional Forecasting and Analysis: Exploring Moroccan Learning Data Analytics in Business, Environment, and Sustainability. IETI Transactions on Data Analysis and Forecasting (iTDAF), 1(3), pp. 75–82. https://doi.org/10.3991/itdaf.v1i3.40353

Issue

Section

Short Papers