| Issue |
E3S Web Conf.
Volume 489, 2024
4th International GIRE3D Congress “Participatory and Integrated Management of Water Resources in Arid Zones” (GIRE3D 2023)
|
|
|---|---|---|
| Article Number | 04016 | |
| Number of page(s) | 6 | |
| Section | Numerical Modeling, Remote Sensing, Geomatic & Application of Intelligence Artificielle | |
| DOI | https://doi.org/10.1051/e3sconf/202448904016 | |
| Published online | 09 February 2024 | |
Big Data Analytics for the Moroccan Water Actors: Towards an Adoption Model
1 Systems Engineering Laboratory, Kenitra ENSA, Ibn Tofail University, Morocco
2 Natural Resources Geosciences Laboratory, Kenitra Faculty of Sciences, Ibn Tofail University, Morocco
* Corresponding author: jamal.elhassan@gmail.com
This paper delves into the adoption of Big Data Analytics (BDA) within the Moroccan water management sector, specifically examining data collection, management flow, and decision-making processes. Through insightful interviews with representatives from the public sector responsible for water management, this study investigates the pivotal role of effective data governance in optimizing water resources[1]. Given the centrality of natural resources, particularly water, in national development strategies, the imperative for robust water governance is underscored. The impact of climate change further highlights the need for sufficient data collection and an efficient data management system[2]. In the management of natural resources, the accumulation of extensive data necessitates the application of BDA technology for streamlined processing. While BDA provides a solution for optimal data utilization, this article emphasizes the importance of maintaining control over processing and decision-making to ensure the success of functional and technical designs. The outcomes contribute to the formulation of an adoption model for BDA in the Moroccan water sector, facilitating well-informed and strategic decision-making for sustainable water resource management.
Key words: Big Data Analytics / Water Resources Management / Adoption Model / Data Governance
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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