Analyzing the Influence of Cloud Business Intelligence on Small and Medium Enterprises A Case Study of Morocco
DOI:
https://doi.org/10.56294/dm2023104Keywords:
Business Intelligence, Cloud Computing, SMEs, Morocco, Homomorphic EncryptionAbstract
Business intelligence (BI) has long been a crucial factor in bolstering organizational competitiveness, offering strategic insights that shape decision-making and propel business expansion. The advent of cloud computing has further amplified data sharing and collaboration. This study advocates for the adoption of Cloud BI as an innovative tool to bolster the economic growth of small- and medium-sized enterprises (SMEs) in Morocco. We emphasize the interconnectedness of these businesses' performance with the overall well-being of the Moroccan economy, underscoring the need for regulatory bodies to prioritize not only financial support but also a keen focus on technological advancements. We explore how technological integration can enhance the competitive edge of SMEs. Finally, we conclude by presenting a framework that incorporates the migration of BI to the cloud within the realm of Cloud BI. Drawing inspiration from prior research, we propose modifications tailored to address the specific concerns of SMEs in embracing cloud BI technology
References
1. S. Khan, B. Zhang, F. Khan, et S. Chen, « Business intelligence in the cloud: A case of Pakistan », dans 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, Beijing, China: IEEE, sept. 2011, p. 536‑540. doi: 10.1109/CCIS.2011.6045126.
2. J. A. Camargo-Perez, A. M. Puentes-Velasquez, et A. L. Sanchez-Perilla, « Integration of big data in small and medium organizations: Business intelligence and cloud computing », J. Phys.: Conf. Ser., vol. 1388, no 1, p. 012029, nov. 2019, doi: 10.1088/1742-6596/1388/1/012029.
3. M. Kasem et E. Hassanein, « Cloud Business Intelligence Survey », International Journal of Computer Applications, vol. 90, févr. 2014, doi: 10.5120/15540-4266.
4. V. Kumar, A. A. Laghari, S. Karim, M. Shakir, et A. A. Brohi, « Comparison of fog computing & cloud computing », Int. J. Math. Sci. Comput, vol. 1, p. 31‑41, 2019.
5. A. Tole, « Cloud Computing and Business Intelligence. », Database Systems Journal, vol. 5, no 4, 2014.
6. D. Puthal, B. P. S. Sahoo, S. Mishra, et S. Swain, « Cloud Computing Features, Issues, and Challenges: A Big Picture », dans 2015 International Conference on Computational Intelligence and Networks, Odisha, India: IEEE, janv. 2015, p. 116‑123. doi: 10.1109/CINE.2015.31.
7. D. Dziembek et L. Ziora, « Cloud-Based Business Intelligence Solutions in the Management of Polish Companies », dans Advances in Information Systems Development, G. C. Silaghi, R. A. Buchmann, V. Niculescu, G. Czibula, C. Barry, M. Lang, H. Linger, et C. Schneider, Éd., dans Lecture Notes in Information Systems and Organisation, vol. 63. Cham: Springer International Publishing, 2023, p. 35‑52. doi: 10.1007/978-3-031-32418-5_3.
8. H. El Ghalbzouri et J. El Bouhdidi, « Integrating Business Intelligence with Cloud Computing: State of the Art and Fundamental Concepts », dans Networking, Intelligent Systems and Security, M. Ben Ahmed, H.-N. L. Teodorescu, T. Mazri, P. Subashini, et A. A. Boudhir, Éd., dans Smart Innovation, Systems and Technologies. Singapore: Springer, 2022, p. 197‑213. doi: 10.1007/978-981-16-3637-0_14.
9. K. Elmalah et M. Nasr, « Cloud Business Intelligence », International Journal of Advanced Networking Applications, vol. 10, p. 4120‑4124, juin 2019, doi: 10.35444/IJANA.2019.100612.
10. Fathi Elshibani, « Benefits of Using Cloud Business Intelligence to Improve Business Maturity - ProQuest ».
11. B. Kocaman, S. Gelper, et F. Langerak, « Till the cloud do us part: Technological disruption and brand retention in the enterprise software industry », International Journal of Research in Marketing, vol. 40, no 2, p. 316‑341, juin 2023, doi: 10.1016/j.ijresmar.2022.11.001.
12. L. Lemrajni, « Comportements des TPME marocaines, et mesures gouvernementales de soutien, face à la crise sanitaire », International Journal of Economics, Management and Finance (IJEMF), vol. 1, no 1, Art. no 1, 2022, doi: 10.5281/zenodo.7536856.
13. Owusu, F. Broni, O. Penu, et R. Boateng, Exploring the Critical Success Factors for Cloud BI Adoption Among Ghanaian SMEs. 2020.
14. S. Mondal, « CLOUD BUSINESS INTELLIGENCE AS A SOLUTION FOR EMPOWERING SMEs », EPRA International Journal of Multidisciplinary Research (IJMR), vol. 8, no 9, Art. no 9, sept. 2022.
15. Juan-Verdejo, B. Surajbali, H. Baars, et H.-G. Kemper, « Moving Business Intelligence to cloud environments », dans 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), avr. 2014, p. 43‑48. doi: 10.1109/INFCOMW.2014.6849166.
16. M. A. Yagoub, A. Laouid, O. Kazar, A. Bounceur, R. Euler, et M. AlShaikh, « An adaptive and efficient fully homomorphic encryption technique », dans Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, dans ICFNDS ’18. New York, NY, USA: Association for Computing Machinery, juin 2018, p. 1‑6. doi: 10.1145/3231053.3231088.
17. Contreras JG, Rodríguez AU, Gaviño AS. Comportamiento Organizacional para el Balance Integral Humano desde la NOM-035 en escenario post-pandemia COVID-19. Revista Científica Empresarial Debe-Haber 2023;1:41-57.
18. Toza JFP, Paniagua DGC. Responsabilidad social empresarial y calidad de servicio en una Caja Municipal de Ahorro y Crédito de la región Tacna. Sincretismo 2021;2.
19. Farhaoui, Y., “Intrusion prevention system inspired immune systems” Indonesian Journal of Electrical Engineering and Computer Science, vol. 2(1), pp. 168–179, 2016.
20. Inastrilla CRA. Data Visualization in the Information Society. Seminars in Medical Writing and Education 2023;2:25-25. https://doi.org/10.56294/mw202325.
21. García ERR, Gasca DFR, Gómez-Cano CA. Importancia de los planes de mejoramiento para los servidores públicos de la gobernación del Caquetá en la vigencia 2020 - 2021. Revista Científica Empresarial Debe-Haber 2023;1:03-18.
22. Alaoui, S.S., and all. "Hate Speech Detection Using Text Mining and Machine Learning", International Journal of Decision Support System Technology, 2022, 14(1), 80. DOI: 10.4018/IJDSST.286680
23. Alaoui, S.S., and all. ,"Data openness for efficient e-governance in the age of big data", International Journal of Cloud Computing, 2021, 10(5-6), pp. 522–532, https://doi.org/10.1504/IJCC.2021.120391
24. El Mouatasim, A., and all. "Nesterov Step Reduced Gradient Algorithm for Convex Programming Problems", Lecture Notes in Networks and Systems, 2020, 81, pp. 140–148. https://doi.org/10.1007/978-3-030-23672-4_11
25. Tarik, A., Farhaoui, Y."Recommender System for Orientation Student" Lecture Notes in Networks and Systems, 2020, 81, pp. 367–370. https://doi.org/10.1007/978-3-030-23672-4_27
26. Sossi Alaoui, S., and all. "A comparative study of the four well-known classification algorithms in data mining", Lecture Notes in Networks and Systems, 2018, 25, pp. 362–373. https://doi.org/10.1007/978-3-319-69137-4_32
27. Farhaoui, Y."Teaching Computer Sciences in Morocco: An Overview", IT Professional, 2017, 19(4), pp. 12–15, 8012307. DOI: 10.1109/MITP.2017.3051325
28. Fuentes-Ormachea GR, Chalco-Quispitupa J, Millones-Liza DY. Empowerment como herramienta estratégica de mejora productiva en las municipalidades de Lima Metropolitana. Revista Científica Empresarial Debe-Haber 2023;1:19-34.
29. Sandhya Devi RS, Vijay Kumar VR, Sivakumar P. EfficientNetV2 Model for Plant Disease Classification and Pest Recognition. 2023;45(2):2249-2263. https://doi.org/10.32604/csse.2023.032231.
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