Harnessing the Power of Cloud-Based Big Data Analytics for E-Government Advancement in Morocco: A Catalyst for Development

Abstract

In response to economic, political, and technological stimuli, governments across the globe are progressively embracing digital transformation to devise innovative digital solutions. Despite these advancements, challenges persist in the integration of information resources, including deficiencies in government information systems and threats to network and information security. This paper investigates a novel algorithm for the filling and classification of big data within E-government systems, which comprises data management and governance, cultural and industrial shifts tied to human resource development, and data exchange protocols. A cloud computing environment serves as the infrastructure for constructing an E-government big data intelligence system. The system enables parallel data processing and classification via decision trees, thereby promoting the efficacious and sustainable employment of big data analytics in policy formulation and digital innovation. Additionally, the paper delineates the hurdles and issues that confront these agencies, and proposes potential solutions to augment citizen satisfaction and to deliver value within and beyond governmental sectors. The findings suggest that the integration of big data technologies in E-government presents an effective strategy for the provision of interactive services, thereby addressing citizens' demands for enhanced services.