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Big Data Platforms and Cloud-Based Analytics for Enterprise Digital Transformation in Saudi Vision 2030
Subject area: Science,Engineering and Technology · Area of research: Cloud-Based Analytics
Abstract
Saudi Arabia's Vision 2030 has elevated enterprise digital transformation from a standalone IT initiative to a strategic driver of productivity, innovation, service quality, and economic development. Big data platforms and cloud-based analytics enable this shift by combining varied data, scaling analytics, and supporting knowledgeable decision-making. This review integrates evidence from 2020 to 2025 to clarify how these technologies generate enterprise value and the factors influencing adoption in Saudi Arabia. A structured integrative review included 30 peer-reviewed and policy sources, coded by platform architecture, analytics capability, adoption, governance, innovation, and Vision 2030 alignment. The results show that technology investment alone is not sufficient. Value is realized when elastic infrastructure, governed data, analytical skills, digital frameworks, and decision processes operate cohesively. Saudi evidence stresses the importance of organizational readiness, management support, security, skills, regulation, and provider trust. This paper describes a five-layer framework uniting data foundations, cloud platforms, analytics intelligence, organizational capabilities, and measurable business outcomes. Saudi enterprises should approach cloud analytics as an operating model, embedding governance, cybersecurity, cost accountability, interoperability, and workforce development from the outset.
Keywords
big data platforms; cloud analytics; enterprise digital transformation; saudi vision 2030; data governance; analytics capability; cloud computing
How to cite this paper
@article{1722403,
author = {Adnan Anwar Shaikh},
title = {Big Data Platforms and Cloud-Based Analytics for Enterprise Digital Transformation in Saudi Vision 2030},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {2},
pages = {2200-2212},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722403.pdf},
abstract = {Saudi Arabia's Vision 2030 has elevated enterprise digital transformation from a standalone IT initiative to a strategic driver of productivity, innovation, service quality, and economic development. Big data platforms and cloud-based analytics enable this shift by combining varied data, scaling analytics, and supporting knowledgeable decision-making. This review integrates evidence from 2020 to 2025 to clarify how these technologies generate enterprise value and the factors influencing adoption in Saudi Arabia. A structured integrative review included 30 peer-reviewed and policy sources, coded by platform architecture, analytics capability, adoption, governance, innovation, and Vision 2030 alignment. The results show that technology investment alone is not sufficient. Value is realized when elastic infrastructure, governed data, analytical skills, digital frameworks, and decision processes operate cohesively. Saudi evidence stresses the importance of organizational readiness, management support, security, skills, regulation, and provider trust. This paper describes a five-layer framework uniting data foundations, cloud platforms, analytics intelligence, organizational capabilities, and measurable business outcomes. Saudi enterprises should approach cloud analytics as an operating model, embedding governance, cybersecurity, cost accountability, interoperability, and workforce development from the outset.},
keywords = {big data platforms; cloud analytics; enterprise digital transformation; saudi vision 2030; data governance; analytics capability; cloud computing},
month = {August},
}