The role of business analysis, ai-enabled insights, and data analytics in enhancing the efficiency of digital transformation in Saudi Arabian organisations

The current research examines the pivotal role of business analysis, AI-powered insights, and data analytics in enhancing the effectiveness of digital transformation initiatives within Saudi Arabian organizations. The study provides context-specific information that is highly valuable to practitioners and policymakers, as it empirically substantiates the complex interactions among these factors. The findings highlight practical initiatives that organizations aiming to achieve successful outcomes from their digital investments and attain a long-term competitive advantage can implement. Although the cross-sectional design used in the quantitative analysis offers valuable insights, it limits the ability to draw definitive causal inferences. The results clearly demonstrate that business analysis, AI-enabled insights, and data analytics, individually, have a strong and positive impact on the successful delivery of digital transformation. Future academic research should consider incorporating longitudinal designs to capture the evolving dynamics of these relationships over time. Additionally, expanding the scope of investigation to include a broader range of nations and industries, as well as emerging technologies such as blockchain and generative AI, would significantly deepen the understanding of enablers of digital transformation.

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Publication Details

Journal
Edelweiss Applied Science and Technology
Published
2025-08-16
DOI
https://doi.org/10.55214/2576-8484.v9i8.9497
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

The role of business analysis, ai-enabled insights, and data analytics in enhancing the efficiency of digital transformation in Saudi Arabian organisations

Salem Alanizan, Anwar Hawsawi
Edelweiss Applied Science and Technology
Organizational and Employee Performance
article

The role of business analysis, ai-enabled insights, and data analytics in enhancing the efficiency of digital transformation in Saudi Arabian organisations

Salem Alanizan, Anwar Hawsawi
article en

Abstract

The current research examines the pivotal role of business analysis, AI-powered insights, and data analytics in enhancing the effectiveness of digital transformation initiatives within Saudi Arabian organizations. The study provides context-specific information that is highly valuable to practitioners and policymakers, as it empirically substantiates the complex interactions among these factors. The findings highlight practical initiatives that organizations aiming to achieve successful outcomes from their digital investments and attain a long-term competitive advantage can implement. Although the cross-sectional design used in the quantitative analysis offers valuable insights, it limits the ability to draw definitive causal inferences. The results clearly demonstrate that business analysis, AI-enabled insights, and data analytics, individually, have a strong and positive impact on the successful delivery of digital transformation. Future academic research should consider incorporating longitudinal designs to capture the evolving dynamics of these relationships over time. Additionally, expanding the scope of investigation to include a broader range of nations and industries, as well as emerging technologies such as blockchain and generative AI, would significantly deepen the understanding of enablers of digital transformation.

Edelweiss Applied Science and TechnologyVol. 9(8)
Saudi Electronic University (SA), University of Business and Technology (SA)
Openalex Percentile: Top 89%
Organizational and Employee Performance
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The role of business analysis, ai-enabled insights, and data analytics in enhancing the efficiency of digital transformation in Saudi Arabian organisations — Salem Alanizan, Anwar Hawsawi · Edelweiss Applied Science and Technology (2025) | TGRS Research Map | TGRS