Data-Driven Decision Making and Its Impact on Organizational Performance in Saudi Enterprises: An Exploratory Study of Current Practices, Challenges, and Contextual Factors
Abstract
This study investigates how analytics capability, governance maturity, and digital readiness influence the effectiveness of data-driven decision making and its impact on organizational performance within Saudi enterprises. Using an exploratory qualitative approach supported by semi-structured interviews and documentary analysis, the research identifies operational practices, barriers, and contextual drivers shaping decision quality and efficiency. Findings indicate that integrated analytics infrastructures enhance transparency, coordination, and operational effectiveness, whereas fragmented systems and limited analytical competencies constrain value realization. A conceptual framework linking analytics capability to performance outcomes is proposed, offering practical recommendations for sustainable digital transformation.
Fields of Study & Subjects
Big Data and Business Intelligence
Information Technology Governance and Strategy
Competitive and Knowledge Intelligence
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN