Data-Driven Decision Making and Its Impact on Organizational Performance in Saudi Enterprises: An Exploratory Study of Current Practices, Challenges, and Contextual Factors

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Authors: Wan Nur Tasnim Hinti Wan Hussin Ahmad Ismail Ramadan Abuel Afieh
Cited by: 0

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