Data-Driven Decision-Making amid Uncertainty: Examining OLAP's Mediating Function to Use Business Intelligence Analytics for Entrepreneurship

Abstract

 The enabling function of online analytical processing (OLAP) in using business 
information and analytics (BIA) for entrepreneurial choices is investigated experimentally in this 
study. OLAP's mediation role in indirectly connecting BIA to entrepreneurial success is shown by a 
survey study of 262 telecom managers in Jordan. The work improves academic understanding of 
how multidimensional modelling for analytics translation supports data-driven decision-making in 
the face of ambiguity. Furthermore, practitioners looking to maximise entrepreneurial endeavours 
via intelligent systems integration benefit from the applicable insights on combining BIA with 
online data interpretations. All of the hypotheses were substantiated by the present study's results.