In Data We Trust: Opportunities & Challenges in Promoting Data-Driven Decision-Making in Organizations

Abstract

This study explores the landscape of data-driven decision-making and the adoption of artificial intelligence in organizations, focusing on the challenges and opportunities encountered in promoting a data-driven culture. Through surveys and interviews with executives and managers, insights were gathered regarding the perceptions and experiences of data-driven strategies and AI technologies. The results highlighted a growing recognition of the benefits of data-driven approaches alongside concerns about cultural barriers and technological integration challenges. Our thesis offers a nuanced understanding of the similarities and discrepancies in perspectives on data-driven decision-making. Future research directions include long-term studies to assess the sustained impact of data-driven strategies, sector-specific investigations to tailor best practices and deeper exploration of ethical considerations in AI adoption. This comprehensive approach contributes to advancing knowledge and practice in data-driven decision-making and AI adoption within organizations.