Abstract
In today's rapidly evolving business landscape, sustainability has become a critical factor for long-term success. Sustainable Business Intelligence (BI) solutions offer a strategic approach for organizations to integrate advanced tools that not only enhance operational efficiency but also drive long-term growth while minimizing environmental impact. This review provides an overview of the concept of Sustainable BI and outlines its key components, integration of advanced tools, case studies, best practices, challenges, and future trends. Sustainable BI entails the application of BI principles and practices to support sustainable business practices, including environmental stewardship, social responsibility, and economic viability. By collecting, analyzing, and visualizing data from diverse sources, organizations gain insights into their environmental footprint, social impact, and economic performance (Oyinkansola, 2024). Advanced tools such as predictive analytics, machine learning, IoT integration, and blockchain technology further enhance the capabilities of Sustainable BI solutions, enabling organizations to make data-driven decisions that optimize resource usage, reduce waste, and improve overall sustainability performance. Through case studies of companies implementing Sustainable BI, we highlight successful strategies and outcomes achieved through the integration of advanced tools. Best practices for Sustainable BI adoption, including leadership commitment, cross-functional collaboration, and ethical considerations, are discussed to guide organizations in their implementation journey. Additionally, we explore challenges such as data privacy, scalability, and emerging trends shaping the future of Sustainable BI. In conclusion, Sustainable BI represents a holistic approach to business intelligence that aligns with the principles of sustainability and offers immense opportunities for organizations to achieve long-term growth while contributing positively to society and the environment.
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