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Transforming Corporate Sustainability: Integrating Advanced Analytics and Business Intelligence Into ESG Strategy Implementation
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Author(s): Marcos Komodromos (University of Nicosia, Cyprus), Sofia Anastasiadou (University of Western Macedonia, Greece)and Lamprini Seremeti (Agricultural University of Athens, Greece)
Copyright: 2026
Pages: 36
Source title:
Data-Driven ESG Strategy Implementation Through Business Intelligence
Source Author(s)/Editor(s): Markos Komodromos (University of Nicosia, Cyprus), Lambrini Seremeti (Agricultural University of Athens, Greece), Lazaros Anastasiadis (University of Crete, Greece), Panagiotis Liargovas (University of Peloponnese, Greece)and Sofia Anastasiadou (Univerity of Western Macedonia, Greece)
DOI: 10.4018/979-8-3373-5142-1.ch001
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Abstract
This chapter explores how combining advanced analytics and business intelligence (BI) revolutionises Environmental, Social, and Governance (ESG) strategies. It showcases the move from compliance-led efforts to data-driven, proactive ESG management, powered by AI, machine learning, IoT, and big data. Practical examples from Unilever, IKEA, and Rio Tinto demonstrate how these technologies boost ESG data quality, reporting, and risk management, allowing for real-time monitoring and predictive insights. Despite the benefits, challenges remain, including data fragmentation, lack of standardisation, and regulatory complexity. The chapter stresses the need for robust data governance, cross-functional collaboration, and ongoing improvement. It concludes that harnessing BI and AI is crucial for organisations to meet changing stakeholder expectations, achieve tangible sustainability outcomes, and build long-term resilience in a data-driven business landscape.
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