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Analysis of the role of data driven decision making in sustainability strategies

Writer's picture: Sylvain Richer de ForgesSylvain Richer de Forges

In today’s complex business landscape, data-driven decision-making has become crucial, especially when developing a robust corporate sustainability strategy.




 Companies are increasingly relying on internal data analysis to navigate environmental, social, and governance (ESG) challenges. According to Deloitte, 81% of companies acknowledge that data analytics is critical for effective sustainability strategy planning.



Accurate internal data helps identify resource inefficiencies, reduce waste, and better understand carbon footprints. For instance, companies that utilize real-time data monitoring can achieve up to a 20% reduction in energy costs, as shown in a report by McKinsey.



Moreover, relying on precise internal data builds credibility. A KPMG survey revealed that 62% of stakeholders demand transparent, data-backed sustainability reports, highlighting how internal insights enhance accountability.



It's clear: organizations that harness the power of internal data to make management decisions are better equipped to lead in sustainability and demonstrate tangible impact.

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