Keywords

Data Analytics, Sustainability, ESG, Decision-Making, Analytics Maturity, Responsible Management, Business Intelligence .

Abstract

The recently expanding global focus on sustainability is causing businesses to adopt environmental, social and governance (ESG) considerations within their strategic and operational structures. At the same time, rapidly evolving data analytics technology has transformed business decision making, providing powerful toolkits for managing large and complex data. One key research and application point of the two streams is the intersection between sustainability and data analytics. The research unpacks how data analytics capabilities are associated with sustainable business decision-making, articulating how analytics contributes to more responsible, informed and future-oriented responsive decisions within organizations. This research develops a theoretical foundation linking analytics maturity to sustainable decision outcomes, utilising lenses from information system, strategic management and sustainability literature. Data analytics makes it possible for companies to gather, interpret and use live data in their decisions - accuracy, transparency and immediacy are all bolstered in sustainability-related choices. The research highlights four key mechanisms: (1) improved environmental and social performance measurement; (2) the optimisation of resource efficiency via prescriptive analytics, (3) predictive foresight to enable proactive adaptation to sustainability risks; and (4) greater transparency that strengthens stakeholder accountability and trust. Altogether, these activities transform sustainability into an engine of missional competitive advantage.

Cite this Article

Gesang Putra, Batara Katek, 2026. " Impact of Data Analytics on Sustainable Business Decision-Making", International Journal of Economics, Business, Management Research Intelligence (IJEBMRI) 2(2): 55-69.