Real- Time Bi-enhanced Product Performance Intelligence for Driving Sustainable Business Expansion

Abstract

: In volatile markets plagued by regulatory pressures and sustainability challenges, regular product performance monitoring systems have often been characterized by delayed insights, data silos, and poor integration of Environmental, Social, and Governance (ESG) metrics. In this conceptual paper, Real-Time BI-Enhanced Product Performance Intelligence is proposed as a novel framework for driving sustainable business growth. The framework combines the real-time streams of data coming in from different sources—sales, operations, customer feedback, and ESG indicators—into advanced BI processing, producing immediate and actionable KPIs. It attempts to align product performance metrics with sustainability objectives like resource efficiency, carbon emission, and circular economy principles, ultimately feeding into approaches for resilient growth and innovation. On the basis of existing literature on BI evolution, product management, and sustainability theory, the proposed framework captures critical gaps in the existing approaches and makes advancements in theoretical integration by postulating real-time BI as a mediating force between operational performance and sustainable outcomes. Three testable propositions connect real-time analytics with visibility, bolanced decision-making, and sustainable competitive advantage. Practical implications will include recommendations for establishing integrated dashboards, whereas obstacles to implementation, like data privacy, integration costs, and skill gaps will also be examined. Introducing a framework helps to create the basis for further empirical research and provides actionable insights for organizations aspiring to turn a profit while being environmentally and socially responsible in markets with compliance pressures.