Data Analytics in ESG-Oriented Strategic Consulting: Drivers, Challenges and Optimization Pathways—A Case Study of Haier

Abstract

Today’s firms must recognize that data analytics are vital to the future of many strategic consulting practices. For global manufacturing giant Haier, advances in ESG practices and performance are crucial amid tightening international requirements, China’s dual carbon goals and organizational optimization needs. In examining the role of data analytics in supporting the ESG transformation and operational optimisation at Haier, the current study will examine the link between digital capabilities and the implementation and management of the ESG performance. The data analysis and ESG performance data provided by the company will be the two primary sources of data, and the case study method will be employed to assess the links between the digital capacity of Haier and the implementation and management of the ESG performance of the company. The findings show that regulatory pressure, market demand and corporate digital transformation drive ESG progress, yet key challenges persist, such as insufficient intraorganisational data-sharing, supply chain sustainability gaps and data fragmentation. Recommendations to enhance Haier’s ESG performance include unified ESG data governance, organisational restructuring, strengthened supplier monitoring and better alignment with international reporting standards. These findings will provide guidance for organisations integrating data analytics into their ESGdriven strategic transformation initiatives.