Optimizing Local Government Decision Support Systems: Policy Innovations in Machine Learning and Business Intelligence

This research analysed the emerging technological tools like ML and BI for enhancing the efficiency of local government DSS in China. As per the multiple cases analysed in the study, it has been found that the use of ML models and BI analysis could significantly improve the decision-making process in the government institutions that could help such organisations in better serving local citizens and overcoming inefficiencies that such organisations were once witnessing. Although Chinese local governments, including Suzhou, Guangzhou, and Hangzhou, have adopted ML models and BI analytics, as per the analysis carried out in the study, the comparative analysis of the three local governments revealed that Guangzhou has been taking most of the advantages of ML and BI tools, while the local government of Suzhou has been witnessing most of the challenges and impediments in accessing the true synergies of the two technologies. It has been found that the government of Guangzhou has not only improved the efficiency of governance through the use of ML and BI tools, but also the government has been leveraging the data-driven policies for resource optimisation, enhanced urban planning and management, and improving transparency of government operations. Although there are some barriers and challenges that are encountered in the execution of ML and BI technologies, the local administration of Guangzhou has successfully overcome most of the challenges and barriers.