Core Insights - The article discusses the application of big data technology in combating corruption and enhancing the efficiency of disciplinary inspection and supervision in Wuzhou, Guangxi [2][3]. Group 1: Implementation of Big Data in Anti-Corruption - Wuzhou's disciplinary inspection and supervision commission has utilized big data analysis to identify irregularities in vehicle inspection agencies, revealing potential collusion between public officials and these agencies [2]. - The commission has established a big data supervision working group to enhance data modeling and analysis, ensuring a precise connection between technology and supervision [3][4]. - The use of big data has led to the identification of key evidence in cases involving high-ranking officials, such as the former chairman of a county investment company, facilitating the investigation process [3][5]. Group 2: Case Studies and Outcomes - In the investigation of a former deputy director of the emergency management bureau, big data analysis helped uncover hidden bribery practices, leading to the official's expulsion from the party and legal consequences [5]. - The commission has shifted from single data analysis to comprehensive data analysis for case handling, demonstrating a proactive approach in utilizing data for broader investigations [4][5]. - Continuous training and capacity building for disciplinary inspection personnel in digital literacy are emphasized to enhance their practical application of big data in investigations [5].