Archive data fusion is one of the means to realize the value of data economy elements in developing new quality productivity,promoting enterprise and social progress. The integration of archival data for productivity and economic development faces challenges in various aspects such as technology,talent,policies and regulations,especially in terms of data security and privacy protection. This study focuses on exploring the potential risks and issues in the process of archive data fusion,and proposes targeted solutions,including data quality,data privacy,cost control,and other aspects. By exploring theoretical logic and practical strategies,we aim to help realize the value of data fusion,promote productivity development,and advance economic prosperity and social progress.
Archive dataData fusionNew quality productivityEconomic growthData qualityData privacyCost control
万方数据
维普
