Data analytics in a privacy-concerned world
指出数据分析和隐私并非矛盾，企业可通过多种方法在不同层面（消费者、中介、企业）执行数据收集、存储、验证、分析和洞察传播等功能，并评估不同分析方法对消费者隐私的保护程度，为研究者和管理者提供未来方向。
Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a widespread sense that data analytics and privacy are contradictory. Yet such a view is too narrow, because firms can implement a wide range of methods that satisfy different degrees of privacy and still enable them to leverage varied data analytics methods. Therefore, the current study specifies different functions related to data analytics and privacy (i.e., data collection, storage, verification, analytics, and dissemination of insights), compares how these functions might be performed at different levels (consumer, intermediary, and firm), outlines how well different analytics methods address consumer privacy, and draws several conclusions, along with future research directions.