大数据背景下高校图书馆精准化管理策略研究
Research on Precision Management Strategy of College Libraries under the Background of Big Data

在大数据背景下，高校图书馆精准化管理具有提高资源利用率、优化读者服务体验、实现管理流程智能化及提升核心竞争力等目标。然而目前存在数据收集与处理能力不足、数据隐私与安全保护挑战、技术与人才匹配度不高、管理机制与策略创新滞后等问题。为实现精准化管理，可采取构建多维度数据收集与分析体系、实施读者行为分析与需求预测、推动智能化图书管理与服务系统、开展跨领域合作与资源共享机制等策略，并通过技术保障、人才保障、制度保障等措施加以落实。
Under the background of big data, the precision management of college libraries has the goals of improving resource utilisation, optimising readers’ service experience, realising the intelligence of the management process, and enhancing core competitiveness. However, at present, there are problems such as insufficient data collection and processing capabilities, challenges in data privacy and security protection, poor matching of technology and talents, and lagging behind in the innovation of management mechanisms and strategies. In order to achieve precise management, strategies such as building a multi-dimensional data collection and analysis system, implementing readers’ behaviour analysis and demand prediction, promoting intelligent library management and service system, carrying out cross-discipline cooperation and resource sharing mechanisms, etc., can be adopted and implemented through measures such as technological safeguard, talent safeguard, and institutional safeguard.