摘要
Abstract
[Research purpose]This study aims to delve into the key technologies of data resource planning and their application practices in critical areas,with the goal of enhancing organizations'efficiency in managing and utilizing data resources.The way to effectively plan and manage these data resources to maximize information sharing and transfer,providing decision support,stimulating innovative vitality,and building competitive advantages remains an urgent and important issue to address.In light thereof,this study focuses on the core technologies of data resource planning,as well as their application practices in key domains.[Research method]In application practices within key domains,data resource planning and management technologies have demonstrated immense potential and value.This paper first outlines the theoretical methods of data resource planning and management,including their concepts,development history,and theoretical foundations.Building upon this foundation,it delves into three primary data resource planning technologies:data resource planning based on stable information processes,data resource planning based on stable information structures,and data resource planning based on indicator capabilities.By comparing the characteristics and applicable scenarios of these three technologies,the core aspects of data resource planning are revealed.Additionally,this paper discusses the main application safeguards for data resource management and points out that the selection and application of key technologies directly impact the effectiveness of data resource planning.[Research conclusion]Based on this,data resource planning is an important guarantee for improving data management efficiency,and the improvement of the standard system,the selection and application of key technologies directly affect the effectiveness of data resource planning.关键词
数据资源规划/信息资源管理/数据治理/数据质量管理/应用实践Key words
data resource planning/information resource management/data governance/data quality management/application practices
