基于“业、技、数、管”四融合的投资数据质量监控研究  

Research on Investment Data Quality Monitoring Based on the Integration of Business,Technology,Data,and Management

作　　者：杨近兴 孙晓磊 刘辉 Yang Jin-xing;Sun Xiao-lei;Liu Hui(Kunlun Digital Technology Co.,Ltd.,Beijing 102206,China)

机构地区：[1]昆仑数智科技有限责任公司,北京102206

出　　处：《科学与信息化》2025年第5期169-171,共3页Technology and Information

摘　　要：随着经济环境、金融市场和监管政策的日益复杂和数据资源的几何式增长,投资相关数据的集中管理和有效分析成为金融领域的一项重要业务。投资数据的数据源众多、标准不一、集成难度大,在数据加工各环节均对数据质量有极高要求,问题的处理方式也应结合数据本身、相关指标、市场环境和投资偏好等分类讨论。本文聚焦投资数据管理领域,着重探讨如何为数据质量监控赋予更多业务和管理视角,助力企业级信息技术应用与数据资源、业务分析、经营管理的有效融合。With the increasing complexity of economic environments,financial markets,and regulatory policies,as well as the exponential growth of data resources,the centralized management and effective analysis of investment-related data have become a crucial business requirement in the financial sector.Investment data is characterized by diverse sources,inconsistent standards,and high integration difficulty,with stringent data quality requirements at every stage of data processing.The handling of data issues should be categorized based on the data itself,related indicators,market environment,and investment preferences.This paper focuses on the field of investment data management and explores how to incorporate more business and management perspectives into data quality monitoring,thereby facilitating the effective integration of enterprise-level information technology applications with data resources,business analysis,and operational management.

关 键 词：数据质量 数据监控 业技融合 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]