摘要
随着科技发展和数字化浪潮兴起,企业数字化转型成必然趋势.数字化不仅是技术升级,更是组织、业务和文化变革.数据被视为宝贵资产,有效数据管理推动创新和增长.但多部门、地区和系统的数据碎片化导致集成、分析和应用复杂.为解决此问题,数据标准化和架构标准化成为关键策略.本研究将深入探讨二者在数字化转型中的角色,分析对业务流程、决策支持和风险管理的影响,揭示它们的相互关联.
Abstract
With the development of science and technology and the rise of digitization,the digitization transformation of enterprises has become an inevitable trend.Digitization is not only a technological upgrade,but also an organizational,business,and cultural reform.Data is considered as a valuable asset,and effective data management promotes the innovation and growth.However,data fragmentation across multiple departments,regions,and systems leads to complex integration,analysis,and application.To address this issue,data standardization and architecture standardization become key strategies.This study will delve into their roles in digitization transformation,analyze their impact on business processes,decision support,and risk management,and reveal their interconnections.
NETL
NSTL
万方数据