基于数据元件的领域数据治理工程化路径研究OA

The ongoing digital transformation is fueling enterprise demand to unlock data value with large language models.Yet,this ambition is significantly constrained by privacy issues inherent to domain-specific data,precluding their direct utilization.This research introduces a no-vel,engineered pathway for data governance built upon"Data Component"to resolve this impasse.Data components are defined as intermedi-ate data assets that undergo abstraction and feature transformation for robust de-identification.Our proposed pathway systematically processes raw data,centered on these components,to construct high-quality datasets and knowledge bases for large language model applications.Through empirical validation in the financial sector,we demonstrate the pathway's efficacy and utility in securely releasing data value and accelerating enterprise intelligence transformation.