毕马威：2025年数据质量“三位一体”：赋能AI成功的数据质量新兴要务研究报告（英文版）

Data quality issues are among theleading causes of biased Al modelsand poor performance outcomes.For Al to deliver on itstransformative promise,organisations must first build asolid data foundation. Clean,accurate, and reliable data is thefuel that powers effective,trustworthy Al.Neglecting data quality beforemodel build undermines the entireanalytics strategy. Poor-qualitydata erodes trust in insights,leading to flawed decisions andreputational risk. lt inflates coststhrough rework, delays,