Operations

Data Standardization: Key Challenges in the Digital Transformation of U.S. Manufacturing

As U.S. manufacturers accelerate digital operations, data management and standardization have become increasingly prominent issues. Surveys show that over 60% of companies have established data management strategies, but only 15% can fully execute them; 44% of manufacturing companies report that data volumes have doubled within two years, with expectations of tripling by 2030. AI models rely on accurate, real-time data, and errors at the data source can trigger cascading effects and cause significant losses. Experts point out that there is a widespread gap between AI ambitions and data readiness, and the completeness of data infrastructure will determine the level of intelligent operations a company can achieve.