Public sector agencies increasingly see artificial intelligence as a way to reshape their operations and services, but first, they must have confidence in their data. Accurate information is crucial to delivering essential services, while poor data quality can have far-reaching and sometimes catastrophic consequences. Few organizations handle as japan whatsapp number data much or as complex data as government agencies, so they must look beyond traditional management techniques to innovative solutions like data quality copilots to enhance data integrity.
Why Data Integrity Matters
The U.S. federal government knows the future of its operations depends on data. In recent years, the government has taken several steps to shift from collecting data to using it as a strategic asset. By launching the 10-year Federal Data Strategy and empowering chief data officers to implement the vision, leaders are working to close the gap between data’s current value and its potential. As they eye more sophisticated automation and artificial intelligence use cases, they must improve data integrity throughout their technology ecosystems.
Data is often fragmented, with different departments and agencies managing their own data sets with technology or policies that make it difficult to integrate or share. Information flows through environments with multiple systems and formats, risking corrosion or loss every time it moves from one database or application to another. Errors such as duplicates, truncation, or missing data can compromise the entire data pipeline.