The Saudi Data and Artificial Intelligence Authority (SDAIA) highlighted data quality as a critical foundation for enhancing information reliability, boosting performance, and enabling accurate business decisions, as part of its efforts during the Year of Artificial Intelligence 2026 to raise awareness about data importance.<\/p>\n
\nThe authority noted that high data quality serves as the cornerstone for sustainable national trust, integrated digital services, operational savings, entrepreneurship, and readiness for artificial intelligence applications, SPA reported.<\/p>\n
\nSDAIA stated that the data quality journey spans five phases, beginning with a creation phase, where data is entered according to standardized criteria.<\/p>\n<\/p>\n
This is followed by a storage and organization phase to structure data and eliminate duplication, and an integration and sharing phase, which assesses quality before data is reused.<\/p>\n<\/p>\n
The journey continues through an analysis and use phase, where report accuracy is tied directly to source quality, and culminates in a continuous improvement phase, which utilizes analysis and user feedback to constantly refine data sets.<\/p>\n
\nSDAIA called on organizations to adopt comprehensive data quality practices and strictly adhere to national regulations and standards. This includes integrated data quality planning, prioritizing initial assessments, developing data rules, and establishing clear performance indicators to measure improvement.<\/p>\n<\/p>\n
The authority also emphasized the importance of conducting periodic reviews and enabling users to report quality problems, which will ultimately maximize the efficiency of digital services and AI applications across the Kingdom.<\/p>\n