Meaning ● Data Quality Improvement, in the realm of Small and Medium-sized Businesses, represents a proactive business discipline centered on enhancing the reliability, accuracy, and completeness of organizational data assets. Specifically, it aims to make data fit for its intended uses in supporting business growth, streamlining automated processes, and ensuring successful technology implementations. Good data fuels better business decisions. This involves identifying and rectifying data errors, inconsistencies, and redundancies. It requires implementing processes to prevent future data quality issues. Successful Data Quality Improvement strategies in SMBs enable better business insights and more reliable data for automation projects. ● Furthermore, it is essential for compliance and informed strategic decisions. A strong commitment to data quality reduces operational costs by minimizing errors and rework. Consequently, improved data leads to better customer relations and efficient business processes.
