Real-world insights from Asurion: Data quality in practice

Asurion, a technology care company, emphasizes the critical role of data quality in effective analytics and decision-making, especially given their vast processing of over 20 billion records daily. To address data quality challenges, Asurion has developed a proactive machine learning framework that automates data cleansing, predicts potential data issues, and improves data accuracy, completeness, and reliability. This approach has led to a twofold reduction in data quality issues, decreased reprocessing costs, and enhanced trust in enterprise data. Asurion's data governance policies and metrics ensure continuous improvement and alignment with business strategies. Additionally, Starburst Galaxy’s new data observability features, such as column lineage and SQL-based data quality checks, further enhance data integrity and facilitate efficient data management. These initiatives collectively enable Asurion and other organizations to maintain high data standards, optimize business outcomes, and achieve better alignment with key performance indicators and return on investment.