Organizations are increasingly counting on insights generated by data analysis to excel in business. Business teams realize that insights are only as good as the data they come from. Data quality is critical to business. Data quality is the measure of validity, accuracy, consistency, availability, completeness, and timeliness of data for fulfilling requirements for specific business use. The speed of data quality management must match the speed of today’s business. Although it is difficult to achieve continuous data quality with legacy systems, modern technology offers a better solution. Enterprises can use Machine learning to monitor, score, and improve the data quality for positive business outcomes.
This session will discuss:
- Building reliable data foundation for insights
- The scope of Machine Learning to understand data quality
- Using Machine Learning to improve data quality
- Machine learning-assisted data enrichment
Machine learning in modern data management platforms can help continuously enhance the quality of data ensuring that all back-office and customer-facing teams work with accurate and consistent data.