Web Seminars

Clean, correct, and complete data is a necessity for all organizations and their customers. The implementation of data quality across an organization involves more than just acquiring a data cleansing tool. Effective planning, governance, and coordination of technology and people often yields the best results.

This session explains the major challenges of technology, explains the role of data governance, and describes a strategic approach to improving data quality. We will address key tool capabilities, the relationship of MDM in data quality, roles and responsibilities, data profiling, error prevention and correction, and continuous quality improvement via the data quality lifecycle.

Data Integration