Data Quality

The explosive increase in business level automation and data entry points have resulted in the generation and storage of poor data quality in many operational systems. Poor data quality yields poor information which in turn leads to misguided decisions that can be counter-productive, costly, non-compliant and in certain cases flat out dangerous.

This presentation tackles the causes, effects and the latest technology techniques in preventing, identifying, monitoring and taking corrective action to improve and maintain data quality throughout its lifecycle.

Presenter:

Sam Khoury
Business Intelligence Principal Architect
Oracle’s Public Sector