Data Profiling - trillium_discovery - trillium_quality - 17.2

Data profiling is useful when you want to examine the quality of a data set and measure it against established corporate standards, best practices, and other compliance requirements that have an impact on your business. Using the data profiling results you can:

• Identify incorrect or incomplete data using entity or attribute business rules