Identifying Anomalous Patterns that Might Identify Data Integrity Issues

Application Area:
Statistics, Predictive Modeling and Data Mining

Learn to screen data to investigate data integrity and uncover unexpected patterns that might indicate inaccurate or fraudulent data collection. See several financial case studies that show how to interactively look for duplicate series of values, linear relationships between columns across groups of rows, properties about the formatted values and certain distributional properties.  

This webinar covers: Explore Patterns utility, establishing conditions for pattern screening and interpreting reports