In the cinematic masterpiece "The Good, the Bad, and the Ugly," characters mirror the nuances of data in analysis. "The Good" stands for high-quality, reliable data with a clear lineage; "The Bad" signifies anomalies in need of valorization efforts; and "The Ugly" represents unstructured data with hidden potential.

This presentation explores strategies for identifying and extracting the gold nuggets of insight from the "Ugly" data while mitigating the influence of the "Bad" data. We show data cleaning, validation, transformation, and presentation techniques to turn ugly data into good data, remove bad data and extract value from the good data.