In this presentation, O'Reilly author and Digital Reasoning CTO Matthew Russell along with Dr. Steve Kramer, founder and chief scientist at Paragon Science, discuss how Digital Reasoning processed the Enron corpus with its advanced Natural Language Processing (NLP) technology - effectively transforming it into building blocks that are viable for data science. Then, Paragon Science used dynamic graph analysis inspired from particle physics to tease out insights from the data in order to better understand whether an enterprise fiasco such as the Enron scandal could have been thwarted.