In this episode, I want to discuss how this production changed the focus of the play, away from the madness of the king to the actions of the three daughters.  Perhaps it was my perception of the play or perhaps it was the director’s intention but the focus in the first half of the play was clearly on the daughters and their families. Both Goneril and Regan played much more prominent roles throughout the first scene and their joint liaisons with Edmund, later the Earl of Gloucester, were key components of this production. Moreover, their husbands, the Duke of Cornwall and the Duke of Albany, also played prominent roles. The Duke of Cornwall, for instance his role in this production was more than the traditional highlight for him, which is the blinding of the original Earl of Gloucester. (Even in this production it still elicited gasps from the audience.) Even after the intermission, where some of the most powerful scenes in all of Shakespeare playout, including the blinded Earl of Gloucester and the mad Lear wandering the moor, this production held a distinct focus on Lear’s daughters and their families, adding in the complexity of Edmund, the new Earl of Gloucester, having an affair with Goneril while secretly pledged to wed Regan.  In the most recent Harvard Business Review (HBR), Scott Berinato writes, in an article entitled “Data Science and the Art of Persuasion”, that most companies are not getting the value from data science initiatives and prescribes ways to remedy this phenomenon. Last year, at Compliance Week 2018, Hui Chen said on a panel that she expected the compliance team of the not-so-distant future would have a data scientist. As with most of her pronouncements, she was way ahead of the crowd.  You must start with the premise that most CCOs and compliance professionals are legally trained, usually without any data analytics classes in law schools still operating under the Socratic Method. Even if a stat class is thrown in somewhere along the way in undergrad, grad school or even through some business school outreach to law students, that does not begin to prepare someone to understand the insights available through advanced data analytics. The key is to build a better data science operation. There are four suggestions, with the over-arching theme of defining the talents you need to understand and communicate the data. 1.     The unpacking of data and creation of insights is a skill. 2.     Data wrangling.3.     Expertise.4.     How to communicate the information. 

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