In this episode of SCIP IntelliCast, we talk with Lohrasp Seify, Data Science leader for Blackline about his experience bringing the disciple of data-driven decision making to organizations. Lohrasp will share lessons learned:

• Centrally collecting data from disparate sources (and not having it collect “virtual dust”).
• Understanding conditions & drivers of events (to determine the likelihood that they’ll happen again)
• Finding insight and meaning in what happened (hindsight) to determine what may happen (foresight)
• What techniques the layperson can borrow from data scientists and use in their day to day decision making

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