In this session, we’ll 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