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
For training, best practices, and peer connections on competitive strategy & intelligence, connect with us at www.scip.org.
