"Move Over, Big Data!
How Small, Simple Models Can Yield Big Insights"
In this talk, managers and policymakers
will learn how simple mathematical models of systems can improve
intuition and lead to better decisions.
Dr. Richard C. Larson will provide
concrete examples from his professional research and consulting
engagements, then discuss general applications to industry. He will
cover:
- Flaws of averages—what they are and how to avoid them;
- Square root laws—how to apply them to locating facilities and more;
- Singularities—why and how managers of service systems must schedule idle time for servers or face huge waiting lines (aka the "elbow effect");
- Simple difference equations—how to use them to discover major system instabilities when inputs are year-to-year gross revenues;
- Going viral—how a major demography parameter can apply to exponential explosiveness in many business sectors; and
- Lateral thinking—and how it can sometimes make a problem go away.
Learn to cut to the chase, see the big picture, and stay out of the weeds!
A Q&A will follow the presentation. We invite you to join us.
2 comments:
Wish I could be there!
Thank you for posting this- it was a great talk! Link for those who missed (recording is posted) http://sdm.mit.edu/news/news_articles/webinar_090814/big-data-vs-small-models.html
Post a Comment