December 15, 2013
Best practices, Management, Methods, Research, Tech Insight, Theory
A TedX talk I gave November 18th 2013 in Rotterdam, Netherlands at the Rotterdam School of Management (RSM). This talk distills many of the thoughts discussed in this blog. If you like it, please forward!
http://www.youtube.com/watch?v=q4d1DArZKgo
TedX Scott Mongeau Nov 18th 2013 – Data Science and Our Magical Minds
Scott Allen Mongeau (@SARK7), an INFORMS Certified Analytics Professional (CAP), is a researcher, lecturer, and consulting Data Scientist. Scott has over 30 years of project-focused experience in data analytics across a range of industries, including IT, biotech, pharma, materials, insurance, law enforcement, financial services, and start-ups. Scott is a part-time lecturer and PhD (abd) researcher at Nyenrode Business University on the topic of data science. He holds a Global Executive MBA (OneMBA) and Masters in Financial Management from Erasmus Rotterdam School of Management (RSM). He has a Certificate in Finance from University of California at Berkeley Extension, a MA in Communication from the University of Texas at Austin, and a Graduate Degree (GD) in Applied Information Systems Management from the Royal Melbourne Institute of Technology (RMIT). He holds a BPhil from Miami University of Ohio. Having lived and worked in a number of countries, Scott is a dual American and Dutch citizen. He may be contacted at: webmaster@sark7.com LinkedIn: https://www.linkedin.com/in/smongeau/ Twitter: @sark7 Blog: sctr7.com Web: www.sark7.com All posts are copyright © 2020 SARK7 All external materials utilized imply no ownership rights and are presented purely for educational purposes.
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[…] However, a recent article chastened me to not to leap to conclusions by putting analysis before problem framing, a common omission in decision making. The logic is both challenging and simple: the world is much more random than we are comfortable to admit. Our propensity to rush to frame and explain observations lies at the root of many cognitive biases, one of the most fundamental being falsely conflating correlation with causation (a topic which I raise in my recent TedX talk: Data Analytics and Our Magical Mind). […]