Day 36 – Predictive Analysis
Online discussion questions – Day 36 (Apr 13) – Predictive Analytics
- Any other examples of Predictive Analytics that you know?
- What kind of future life events could retailers like Target predict about customers? How?
- If you are a manager of an election campaign, how would you find voters that are most likely to be persuaded by your campaign?
Day 36 – Predictive Analytics – class videos
$100m Medicare Fraud – CNN (http://www.youtube.com/watch?v=xF9DJgGeT3o)
Dehumanising Human Resources – The Economist (http://www.economist.com/blogs/schumpeter/2013/04/big-data-and-hiring)
Obama’s Win – Data Mining – CNN (http://www.youtube.com/watch?v=Eo_oSwZL8AE)
Retailers’ Predictions – The New York Times (http://www.nytimes.com/video/magazine/100000001367956/timescast–retailers-predictions.html)
Predictive Policing – NBC News (http://www.nbcnews.com/video/nightly-news/44214509)
Day 36 – Predictive Analytics – class slides
Reading Assignment for Day 36 (Apr 13)
Big Data Knows When You’re Going to Quit Your Job Before You Do – Bloomberg (http://www.bloomberg.com/news/2014-12-29/big-data-knows-when-you-re-going-to-quit-your-job-before-you-do.html)