This may be the most challenging aspect of analytics.…In one, to be honest that we don't do that good a job in the classroom.…because usually like if you use business school cases, they'll give you the data.…So, let's talk about some examples of problems organizations needed to solve.…And how you figure out what data you needed.…So Hewlett-Packard was trying to reduce co, employee churn.…In other words, they wanted less people to leave the company.…So they said, what data do we need to…try and figure out what makes people leave the company.…So they tracked, for all their employees, the…salaries, the job performance rating that HP gave them.…
The raises that the employees got and the promotions that they got.…And they tried to predict using a tool called logistic regression.…Who was likely to turn and leave the company?…And who was not?…So they found some surprising things.…You would think that if you got promoted, you wouldn't turn or leave the company.…But it turned out it was more complicated than that.…
- What is analytics?
- Predictive vs. prescriptive analytics
- What do you need to know to become an analytic professional?
- Looking at examples of good and bad metrics
- How mobile devices will shape analytics