David Schuff

Interesting article on using Big Data to win elections – courtesy David Hamme!

Thanks David ….. its nice to have students contribute such relevant and contemporary articles.

I’ll have office hours Monday 11/19 from 3-4pm.

The TA will have office hours on Tuesday 11/20 from 2:30pm – 4:00pm in Alter Hall 603

Click here for a copy of the lecture slides on association rules. We’ll cover this in week 13.

In this lecture,  we’ll discuss association and related examples such as Amazon’s recommendation system and […]

Click here for instructions on the SAS inclass exercise on association.

Here are a couple of articles from Information Week on choosing analytics as a career option.

Meet The Elusive Data Scientist

Wanted: Qualified Data Scientists, People Skills A Plus

Here is an interesting article from Forbes which gives an example of how a dad found out his daughter was pregnant from the mails she was getting from Target (click here).

What do you think about the potential […]

Think for about 100 seconds what you learnt in class during week 12 (Clustering and Segmentation) and summarize your thought here.

Here is an article about a new facial recognition software being developed for use in retail stores (click here). How is this data useful for retailers? What kinds of analysis can retailers perform on this data, […]

Check out the news headline – 76ers hire Barzilai as director of basketball analytics. This shows the growing importance of analytics in sports.

The decision tree assignment is due on Wednesday, Nov 14. Following are the office hours to provide help with this assignment:

1. I’ll have office hours today after class (3:00pm)

2. The TA will have office […]

Click here for a copy of the assignment. This is due on November 21st, 2012. Please submit a printout of your answers to the instructor at the beginning of the class.

Click here for instructions on the SAS inclass exercise on clustering.

Click here for a copy of the lecture slides on clustering. We’ll cover this in week 12.

In this lecture,  we’ll discuss the concepts in clustering and segmentation. as well as some managerial applications.

As the dust around election 2012 settles down, it is clear that the big winner is data analytics. Analytics rose to prominence in this election in two main ways:

1. Campaigns used data for micro-targeting […]

Your Uncle Bob’s store sells food, magazines, cleaning supplies, and toys. Bob knows nothing about analytics, but he knows you do! He’s asked you for help, but you want to keep it simple for him. Choose the […]

Take a look at the SpotCrime website. Type in a few zip codes to see crime statistics in different areas. Would you consider this more an example of data analytics, or more like the OLAP analysis? Explain your reasoning.

Give an example of a problem where data mining would be useful. Then explain whether it would be an example of predictive or descriptive analytics (refer to the slides for the definitions if you don’t remember the […]

Name and describe a business question that you could answer using a decision tree. What data would you collect to perform the analysis? Do not use examples that we covered in class.

Data cubes are more static (change less frequently) than transactional data.

Click here for class captures by date:

November 5, 2012

November 7, 2012

November 9, 2012 – no capture (test 2)