Last night our class took a look a data mining program called Clementine. This program seems it would be better suited for larger data sets more so than SPSS. Clementine can produce a number of different graphs, charts, and outputs that can be used to better determine customer behavior. Some of the models that we looked at in class were neural networks which try to find relationships between data, and decision trees. Decision trees examine all possible outcomes from looking at all choices a customer could make. I thought the decision tree was pretty neat because you can visually see all of the decisions a customer can make and then try to walk through their thought process to get a better feel for the kinds of customers that are buying particular products. At the end of the class we were comparing all the different kinds of models against each other to see which one had the best predictive capability by using lifts and gains charts, which are commonly used performance measures. we found that the neural network had the best predictive capabilities for this data set. As an OMIS major I think programs like this should be thought in the OMIS curriculum, because until I took this class I had never even heard about SPSS or Clementine. I think that having some knowledge about this kind of software would be very helpful/useful for every OMIS major.