Joseph J. Doyle

I am a MIS and entrepreneurship major. As a MIS major, I can use data to find where our strongest sales numbers are and why they are so high. As a entrepreneurship major, I can use data to find which of my […]

One decision that Wawa used based on data was where to build new stores. The guest speaker spoke about how they try to build stores in a location where there is no competition. Wawa chose to build stores in […]

I thought the guest speaker was useful. It showed me that what I learned in class can be applied in the business world. Here are the 3 main things that I learned form his lecture:

1) How valuable data is to a […]

Cohesion and Separation are important in terms of clustering because it helps determine data points in a cluster and determines if the data fits in the cluster. The greater the cohesion, the closer the data points […]

Twitter uses segmentation to show you possible people you can follow. They analyze who you are currently following and offers suggestions on people that are compatible with your current followers. Based on that […]

The Sum of Squared Error measures the nearest distance to the clustering data. Or, how close each point of data is to the center line. The closer to the center line, the better the data is.

I learned about Association Rules which help businesses understand customers’ buying patterns. The example that I understood the best was putting beer next to the diapers. The businesses hoped that if the husband […]

Association would be the best for Bob because he would be able to see his entire sales and make decisions accordingly. This would be the most efficient option and help his store out the most.

I learned about decision trees which is a tool managers use to make business decisions. We used SAS to help create these decision trees. They tell the manager how to react given a certain circumstance.

In week 9 we learned about data mining which involves gathering data to make decisions. We also learned about SAS which is a program that helps analyze data. Both of these are used by managers to make business decisions.

In Week 7 I learned about ETLwhich involves taking data out of a transactional database and using it in an analytical database. Some data for companies are not organized and I learned how to organize them using […]

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In week 6 we learned about Data Cubes and Data Marts which can be used to view data. There are also Data Warehouses where large amount s of data are stored. Companies use Data Cubes and Data Marts to view data to […]

I believe that the star schema is a good way to organize data but I do not feel that it is the best way. The people who view the data would want to see more than just a summary of the data. On some occasions, they […]

This week I learned how to use SQL to extract data from a database. I learned about the functions SELECT, FROM, WHERE, JOIN, ORDER BY, and other functions. I was able to perform a couple queries during class. I […]

Referential Integrity makes the data in each table relate to data in other tables. In other words, if one piece of data in Table A does not directly correlate to data in Table B, it would break referential […]

In the first week of class, I learned the various uses of data and how it can be applied to different companies. For example, Amazon would not use data the same way that Facebook would. I also learned about the […]