Julian C. Wallace

This class was highly valuable in my understanding of Business Intelligence and how the “game” is played on the global scale. One of the biggest things that have stuck with me was the data-information-knowledge-wisdom process. I feel I can apply that to many different things in my life. I love technology and business analytics and this class fac…[Read more]

The most important take away for me was that you might have a sexy visual to show off but unless it tells a story your audience can understand then it’s useless. I run a small music production company and therefore the information good is the “album” or final product of the artistic ideas and inspiration. The most expensive part: times and creat…[Read more]

What was the average ER length of stay for 65 year old + male or female? Male, .576 days

Yes I believe it is possible to use applicant data to predict performance. One must be careful, however, because using the wrong data or implementing the wrong process will lead to inaccurate outcomes. One might think that quantitative KPIs are more accurate then qualitative but I would argue that it is situational. As a student applicant coming…[Read more]

My role as a sales representative had a system of compiling and calculating Key Performance Indicators there were SMART in that they accurately aligned with the criteria defined by this terminology:
Specific: We had a certain amount of sales to obtain, in a specific region, and of a specific type.
Measurable: Sales were obviously measurable in…[Read more]

Baseball:
Leading – Player RBI, Batting Average, 40 meter/sec., etc
Lagging – Season Record (win/loss ratio)

http://spatialsportsanalytics.blogspot.com/2012/09/spatial-analysis-of-tennis.html
This info-graphic webpage shows two visualizations of the same data. The first is pretty clean and fairly easy to decipher. But the second is an absolute mess. It is important that, when dealing with large data sets, to simplify the visual design so that viewers…[Read more]

In my past job I was to find relationships between customers demographic information, product attributes, and territory sales locations. First, one must join customer and product tables to determine what customers bought and how many of each product they bought. Then join the territory data to determine in which regions each customer resides and…[Read more]

Team Members:
Goda Neeharika Damera – neeharika.damera@temple.edu
Julian C. Wallace – tuf20099@temple.edu
Robert Dettore – tuf31200@temple.edu
Nina Codeacova – nina.codeacova@temple.edu
Kartik Sridhar Rao – kartik.sridhar.rao@temple.edu

Use the pertinent BI techniques to analyzing existing customer and transaction data to come up with…[Read more]

Goda Neeharika Damera ,
Julian C. Wallace” ,
Robert Dettore ,
Nina Codeacova ,
Kartik Sridhar Rao

Use the pertinent BI techniques to analyzing existing customer and transaction data to come up with sound conclusions by aligning our strategy based on our analysis.

Advice for an accurate ERD: Before beginning the process of formulating your ERD take a step back and analyze your business situation from a macro view. Ask yourself, “What do I truly want to understand given the data at my disposure?” Familiarize yourself with the key economic drives essential for commercial success and test those against ind…[Read more]