Bookmarks Project

This section represents the contributions of our students to the resources for classes. In each class, students have been asked identify a website or web resource that may be useful to others taking the course or to those interested in a related subject area. The "bookmarks" are then submitted with explanations of the value the contributors believe they represent. Over time, this area offer the collective efforts of students who quite often are the best sources for classroom material.

GMAN 304 Quantitative Analysis


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Bookmark Description Created By Date Created
This article explores how big data analysis is being used to make rapid advances towards fighting human trafficking. Prior to big data companies were not able to fight human trafficking as effectively, because it took too much time to sort through all the data in an effecient manner. Big data is speading up response times to situtions currently in progress and allowing law enforcement to see trends that prevent human trafficking. Uncovering trends allows us to effect change on a much larger scale. Big data allows allows us to prosecute criminals without the testimony of the victim. This is valueable because sometime victims are too ashamed to testify in court or won't testify for fear of retaliation. The main challenge will be continuing to evolve our data analytics to stay on par with the evolving tactics of the criminals.  Sarah McGinn Monday, 19 January 2015
Ford Motor companies attempts to use real world data to make their products better! In a 2015 Keynote address Ford Motor’s CEO Mark Fields announced that he wanted Ford not only to make great cars but for them to look beyond on how to evolve cars for better way of life for consumers. Fields shared that he will be having the organization heavily investing in the use of “BIG DATA”, in the coming future to better understand the consumer and how to evolve their automobiles for the future.  It is important to note that Ford is on the forefront of big data, but trailing behind organizations like Facebook, Google and Amazon who put high stock in their big data analytics.  James Donovan IV Thursday, 22 January 2015
Startup company numberFire created a website for analytics for sports. numberFire live will include the traditional digital data delivery features most fans are familiar with  such as play-by-play game tracking, drive summaries and game stats for teams and players, but will also now immerse fans with never before seen sports analytics   Erik Dier Monday, 02 February 2015
 In the article “How Big Data Analytics Can Help Track Money Laundering,” Thor Olavsrud brings light to the how trade finance needs to get with the times and use data analytics to detect money laundering across borders. Olavsrud describes how due to the fact that roadblocks have been hit in the financial system, criminals are now using global trade to smuggle cash. International Anti-Money Laundering uses a manual procedure that relies on a paper intensive system, which makes them more susceptible to human error. This outdated system needs to be replaced with a trade based money laundering system that allows for data sharing across organization and data analytics to detect illegal activity. The use of big data can automate the process to find these illicit transactions through text analytics, web analytics, and unit price analysis.  Teasara Thompson Monday, 02 February 2015

Avis Budget Car Rental wanted to grow it's market share. Although it was the #1 company in the market for car rental, they had an opportunity to grow their business through existing customers. Their existing customers only used Avis 64% of the time they would rent a car. They decided to try to grow their market through existing customer segmentation. Avis was able to do this through already existing data based on touch points and interactions, and organized the data by individual customer. The customers were then ranked high to low value for the company. Avis ran marketing campaigns and spent time and money trying to reach out to the highest value customers most, but not forgetting about the low value customers. This allowed them to instill loyalty in high value customers through offering upgrades to their important customers. This article shows you that you can take already existing data and through data analytics sort through and organize it in a way that will help you increase revenue through existing customers. Avis showed that data analytics can help create loyalty in customers just through the data and being able to understand them better.

Shannon Little Wednesday, 18 February 2015
This article, from GeekWire, demonstrates what Boeing is doing with Big Data.  Each aircraft Boeing produced averages 8,000 sensors.  Those 8,000 sensors collect data every second.  Multiple that by around 5,000 aircrafts flaying at any one moment and you are looking at the data that Boeing is collecting continuously.  Boeing, who previously was a really process driven company, is now transforming into more of a data driven entity.  They are using this data for a variety of things including: less downtime for airplanes, better customer experience (complete personalization for flyers), and providing real-time data analysis for airlines.  And they are always looking to fully understand what the data is telling them and how to use it optimally.  The predictions that are made from data collected must be accurate. Life and death scenarios are dependent on the accuracy of the predictions. This is why Boeing must be careful when using the data for predictions. Curtis Bauer Thursday, 05 March 2015
Sheida Crystal Shaffie Due: March 10, 2015 Quantitative Methods Professor: Ameera Quantitative Methods: Why is this article useful?             Despite being in business school, statistics is not an avenue of our business program that I consider to be one of my strongest subjects. Often times when I do our homework I think to myself, “Why on earth is it necessary to know all this”. Reading the article from Co.Labs called, “Starbucks Could Use Your Social Data To Find New Starbucks Locations” opened my eyes to how much statistics is used in business and even in daily life. This article showed me that an entrepreneur could save money by simply using statistics from social media and applying it to a particular business to attract consumers. Attracting consumers is one of the most important parts of running a business so seeing how much statistics and what we’ve learned in this class can be applied to business growth gives me a new perspective on this subject. This article is also important because it showed me that if you are creative enough, you could figure out a variety of avenues in which statistics can be used to grow your business. Here, they used trends relating to customer locations to find out the best locations to set up stores. That is a challenge that I will have to face one day as an entrepreneur and by reading this article I was able to learn more about the cheapest ways to find these trends. Such information will help my business grow in the future. Sheida Crystal Shaffie Thursday, 12 March 2015
This article was about the decline of the music industry in terms of monetization.  Subsription based models and streaming have not significantly helped increase the revenue generated by music sales, and though they have been more popular sources for consumers they are still not generating very much.  The Recording Industry Associate of America shows that the total music sales in the US have dropped below $7 billion compared to $13 billion in 2003.  The article suggests that big data can help the music industry through collaboration with major brands through ad tech and social media in order to direct more marketing and mobile engagements with consumers. The biggest example of what they hope to achieve is Instagram in that many companies have been able to find more engagement and connectivity with consumers by allying themselves with popular users.  Using big data, it would be possible to reveal the motivations of consumer choice as well as the social context of their choice to understand "Music DNA."  The author of the article lastly talks about what he hopes his company weeSPIN might be able to accomplish.  Obtaining the permission from artists, he hopes to be able to obtain licensing for all sorts of music, have consumers use his app which allows consumers to listen to music collectively, then have brands pay for analytics to understand how groups listen to music.  Revenue would be generated based on total songs played or clicked. Nathaniel Fuentes Thursday, 12 March 2015
This article is about how marketers are using big data analytics to forecast future trends.  With all the data coming in from smart devices about shopping trends, food orders, and tagged locations, marketers are capable of learning many things about the customers.  Through statistical analytics, marketers are able to tie that information with the social media info and put together major upcoming trends and what trends are starting to fizzle.  Add in the cloud data that allows marketers to gather data for analytic study from anywhere the user is saving information and you have a perfect data gathering resource for analytical studying. CHRIS WILLIAMS Thursday, 19 March 2015