Shana Pote

The website FiveThirtyEight had many interesting articles about an wide array of topics. The article that grabbed my attention is called, “Why Women Are No Longer Catching Up To Men On Pay”. This is relevant to my college major because in a few short years, I will be in the job search and want equality. A main idea is this, hourly pay has risen more than twice as fast over the past three decades for men working long hours, as employers increasingly reward employees willing to work extra hours with raises or promotions. But for women, their rate of employment, the likelihood that they will work in a historically male-dominated field, and the rate at which they run big companies shows a similar pattern of what researchers Martha J. Bailey and Thomas A. DiPrete, in a new essay, call “five decades of remarkable but slowing change” for American women. This article goes more into detail about how women are once again falling to men, they used data women’s job, households, and taxes.

Why Women Are No Longer Catching Up To Men On Pay

The article I found to be interesting was titled, “Is a 50-state Poll As Good As 50 State Polls?” It explores whether one comprehensive poll of all 50 states is equivalent in information relayed as 50 small polls, one for each of the 50 states added together. Results concluded that these two polls actually do not convey the same information. I found that this was an important because amidst two political campaign, it is important to develop context around the statistics used by each candidate, so as to gain an unbiased understanding. Research done by the author of the article revealed that small polls of individual states are more accurate than comprehensive polls; knowing this, a consumer of news can learn to be skeptical when a candidate uses comprehensive poll data to back claims.

Is A 50-State Poll As Good As 50 State Polls?

Today, algorithms are used online to sift through data and categorize people due to their incredible efficiency. Rana Foroohar, from Time Magazine, says that Big Data is causing a “Silent Financial Crisis.” Her reasoning is that people are often found on the wrong side of a certain algorithm, such as “ranking [a teacher’s] performance,” or “a young black man. . .who lives in an area targeted by crime algorithms that add more police to his neighborhood because of higher violent crime rates.” These algorithms, although useful in the aggregate, have dire circumstances for the outliers who find themselves in a silo created by larger corporations using big data. She terms these algorithms Weapons of Math Destruction, in large part due to the fact that these mathematical algorithms “come with the biases of its creators.”
http://time.com/4471451/cathy-oneil-math-destruction/

For my article, I used the website Guardian Data Blog. I was interested in an article called “Wells Fargo to Pay $185m for aggressive, illegal sales tactics”. The article explains how the company forced their employees to open unauthorized accounts for customers. The company had a set goal for each employee to make every day, which was selling 15 products a day. However, this was difficult and employees made at least over “about 1.5 million deposit accounts and 565,000 credit cards”. I found this interesting because my major is Business Management and I deeply care about how a company is run and represented. https://www.theguardian.com/business/2016/sep/08/wells-fargo-settlement-illegal-sales-accounts

The article I found interesting on Flowing Data’s website is “Serena Williams, greatest of all time.” Being a tennis player, I find anything about tennis interesting to read up on. In this article, I found it especially fascinating with the use of data to show how Serena Williams has been so dominant. Data really helped me to understand just how amazing of a career Williams has going. This article shows the complete timeline of her career including her major milestones and her ranking over the years. My major is entrepreneurship because I would like to be my own boss and want to be an innovator. I want to go into business in something I’m passionate about and tennis is one of my passions.

Serena Williams, greatest of all time

The article I chose to use for my representation of data is a FiveThirtyEight article summarizing how Hilary Clinton is struggling to win votes with millennials in this upcoming election cycle. The article claims that she has roughly half the amount of under 25 voters that Obama had back when he ran for reelection against Mitt Romney in 2012. It is pointed out that there are certain disparities in this data such as older millennials being more likely to back in her run for president than younger millennials who more often decided to side with Bernie Sanders. The article emphasizes how important this demographic is to each candidate since they made up roughly 9% of the electorate in the 2012 election. The author of this article also notes how these results are somewhat surprising due to the fact that Hilary Clinton is in essence running on the platform of a third Obama term.

Young Millennials Love Obama, But Clinton Is Struggling To Win Them Over

The article that I chose is “Why online video is the future of content marketing.” Since my major is marketing, typically anything in the marketing field is of interest to me. This article struck me because I do agree that videos will be the future of marketing. The reason for this is that videos bring in a broader range of audiences. They engage the viewer and allow them to feel relevant to it, which then ends in them sharing the video to others. As a result of this, the said viewers will most likely spend more time interacting with your brand/company. Videos also allow viewers to grasp information in a easier manner. Instead of “information overload” from articles or other forms of advertisement, the online videos sum up the information and allow the viewer to get a better understanding of it. Which in turn, keeps them interested. This is why I agree that online videos are the way of the future for the marketing industry.
https://www.theguardian.com/small-business-network/2014/jan/14/video-content-marketing-media-online

I am studying business management degree at Fox, however, I am huge fan of Starbucks. So, I found an interesting article on Socrata Open Data web-site which displays the entire Starbucks stores in United States. The metadata includes all locations, features and services like Drive-Thru, Wi-fi, whether or not food is heated, lunch options. For instance, if you are a new owner of Starbucks franchise, this particular data would be very useful for your business organization.
https://opendata.socrata.com/Business/All-Starbucks-Locations-in-the-US-Map/ddym-zvjk

I am a Business Undecided Major in Fox, so the topics I found most interesting were the ones that generally recorded jobs and availability. I found data analysis on Employment change in the EU, which is particularly interesting to me because I lived in Europe for a year and studied international business while I was abroad. The data showed a large influx of Heath and Social work jobs as well as increased numbers of business professionals and education workers. This was not surprising because of the growing attention and tax money European countries have began spending on improving healthcare and education. I was surprised by the nearly four million people who lost jobs in construction because I didn’t realize how much that field was struggling.
http://blogs.ft.com/ftdata/author/valentinaromei/

I found an article called “St. Louis Is the New Startup Frontier” on fivethirtyeight.com. The article details how in the past few years, St. Louis has become a major center for startups and new entrepreneurship. This is because various investors have put a great deal of effort into making the city, among numerous Midwestern cities, a safe and reliable place for new businesses. I think this is a very good thing because many of the places that have historically been centers of startup businesses, i.e. cities like New York City, San Francisco, or San Diego, have become so expensive that it can often be very difficult for business owners to maintain stability. The data included in the article show that the cities in the US with the fastest rates of new startups are largely in the Midwest and South.

St. Louis Is The New Startup Frontier

I found the article “Hosting the Olympics is a terrible Investment very interesting. I am Marketing major and after all of the advertisement that comes from the Olympics i was surprised at it potentially being bad financially. Rio spent about 4.6 billion when the projected amount was 3 billion. The Olympics is suppose to provide a major economics gain. After reading the article i learned that this event can be positive or harmful to the country holding it. The article open my eyes to al the data that is not known upfront when plaining to host the Olympics.

Hosting The Olympics Is A Terrible Investment

http://projects.fivethirtyeight.com/2016-nfl-predictions/?ex_cid=navlink

I used on article called “2016 NFL Predictions” on the site Fivethirtyeight. This article showed the probability of each NFL teams chance to make the playoffs, win their division, win their next game and finally the teams chance to win the super bowl. I found this data interesting because it showed the probabilities before the season and the probabilities after the week one games. It is interesting to see how just the first game has affected a team’s chance to win the Superbowl or make the playoffs. For example my favorite football team the Colts, their probability of making the playoffs went down by 12 percent after their week one loss. Since my major revolves around sports i found this to be very interesting data.

“As Jon Stewart steps down, 5 facts about The Daily Show” found on PewResearchCenter brings about various data studies regarding “The Daily Show.” Five main points are argued ranging from the popularity of the show to demographics. As stated in the study, “12% of online Americans cited The Daily Show as a place they got their news.” At the same time, other qualified news agencies came in the study at the same percentages. According to the data found in the article, “The Daily Show attracts a much younger news consumer than cable and network news shows” with The Daily Show at an average viewership age of 36, and The NBC Nightly News at 52. The other interesting data statistic is “43% of regular Daily Show viewers said they mainly turn to the show for entertainment” instead for actual news. This article clearly illustrates how data can offer insight into a certain industry, which can allow news agencies to make decisions based on their viewership.

This article is very interesting to me because I am an accounting major. the article shows how the importance of big data in accounting and audit is is gradually and slowly growing and the need for audit firms to transition to the use of big data in effectively detecting fraud. It also explains the challenges and barriers that accounting firms face in transitioning to the use of big data analysis. This article shows me that my choice to take a class in data science is vital to the future of my intended career and that I should be prepared to incorporate big data into the principles that govern professional auditing. http://www.ey.com/GL/en/Services/Assurance/ey-reporting-issue-9-how-big-data-and-analytics-are-transforming-the-audit

Article: https://hbr.org/1976/11/how-effective-managers-use-information-systems

I like this article because it does not only describe what Information Systems are, it describes the uses of these information systems and how they can be used and made more effective by businesses. I found it very interesting how the efficiency of using these systems increases when they are developed to be “suited” towards the manager using the software and the systems. This article is also interesting because it describes a great many of the ways managers can use these information systems and what kind of knowledge they can extract from the information inputted into their specific software.

https://www.theguardian.com/technology/2016/sep/12/ford-motors-self-driving-car-uber-google
The article that I found refers to the new market for self-driving cars. Self driving cars rely heavily on machine learning and statistical analysis so that engineers can further improve self-driving AI. The article refers to Tesla’s data colection from their autopilot-enabled electric cars. As an aspiring electrical engineer, knowing how a computer inside a car learns and interfaces itself with the car’s controls is interesting, as self-driving cars may take over the roads in favor over human drivers in the future.

I have followed 2016 Election for a long time.The article ‘Can A Candidate Be Too Old To Run For President?’ from Five Thirty Eight talked about the health issues of candidates in 2016 Election, which attracted a lot of attention of the public these days.
While Clinton are suffering from healthy problems, Trump is also face the risk of heart disease and other illness due to the old age and his remaining life expectancy is even shorter than Clinton.
It is undeniable that President is a demanding job and candidates must be healthy enough to work for the country.

Can A Candidate Be Too Old To Run For President?

This article from the journal of accountancy summarizes problems CPA firms are facing in the current job market. Twenty-one percent of surveyed companies claimed that they do not have enough skilled workers and are planning to hire more. Despite this, 13% of companies claimed they had too many employees. The more prominent sentiment, however, is that companies are looking to hire. As an accounting major, this leads me to believe that when I graduate, I will be entering a favorable job market and will (hopefully) have a relatively easier time finding a job.

http://www.journalofaccountancy.com/news/2016/sep/finance-accounting-hiring-201615088.html

My article covers the recent World Anti-Doping Agency’s hack and release of athletes medical data. The sensitive, private medical data of American athletes, such as olympian Simone Biles and tennis stars Serena and Venus Williams, was released by a Russian hacking group called Fancy Bear. The data released shows that Biles took a banned substance, however she went through the proper channels in notifying the American Anti-Doing Agency and World Anti-Doping Agency so she would not be in any violation of the rules and would be eligible for the Rio Olympics. This article relates back to the Ashley Madison reading and discussion in class due to the private and confidential nature of the data that was released. Similar to the Ashley Madison hacking, the data released can cause public embarrassment to the victims.

http://www.usatoday.com/story/sports/olympics/rio-2016/2016/09/13/wada-confirms-us-athletes-data-hacked-blames-russians/90306006/

Alex Freeman, Alice Nguyen, Matt Major, and I will be working together for Assignment #4. We found a dataset from opendataphilly.org which includes information about employees of the city of Philadelphia and their annual salary and overtime pay. We will use this data to answer questions about relationships found within the data.

Katherine Braccio, Alice Nguyen, Alex Freeman and I are working on the group project. Our dataset provides salary information for employees of the City of Philadelphia. We are going to use this to find average salary by department, and most overtime per department.

Nancy Nam, Joshua Affainie, Mark Negro, and Jason Ly. Our project will focus on answering when, where and how to book the best plane ticket. Our Data set will come from numerous sources. The goal is to get closer insights on the most economical way to purchase a flight (domestic and overseas).

Alissa Smith, Eugene Seto, Jake Montana, and I are working together for Assignment 4. Our project will show how and why salaries for players in the MLB have changed over time. We will also compare the salaries of the players by league and by team.

Erin Kelly, Grace Hirsch, and I are going to be looking at and analyzing the City of Philadelphia employee salaries that was just released last week. We will be seeing which departments earn the most gross salary and which have earned the most YTD overtime pay, as well as some other factors from the data.

Sakeena McLain-Cook
Shuyue Ding
Xiaoxu Liu
Gabriella Baldini
Cavin Vuong

Our data set is from opendataphilly.org and it list salaries and YTD overtime pay of City of Philadelphia workers. We will use the data to compare and contrast different departments regarding salary and overtime.

Sergio Campos, Kira Chumtong, Rahsaam Ray, Junaid Farnum, and myself are working together for our final MIS project. Our data set is coming from the Stats page of the official NBA website. We’re comparing the statistics of the Rookie Players in order to gather information on how they’ll compare to each other.

Jordan Motter, David D’Angelo, Isaiah Carrol, John Forsythe, and I are working together on the final project. We will be comparing the stats of Lebron James and Michael Jordan through the first 5 seasons to see who had the better start to their careers. We will be gathering our stats from Basketball-Reference.com

Group Members: Tae Shin, Elena Ciapparone, Bradon Shaffer, Colin Krouse, and Ryan Gibbons

Subject: NCAA Regular Season/Tournament Upsets

I’ve been added to this group as well

I think the most important take-away from this course was to see how often we interact with data and how important data has become. As we look forward to post-graduation plans, I think this course demonstrated that we will all use data on a daily basis, regardless of our major. I would tell a future MIS0855 scholar to take the course and make sure they are absorbing all of the knowledge being offered, as it will prove to be extremely useful to them in the near future.

The most important takeaway is to understand how important data is and how much it affects our daily lives. First, I believe data analysis is going to continue to improve and the way we use data in the future will be very different. Therefore, I would not explain to a future MIS0855 scholar about any data software or systems because they may have a more advanced system. However, I will tell them the fundamental purpose of data analysis; which is to organize data and present it in a way that the user can easily understand the solutions from the analysis.

In my opinion, I think the most important takeaway from this course was seeing how much we interact with data and what we can do with the data we obtained. This course taught me that data is everywhere and that we interact with it in some way everyday. It also taught me how to use different programs such as, Tableau, Excel, and Piktochart to organize and display the data that I am analyzing.

Personally, I think that the most important takeaway was learning a variety of different techniques to analyze data. This course introduced many ways to get deep information from data sets by managing to use programs Tableau, which allow us to make a many different graphs in order to see data in different ways as well as Excel to be able to filter and search for specific parts of data. Now that I’ve realized that data is everywhere in our daily lives, I think it’s great that I’ll be able to analyze it and go in depth with it even more.

The most important takeaway from this course is how much you learn about data and not necessarily how much you learn how to work with data. The weekly readings provided very real-world, practical examples of how data interacts with all of us in multifaceted ways every day. I never realized how much data I personally interacted with, especially in terms of social media. I really enjoyed our in class activities and assignments, as I learned why certain functions work and in which ways various functions are applicable through those assignments. This course will benefit me in the long run, as I will have a base knowledge of complex data analytics tools and applications in the MIS world.

The most important thing that I can take away from this course is to not take information as true at first glance. This class has helped me become more skeptical of data and online articles. I think this is a great thing because the saying “don’t believe everything on the internet” is extremely importance. I’ve been able to effectively question information I have been receiving and determine its effectiveness since starting this class. When talking about this class I would tell other people about the sheer volume of information that data can teach an individual and how prevalent it is in today’s society.

I think the most important takeaway from this course for me is how important data is in our daily lives and the many ways we can affect it and how it affects us. Another important takeaway has to be how the smallest mistakes can skew or drastically change a result or analysis. The course teaches you to be through in an analysis and to look for mistakes

I think the most important takeaway was that data is everywhere in our daily lives and it how it affects us. Also, it shows how the data affects the decisions we make. If I had to explain this class to a scholar, I would tell them that they would learn how to interpret data into information and knowledge. Also, how to understand data visualization and meaning behind them.

The most important takeaway from this class is that data is everywhere and it can be manipulated in many different ways. It can be shown in different amounts of visualizations and tables to project a certain view point or outliers. Therefore, I would describe this class as a way to explain data in a sense where it relates back to society and manipulating the data to show what exactly you or anyone else is looking for.

In my opinion, the most important takeaway is to do your homework and research on your data and find out the credibility of it. In my opinion, it is common for someone to simply trust data they are given, which can cause big problems in your analysis. Not all data sets are free of bias etc. One thing I would tell to a fellow scholar is that it really opens your eyes to the same topic I just mentioned. You will never look at data in the same way again, and that is a good thing. Always be skeptical of your data!

In my opinion the most important takeaway from this class is how important data is in our daily lives and how it affects our lives. I had learned that data is a part of my life in more ways than one such as in social media. The data I produce on social media can change what will show up on my feed and advertised for me. I also learned how mistakes in data can have large consequences like the Lehman Brothers sale where 179 toxic deals had to be be bought based off of hidden Excel cells that should have been deleted. I have learned now how to be more aware of the data I am using and how to correctly manipulate it. For a future MIS0855 scholar, I would say this course is that they will learn how data is more than just numbers on a spread sheet. What is contained that sheet can be interpreted into knowledge that can help them make decisions and conclusions about real life events. Also, how to question the data they come across and how credible it is to be used in their lives.

The most important lesson I can take away from this class is that data and its analysis have a power otherwise unnoticed in my life. The capabilities of data analysis and drawing conclusions based upon large quantities of otherwise useless information to human analysis is the forefront of most business and tech fields. If an individual like myself wishes to graduate college with relevancy to the workforce a deep grasp of data analysis is necessary and most useful.

In my opinion, the most important lesson I have taken away from this course is that data is everywhere and has a major impact on our lives. Data is important to learn about because of its power after analysis and the decisions that can be made according to our analysis of the data. Also, with technology constantly growing as we move into the future, things like insurance companies changing their rates on a daily basis is one of the major changes that could happen. Overall, knowledge about how data works and could be evaluated will help me in the future and I would tell a future MIS0855 scholar that this course will also help them deeply understand how data works, how to analyze the data, and properly display that information and knowledge.

I believe that the most important takeaway from this course is to recognize how much data we interact with on a daily basis. It is also important to understand how data analysis leads to decision making which impacts our lives. This course showed me how important data is in our world today. I also learned about different ways to analyze and understand data. I believe that this course can teach a future student how to recognize the importance of data, and how to make informed decisions based on their knowledge of the analyzed data.

I think the biggest takeaway for me was being able to utilize Excel and Tableau to transform and understand data. We are always around data, even without knowing it, and in most jobs there will be some type of data usage, so being able to use the data was the biggest takeaway for me. I would tell a future MIS0855 scholar that the class can be as easy or as difficult as you make it; all the work in-class and out is necessary to understanding the material. Also, do all the work on time!

I think the most important take away from this semester was learning how to look for outliers and possibly messed up data in a data set. I feel that this skill will help me in my future career. I would say that MIS0855 was about recognizing data in your everyday life and learning how to analyze it and make sense of it to come to different conclusions.

I think the most important takeaway from this course for me is how to work with data-based programs. I have rudimentary knowledge in Microsoft, but this course is the first I have heard of Tableau, Hadoop, Piktochart and et cetera. Because it is inevitable that I will work with data in my future career, I think it is important to have a run down of major data analysis software and some needed practice in order to navigate my way around the workplace later on. If I have to explain this course to someone else, I would say this is a wonderful entry-level course for any beginner who wants to seriously consider MIS as a focus of their academics and career.

The most important takeaway from this course for me was gaining a better understanding of data and how often we use it. Data visualization tools like Tableau help to better interpret this data and I’m glad that I got an opportunity to learn how to use this tool. This understanding will help me not only in my business career, but in my personal life as well!

I believe the biggest takeaway to this course is that Data really is EVERYWHERE around you. Everything from the people your surrounded by, to the phone you use everyday is all data and is constantly changing by the minute. Using the programs we have used in class such as Tableau, help us to look at these data changes in a more appealing way to those who are more inclined to learn visually then by auditory. My knowledge for EXCEL has no doubt increased dramatically ever since i began this course.

The best way to describe this class, is that you are visually creating data to use and studying just how deep Data and Metadata really is. It is not just simply numbers and letters. It is so much more than that.

I think the most take away from the class is how to understand data and get useful information from our daily life, because data is all around us, like everywhere in our life. I would say this course is about understand and be able to use data to a future MIS0855 scholar, and to be sure, at least understand bias, and be able to avoid it in the future.

My most important take away from this class is how much more powerful a visualization is rather than just raw data.A well created visual gives the audience a lot of information and knowledge in a quick way, looking at raw numbers would take days to extract the same insight. The best way to describe this class is that a student will be using tableau and excel for their knowledge to easily understand the data sets.

I learned way more than I originally expected but the most important takeaway from this course was the impact of data. I never realized how much of an impact it has and how it really is everywhere. Yet, an even more important takeaway would be making my major MIS, which is very possible. I would describe this class as an insightful introduction into the world of data. MIS sounds like a complicated turn off but this is helpful and relevant for everyone, no matter the major.

I believe that the most important takeaway from this course was how to create data visualizations out of massive data sets to more quickly come to conclusions and make decisions. This knowledge and skill of data manipulation will be very useful in the business world, no matter the type of work one goes into. I would describe this class as a course that teaches the skills to take a large data set and manipulate it into something that almost anyone can understand. The knowledge gained in this class can be applied to our daily lives.

For me, I think working with data and excel and the experiences from combining these two will stay with me as I go forward in the business school. Prior to data science I can honestly say I felt anxious every time a recruiter would mention working with excel. I just never really worked with the software and hence did my best to avoid it when doing past assignments. I never knew excel can do so much honestly! Technical stuff has never been my forte but i think seeing data raw and organized with software like tablaue and excel has definitely made me more comfortable.

I think the most important thing I’ve taken from this course is how to use data in many aspects of business and life. Knowing the difference between good and bad data is also very important. Data will be a part of any field I go into, so having a foundation will help me in the long run.

The most important take away from this course was learning how to analyze data through relevant mediums such as Excel and Tableau. Data analytics plays a huge role in every job industry and can be useful to everyone. For me, this class helped me to decide on a clear career path. I want to work with marketing and data and I now know how I can link the two fields together to get results. Next semester, I am taking the next level, MIS 2101,so I feel as if I may have an advantage because I am already familiar with data analytics.

In my opinion, the biggest takeaway that I got from this course was how much more effective data visualizations and infographics are, as opposed to actual numbered data. Visualizations summarize the data in a quick and easy way for the users to understand what is going on within the data. I would tell a future MIS 0855 scholar that this class gives you the basic understand about data and all of its components. I’d let them know that this class will help in many other courses and work opportunities.

The most important take-away in my point of view if how prevalent data is in our everyday lives, and how it is used in almost any field (not just business) so it is very important to know and understand what makes up data and how data interacts with each other and the world around us. I would tell a future MIS scholar that this course is all about data and its purpose in our everyday lives, and how versatile and plentiful data is.

In my opinion, the most important take away from MIS0855 is the combination of facts of how often we interact with data in our day to day lives and knowing how all of this data can be manipulated and misrepresented. Having this knowledge allows us to recognize misrepresented data in our day to day lives and makes us now think more critically off statistics that we view on the news.
If i had to describe data science to another person i would summarize it like this; Data Science teaches you about the what data is, how we obtain it, how we convert it to knowledge, and how we represent and clean it.

I would say the most important takeaway from this course is learning about the Tableau software. Learning how to use data from excel spreadsheets and importing them to visualize data will prove rather useful for future classes. I believe that this aspect can help interpret, and project data in a way that allows audiences to view data more easily.