Section 003, Instructor: Ermira Zifla

Weekly Question #8: Complete by April 5, 2017

Leave your response as a comment on this post by the beginning of class on April 5, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!

Here is the question:

Once again, find another online article dated within last two weeks from a credible source that has something to do with data and is interesting and relevant to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

39 Responses to Weekly Question #8: Complete by April 5, 2017

  • https://fivethirtyeight.com/features/how-fivethirtyeight-is-forecasting-the-2017-ncaa-tournament/

    This article was very interesting to me because I know the magnitude of analytics of March Madness but this article does something I had never really seen before. According to the article, the website used play-by-play data from the past five seasons of Division I NCAA basketball to fit a model that generates a win probability in a interactive bracket. To calculate the actual % chance of winning FiveThirtyEight incorporates; Time remaining in games, Score difference, Pre-Game win probabilities, Possessions, and free throws. The most interesting part of this is while games are going on, data is constantly being inputted and throughout the game you can watch the probability of winning change and at the end, see a line chart of the game’s progression. Now, there are only 4 teams left so you can easily access the bracket and scroll over each team to see how this program sees each teams chances. I think this is a growing system and I wish this would be more incorporated in other sports.

  • Profile photo of Max Snyder

    https://www.wsj.com/articles/citizens-bankers-say-they-faked-data-for-customer-meeting-program-1490811468

    This article was interesting to me because I was considering opening an account inside of Citizen Bank but after reading this article on how the were creating false data just to meet their customer quotas I decided otherwise. In this article employees were scheduling meetings with customers without ever notifying the customer just so they meet their customer meeting quotas.

  • https://www.forbes.com/sites/thomasbrewster/2017/03/30/fcc-privacy-rules-how-isps-will-actually-sell-your-data/#74172a2121d1

    Apparently, after congress voted to lift the FCC’s broadband privacy protection policy, user personal data will now be able to be both accessed and sold by their internet service providers without the user’s consent. Before, user data would only be accessible to companies on the account that they were only being used for target advertising, but now, with the lift of the protection policy, user data is now able to be sold to companies, from user’s internet service providers, without user consent, to be used to the discretion of the company in which is buying the data. This article explains how the data has been used and how it will potentially be used in the future in relation to the consumer themselves. What happens to be the most interesting thing, is that congress has voted to make user data public, essentially, yet their user information cannot be accessed. What is even more significant about this is the fact that if one notices, this is just one of many infractions of the Trump administration as he pieces apart both significant and insignificant parts of the nation in an effort it seems to destroy an progress Obama had made in his eight year term.

  • https://www.washingtonpost.com/news/answer-sheet/wp/2017/03/30/how-the-sat-and-psat-collect-personal-data-on-students-and-what-the-college-board-does-with-it/?utm_term=.386b20a78da8

    This article talks about the data collected in a state exam such as SAT or ACT. They ask very personal questions including race and gender. These have nothing to do directly with the test and this article basically explains why they ask such questions. This is interesting to me because, in my own experience I always wondered what they ask such questions in these exams, I always selected the option that I do not wish to share because I did not know what they were going to do with that information.

  • Profile photo of James Dean

    http://www.dataversity.net/gold-big-data-analytics-process-mining-enterprise-data-assets/

    This article is on a sort of sub-category of Big Data mining, what they are calling Process Mining. This is the act of analyzing the flow of work in automated business sectors to find areas where money can be saved and time used in a more efficient manner. They also have a sort-of goal seek function, which uses machine learning and predictive analytics. This can demonstrate how much can be saved if given adjustments are made. In addition, the ability to set target goals and find ways of achieving them through process adjustments; process mining has made achievable. The co-CEO of Celonis, the company offering this new Big Data analytics, states companies are realizing 10-20% changes in margin addressing these inefficient processes. Celonis likens its Proactive Insight Engine (Pi) to giving a company an unbiased “Full body scan“, of sorts. This software allows a company to get a clear unbiased look at their processes and bottlenecks without the added cost and loss of time of hiring an outside consultant.
    I thought this was a great article. It related to many things we have been learning about in our class in addition to things in my own business context. Not that I in any way need or would benefit from Big Data analytics currently. It is just easy for me to see where a 10-20% change in margin could realistically mean the difference between a company having longtime success or failing. In some weird way, this class had made me interested in the uses and workings of this mysterious “Big Data”, which is a little less mysterious to me as of late. This article has addressed biasing of information and data, data mining, the addressing of shortcomings in KPIs, using goal seek functions in real life, as well as many other subjects we discussed in our Data Science class. I thoroughly enjoyed reading this article. It seems the process mining they discussed, can be used to help increase a company’s efficiency, and I believe will be a useful tool to many companies in the future.

  • Profile photo of Walter Kirby

    https://fivethirtyeight.com/features/mississippi-state-earned-every-bit-of-that-upset-over-uconn/
    This article interested me because the UCONN’s women’s basketball team has been the best for many years now, as they had built up a 111 game win streak prior to this loss to Mississippi State. And prior to this win streak, the team had a massive number before as well. A popular pick by many to win the entire tournament, the win by Mississippi State broke a lot of brackets. I am a big basketball fan, so the article interested me on how Mississippi State pulled off an upset that seemed improbable. In the tournament last year, the same Mississippi State team lost to the same UCONN team by almost sixty points. This year, it was a complete turnaround that ended on a buzzer beater. The article identifies how many more possessions Mississippi State had in comparison to UCONN which ultimately ended up being the driving force behind the biggest upset of the bracket so far.

  • http://flowingdata.com/2017/02/23/the-first-time/

    As soon as I seen this article’s title I had to instantly click it. I found it really interesting and funny that something so personal as when a couple had sex has been studied and documented. It was also interesting to see that men generally move in with their significant other before having a baby and marrying while for women it is the opposite. This has led me on to wonder why it seems to be that way.

  • Profile photo of Jibreel Murray

    https://www.forbes.com/sites/niallmccarthy/2017/03/22/report-u-s-projected-to-face-a-serious-shortfall-in-doctors-infographic/#1d4d46153f2c
    I found this article to be interesting because not only does it affect me but other Americans as well. The US is expected to see a serious decrease in the supply of doctors over the next ten years or so. The prediction on the shortage of doctors comes from a spike in the number of senior citizens, which is expected to rise 55 percent by 2030. The U.S will need 180,000 plus doctors to handle everyone’s medical needs. Maybe we should all consider medical school.

  • http://gizmodo.com/norway-gets-a-second-doomsday-vault-that-stores-data-1793935778

    So everyone knows about the Norway vault that holds seeds incase of an apocalypse. Well a second vault is being built for data. The data is being stored on a special photosensitive, multi-layered analog film. Countries around the world are asked to submit data significant to there culture. So far only Mexico and Brazil have submitted their projects.

  • http://gizmodo.com/norway-gets-a-second-doomsday-vault-that-stores-data-1793935778
    So everyone knows about the Norway vault that holds seeds incase of an apocalypse. Well a second vault is being built for data. The data is being stored on a special photosensitive, multi-layered analog film. Countries around the world are asked to submit data significant to there culture. So far only Mexico and Brazil have submitted their projects.

  • http://gizmodo.com/norway-gets-a-second-doomsday-vault-that-stores-data-1793935778

    This article describes new material that is being added to Norway’s “Dooms-day Vault”. The new thing being stored in analog film strips of data! In the case of a catastrophic event, the vault in Norway will not only contain seeds but also an array of data that details the cultures and histories of countries that submit to the project.

  • Profile photo of Kaia Bentsen

    http://asia.nikkei.com/Politics-Economy/Policy-Politics/Japan-to-urge-businesses-to-share-big-data

    This article is about how the Ministry of Economy, Trade, and Industry is encouraging companies in Japan to share their big data. This will let businesses see important data, so that they can develop new and better products. From sharing their big data, companies, such as those in the tire-making industry, will have data from automotive industries about when and where cars slip on the roads. With this information, the tire-makers will now have the ability to develop better tires and be able to specifically target the production of the tires to prevent the common slips. These new guidelines about sharing big data are a result of the “internet of things” age, and from the advancements in technology and increasing usage of big data. This is interesting to me because we have learned in class about big data, data warehouses, and open data, so it is cool to see these terms being applied in real-life.

  • https://fivethirtyeight.com/features/a-century-old-arctic-shipwreck-could-help-us-predict-extreme-weather/
    This article describes the importance of past data that helps with future predictions. In 1879 the USS Jeanette was a ship that left from a dock of San Fransisco in an attempt to win the race to the North Pole. On its way the ship got stuck in ice in the Bering Straight. For two years, the crew members wrote about their experiences on the ship and the weather patterns that happened. Now, scientists have retrieved the logs of the crew members and have been studying them along with the current weather patterns. Further down the road, these scientists hope to use the data collected by the Jeanette crew members of the weather patterns in that time in order to predict current or future weather patterns.

  • Profile photo of Keerthana Rachamadugu

    http://flowingdata.com/2017/01/24/one-dataset-visualized-25-ways/
    I found this article really interesting. The article presents 25 visualizations for one data set. The article illustrates the significance of visualizations and how each one can emphasize a different focus. The main idea of the article is about using visualizations to get to the point and speaking through your visualization. The article brings up 3 important points when you have a lot of data but you want to highlight certain point. The 3 points were ask questions, start with basics, and focus. The article mentioned picking out the most important aspects of the data by asking questions, start with basic visualizations that are simple to understand, and sticking to what you want your audience to get out of your visualization.

  • Profile photo of Amy Huynh

    http://www.independent.co.uk/life-style/gadgets-and-tech/news/android-app-steal-users-data-colluding-each-other-research-cartel-information-a7663976.html
    This article is about how Android apps collude with each other to mine users’ data. Virginia Tech researchers found out that these apps can communicate with each other and trade information. The researchers categorized the apps as “malware apps specifically designed to launch a cyberattack; and apps that simply allow for collusion and privilege escalation”. In addition, they concluded that the biggest security risks come from some of the least capable apps. I found this article interesting because there are a lot of people who could be in danger of their personal data getting breached. This article raises awareness to android users to be more careful and conscious of the apps they are downloading.

  • Profile photo of Parth B Patel

    https://qz.com/948340/congress-will-let-internet-providers-sell-consumer-data-so-rebels-devised-a-way-to-trick-corporations/

    I chose this article because it’s something really recent which affects all of us. The right to privacy is very important to me and to most people. Seeing the government allowing internet companies to sell user data is a huge breach of privacy. It’s crazy to see that something like could be passed and allowed. Even though in life a lot of things are about business and making money. With internet providers being allowed to sell consumer data they gain to profit massively. Imagine you are sending a letter to a friend through the post-office. And the post-office is allowed to open your letter look at its content and then go out and sell your content to buyers. How would you feel?

  • Profile photo of Veronica Antoni

    http://www.journalofaccountancy.com/issues/2017/apr/excel-and-benfords-law-to-detect-fraud.html
    I find this article particularly interesting because it talks about finding fraud committed using Excel which is one of the most used tools by many businesses and in some cases in daily life. Throughout this course we have mostly used Excel to find and solve problems with data but never to find fraud within its worksheets. I find this really helpful since fraud affects many people all the time and can cause many people to even lose money so I believe it can be really useful for those who along their career are going to work specially with accountancy or/and statistics, like me.

  • https://www.technologyreview.com/s/600957/big-data-analysis-is-changing-the-nature-of-sports-science/
    This article is about how data analysis in sports, changed the way many people view it. It starts off talking about how the book “Moneyball” and how Billy Beane (General Manager for the Oakland Athletics) was one of the first GM’s to build his team based of data. Beane took on-base percentage, slugging percentage and batting average into account when he was building his team from the ground up. The article explains how many owners and GM’s are trying to replicate this success by using different numbers and algorithms to build the perfect team. Sports have changed forever with the introduction to this new process of team building.

  • http://www.huffingtonpost.com/deborah-temkin/newest-data-show-bullying_b_14371638.html?utm_hp_ref=statistics

    This article shows us how important data can be and what data can even tell us. In this article, people collect data to show that bullying went down, but of course it is a problem. They tell us what age groups are more likely to get bullied and how many people are actually bullied. Numbers have gone down in the pass years. From data, they can even tell us why the children are getting bullied. The number one reason why people get bullied is because of their physical appearance. I think this kind of data is hard to measure because someone could think they are being bullied, but other people might not think the same thing. Being bullied is hard to measure.

  • Profile photo of Tyler McCaw

    https://www.forbes.com/sites/bernardmarr/2015/03/25/big-data-the-winning-formula-in-sports/#1ecc3e9c34de
    This article was very interesting to me because it is discussing how data can now be seen in the sports industry. Many professional organizations are allowing GPS trackers to be worn in both practices and games to measure how well there players are doing. In soccer (a.k.a. football) they just started allowing them in matches and it is measuring every time a player interacts with the ball. This will give the team managers information about passing percentage and other useful information that will allow every player to see what they need to improve. The idea that data will soon be able to help professional athletes is incredible. Athletes are always looking for ways to improve their game and this is a great tool to make that happen.

  • http://blogs.wsj.com/cio/2017/04/04/data-center-of-the-future-smaller-more-specialized-says-lenovos-stevenson/
    This article is about the change that the up-and-coming head of Lenovo’s data center infrastructure business is going to be implementing. Lenovo’s corporate data center will be changed to be smaller and to focus on tasks that will give the companies a more competitive edge. Companies are also looking into ways to make analytics in real-time more cost-effective in order to increase corporate spending on technology.
    I think this article is interesting because it describes the changes that companies such as Lenovo are going to undergo in the future in order to improve and progress the company. Making data centers smaller and more specialized can give companies the necessary resources to expand further into the technological world.

  • Profile photo of Alison Kline

    https://www.nytimes.com/reuters/2017/03/30/business/30reuters-britain-economy-consumersentiment.html?_r=0

    This article describes how British consumer morale about the outlook of the economy has been decreasing since Britain left the EU in June. This sentiment is based on data that shows how annual pay growth has fallen 0.7 percent in the three months from October to January. This data is important because it demonstrates a potential declining market of consumers for products, which impacts supply and demand for the region of the UK. Further research of data could show the impacts this decreasing morale on demand could have on the surrounding economies in Europe as well as many other economies around the world.

  • https://www.forbes.com/forbes/welcome/?toURL=https://www.forbes.com/sites/kurtbadenhausen/2017/04/02/wrestlemania-33-by-the-numbers/&refURL=https://www.google.com/&referrer=https://www.google.com/
    This article is interesting to me for two reasons. The first is because i am a wrestling fan, the second is because wrestling his been on a decline lately and it is interesting to see how the biggest show of the year did. Also, the WWE tends to inflate numbers for entertainment purposes so take anything in the article with a gain of salt

  • http://blog.thedataincubator.com/2016/08/economics-to-data-science-how-you-can-become-a-great-data-scientist/ This article focuses on the connections between economics and data science. As an economics major, I really enjoyed learning more about the connection between my major and this class. The article talks about how data scientists can give Economics students a fuzzy question and they answer it with Computer and Data Science, and then convert it back into comprehensible words a non data expert could grasp. This is a very important skill to have. It also talks about the 3 building blocks to becoming a great data scientist, which are: engineering, math and statistics, and common business sense; all of which Economics students have experience in.

  • http://www.consumerreports.org/health-privacy/the-hospitals-most-at-risk-for-a-data-breach/

    As someone who is now an adult, this article was a very important read for me because it shows how I can protect myself from a hospital data breach. All data breaches are dangerous in their own way. Hospital data breaches would expose a lot of extremely confidential information. The article states that it could also lead to identity theft. Although this article was short, it made me aware of the fact that all sensitive data can be breached.

  • Profile photo of Seth Keatley

    http://www.nbcnews.com/news/us-news/trump-signs-measure-let-isps-sell-your-data-without-consent-n742316
    This article discusses how President Trump just recently signed legislation that would allow internet service providers (ISPs) to sell your browsing history without your prior consent. Although they are not selling specific individuals’ browsing history, I believe this sets a dangerous precedent for ISPs. Maybe someone will develop a method that can determine who specific individuals are, when data about many people is purchased. Even though this is not possible yet (hopefully) any selling of our personal information puts us on a slippery slope.

  • Profile photo of Jamya L Day

    http://wmot.org/post/music-money-and-metadata-promise-blockchain#stream/0

    The article, “Music, Money, and Metadata” discussed how many music creators and record companies are not getting paid in royalties because of bad data that has missing ownership information. In response to this, there’s a new database system in the works called Dot Blockchain that keeps data on ownership, rights, and rules. This system will work better than previous database systems because blockchain (.bc) files “are much better at carrying metadata with the song than .MP3 or any other format in the industry today, because they can’t be changed or hacked.”

  • Profile photo of Moeed Faisal

    https://www.usnews.com/best-graduate-schools/top-business-schools/temple-university-fox-01193

    I chose this webpage outlining how our school Fox stands up to the rest of the colleges in the USA. This is important to every single person writing anything anywhere on this website. As long as the number in the cream box keeps getting lower, the value of our degrees keeps going higher. This isn’t necessarily an article, more like a combination or aggregation of data and some insights along with that data. It gives an idea to prospective students what to expect when they attend the Fox School of business. It helps us figure out the right college with the right attributes.

  • Profile photo of Robin Goetz

    https://fivethirtyeight.com/features/a-century-old-arctic-shipwreck-could-help-us-predict-extreme-weather/
    This article describes how scientists use old logbooks, which recorded weather patterns hundreds of years ago, to retrieve data from them and use it to gain insights about the melting of our polar caps and climate change. I found very interesting that the scientists working on this project, which is focused on improving the ability to predict extreme weather by examining historic weather data, uses a platform called Zooniverse. Zooniverse can be described as a crowd sourcing social network for scientists. Scientists can post projects, which users can then participate in, and e.g. download a small part of a massive data set, e.g. a few days of a logbook, which they then transform into useful data points, e.g. digitalize the handwritten ancient entries. This speeds up the work of scientists immensely and was something I thought was very interesting, as it allows humanity to share their resources and manpower and tackle big challenges we are facing, especially something like climate change.

  • https://www.wsj.com/articles/banks-turn-to-virtual-world-to-modernize-physical-commodities-trading-1491303623
    Blockchain, the technology responsible for bitcoin, is finding greater application in different markets. The latest innovative application is in the world of commodities trading. Commodities trading is a field historically centered on the paperwork that governs ownership of physical goods during the exchange process. The inclusion of blockchain technology would transform this process, and the market, by creating smart contracts powered by data from points along the exchange process to cut down on the time and costs of the current system. This newly decentralized system would rely on digital codes and an immense amount of data that would record and track every transaction and be available to any involved party. This integration of blockchain is another step in the continuing trend of data dominance in finance.

  • Profile photo of Ellen Gbeyeh Wiah

    http://www.federaltimes.com/articles/ross-touts-commerce-departments-public-private-collaboration-on-data

    This article was about The NITS a research and development component of the Department of Commerce, that is looking to foster a public-private sector collaboration on data solutions. The idea is to allow private data companies access to data of federal agencies and combine the to create solutions. The belief is that when commerce data are connected with other federal data, it will strengthen our economy and help inspire better policies. Combine these data can maximize the potential of the Internet, expand broadband capacity, enhance cyber-security and deliver improved public services.” I think this idea is interested because it can revolutionize data collection and usage but it’s also dangerous because combine both data sources can have a person’s entire life and there will be no privacy.

  • Profile photo of Jordan Massey

    https://www.nytimes.com/2017/04/03/arts/music/drake-billboard-chart-more-life-streaming.html?_r=0

    ‘This article is about the streaming data and a new streaming record set by Drake’s “More Life” in its second week on the Billboard charts. Drake’s more life set a new record at 253 million new streams which is down from the 385 million streams mark it did in its first week. This information is important as the music business is making a sharp transition to streaming as opposed to selling physical copies of albums and other projects. Last week, the Recording Industry Association of America reported that in 2016, streaming generated the majority of retail revenues for record labels in the United States, pushing the overall business to its biggest percentage gain in 18 years.

  • Profile photo of Luke Greenley

    https://www.forbes.com/sites/bernardmarr/2017/03/28/the-amazing-way-ge-is-combining-big-data-and-electrons-to-create-the-internet-of-energy/#139f6f181806
    In this article, it is discussed that GE is attempting to create an “Internet of Energy” by using electrons in tandem with Big Data. As GE provides 30% of the worlds energy through turbines and energy, they have access to an extremely powerful network. Their goal for the Internet of Energy is to transmit a bit of data through its delivery and distribution infrastructures along with the electrons already being sent. This process, they believe, will create a more networked model and an overall more powerful network for the constantly changing and updated world.

  • Profile photo of Kahleem M Wilkins

    https://journalofbigdata.springeropen.com/articles/10.1186/s40537-017-0066-7

    This article talks about “Quality management architecture for social media data”. Social Media is huge part of our society today. I found it interesting because I never thought to look that in depth to the quality management of social media.

  • Profile photo of Elijah Wilder

    http://www.gallup.com/poll/207671/affordable-care-act-gains-majority-approval-first-time.aspx?g_source=Politics&g_medium=lead&g_campaign=tiles

    This article talks about the the approval ratings of the ACA between February and March. I think the most interesting is the the change within the parties, where ~10% more people for every party started supporting it. I feel like this is a clear indication to Republican representatives in Congress. While repealing and replacing the ACA will boost their popularity within their base, fixing the the problems in the Affordable Care Act will not only benefit more Americans, but will also give the republicans a better chance at winning more seats during the next election.

  • I found this article interesting because it displays many different infographics, which shows how most of them aren’t even useful. It gives you the three main points that you need to focus on while you are making these infographics. One is asking the data questions, starting with the data visualization and last just simply focus. Asking questions help you filter your data so you have a clearer idea of what the customer wants the infographic to show. Starting with the basics allows you to create a simpler infographic so you don’t go over the top and make it too complicated for the customer. Focus eliminates any gimmicks you may want to add onto the infographic, it keeps you on track. http://flowingdata.com/2017/01/24/one-dataset-visualized-25-ways/

  • http://www.techrepublic.com/google-amp/article/march-madness-5-data-sources-that-could-predict-the-2017-ncaa-championship/

    This type of data always has me questioning what is right and wrong and what you can believe is credible data. Yes, this is from a reliable source and is believable/ factual but the actual results didn’t happen in the NCAA Men’s Basketball tournament. It is almost impossible to pick the March Madness bracket perfect and that’s what this website tried to do through data from the regular season. If you look at the website you’ll see the teams that they thought were going to win through the best data and stats from the regular season was going to win. UNC was the only team they had correct through numbers, but it’s interesting that you can make a data analysis through college sports.

  • Profile photo of Patrick Murt

    https://projects.fivethirtyeight.com/trump-approval-ratings/

    I chose this article because it contained data relating to Donald Trump’s approval rating while he currently holds office. We can see in the article that in early February of 2017, Trump’s approval rating was higher than his disapproval rating. However, this quickly changes towards the middle of February, leading into March, for his disapproval rating skyrocketed and his approval rating plummeted. It’s evident that the decisions he has made in office so far haven’t sat well with the rest of the country, which is not necessarily the best way to lead.

  • http://www.dataversity.net/visualize-drive-optimize-customer-experiences-teradatas-customer-journey-solution/
    I find this article interesting because there are still many ways to improve on our data and how we can use it. This article talks about how many enhancements have been made to the Terradata customer journey solution. It provides an easier access to analytics, machine learning and more.

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Office Hours
Ermira Zifla (instructor) 10:00am-12:00pm Wednesdays, Speakman Hall 207C or by appointment.
ITA
Prince Patel (ITA) by appointment only. Email: tug04032@temple.edu
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