Section 004, Instructor: Larry Dignan

Weekly Question #2: Complete by Feb. 5, 2018

Leave your response as a comment on this post by the beginning of class on Feb. 5, 2018. 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!

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Here is the question (well, it’s not really a question):

Find a online article dated within last two weeks from a credible source that has something to do with data. It can be about the role of data or an interesting data-driven analysis. It should also be relevant to your major and of interest to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

You can use any of the sources under the “Great Data Sites” menu on the right sidebar of this page, or you can use any online news or magazine site.

32 Responses to Weekly Question #2: Complete by Feb. 5, 2018

  • I found this interesting article of how data can be used to reduce work-related injuries and illnesses. The article discusses that variety of data sources on collecting health data makes it hard to identify hazards that causes work-related injuries. It would be easier and improved when there is a comprehensive and uniform surveillance system. Improved data collection method and data analysis will prevent injuries and illnesses.

    Source:
    https://www.insurancejournal.com/news/national/2018/01/18/477457.htm

  • Sadly, in recent years, mass shootings have been on the rise. A set of data plotted on a chart displays that as time goes on, the shootings become more common and the number of people increase. It is crazy because just the other day my roommate was telling me she lives 10 minutes from the Sandy Hook Elementary school and she remembers the day the horrific event happened. She said the school was a crime scene for months and the administrators planned on never having the children return to that building. Overall, it is important to have data as such so we are aware of the magnitude of such situations.

  • I picked this data source because it relates to marketing which is my major. Marketing has always been interesting to me and market data is essential to every type of companies. Market data provides marketers with information on consumers and helps them create a plan to sell to potential costumers.This data is based on sales and change in sales which is essential to see what people are buying and what there not buying which is just as important. https://www.census.gov/mtis/www/data/pdf/mtis_current.pdf

  • https://www.vox.com/technology/2018/2/1/16945120/strava-data-tracking-privacy-military-bases
    I chose this article because it showed me how scary Data collection can be. Although many argue it to be solely for safety, articles like these that suggest such simple things like fitness apps can put people at such great risk. I’ve always thought of all the pros technology brings, but now it makes me question what are the cons?

  • https://www.wsj.com/articles/dilly-dilly-bud-light-tries-rallying-wholesalers-as-sales-slump-1517567401

    I chose this article because I think Anheuser-Busch created the best marketing campaign I have ever seen. Budweiser is all in on “Dilly Dilly” and the toast has now become a social media catchphrase. Budweiser’s market share has been slowly declining since 2004 and just last year they had suffered a 2 million barrel loss in volume sold. Decreased volumes sent Bud’s pretax earnings per case down 2% last year at one distributor in Florida. Bud is betting big on this marketing campaign and from my personal experience I believe it is paying off. Time will tell how that will increase sales and/or market share, but they are definitely on the right trajectory. Dilly Dilly.

  • I chose this article because medical records are something that will be relevant in my field of Psychology. I found this interesting because in the article they said that the medical field has been concentrated on the patient rather than cybersecurity. That it is easy for cyberhackers to steal information and order medical equipment and drugs as well as personal information of the patient such as bank records. I think more time should be spent on making sure peoples information is protected since this is such vital information.

  • https://www.theguardian.com/inequality/datablog/2017/jul/17/which-countries-most-and-least-committed-to-reducing-inequality-oxfam-dfi

    I choose this article because it had to o with the inequality created by tax structures and government spending. I found it interesting to see which countries were putting in effort to help stabilize the gap between the rich and the poor and the ones that were not doing a good job. The data provided in this article paints a clear picture of what needs to be changed and what needs to be mirrored. I am a religion major and seeing the inequality which is built into a system that no one asks to be born into is shocking and upsetting since some people will never have the opportunities I have been blessed with.

  • The reason I choose this article because these huge cooperations are the leader in their industry which mean their interest might have a big impact in the health industry. Second is they all have the resources and data to disrupt the health industry individually but by combining together the power is even stronger. The third is this really a great example what big data can affect real life if they know how to use it. Obviously, there is concern that we need to address such as the issue of privacy or the disruption in health care price. Nevertheless, i think this change is good for the people in general.

    Source: https://www.economist.com/news/business/21736193-worlds-biggest-tech-firms-see-opportunity-health-care-which-could-mean-empowered

  • http://flowingdata.com/2018/01/29/finding-fake-followers/ – Link to data visualization
    https://www.nytimes.com/interactive/2018/01/27/technology/social-media-bots.html – Link to original article

    I found this data visualization and article interesting because they show data about fake followers on social media. Anyone, from celebrities to brands, can pay to increase their number of followers. These are not actual people, but bots that personify an actual person. The number of followers that people have can determine things like their earnings, brand deals, and overall social media influence. Although people rely on the number of followers to determine these things, this is actually false data.

  • As a marketing major, big data is important more than ever when implementing a strategy. Giants like Amazon, Google, and Facebook own there data, making it easier to decipher and pull data for use. However, third-party demand-side platforms (DSPs) that gather mobile data take longer to comprehend the data and make it available to other companies. Amazon, Google, and Facebook have the advantage of owning their own data and getting it faster than DSPs. This affects in time mobile marketing like the article suggests. It brings the question of should be automated data. This exchange brings in a higher cost, but a quicker turnaround in data collection for DSPs.

    Getting the data faster is important for marketers so they can implement timely advertisements that are more in the moment.

    Source: https://adexchanger.com/data-driven-thinking/old-data-holding-back-mobile-marketing/

  • https://www.theguardian.com/news/datablog/2017/dec/07/datablog-children-parents-time-read-this-before-you-have-a-baby-especially-if-youre-a-woman

    I found this article interesting because that was the topic of the conversation between one of my girlfriends and I the other day. The article talks about the amount of time spent by males and females on their daily activities, including work, leisure, and sleep depending on their marital status and having/not having children. I think this article provides an important piece of information for those people who are still unsure how they picture their future life – family/no family, kids/no kids. It is necessary to understand that a decision to have kids comes with sacrifice – not only is it a major emotional and mental investment, but also time and career expectations that need to be adjusted. It was also pretty surprising to note that despite a widespread concept of equality within the couple in the United States (as seen from my international perspective), wives and mothers have to give up and sacrifice a lot more in order to have children, according to data.

  • https://www.forbes.com/sites/baininsights/2018/01/22/breathing-new-life-into-life-insurance/#7b4e39a04819
    I chose this article because it is about life insurance and the price increase over the years. I think this article is interesting because even though insurance companies are trying to reduce the price of their plans, the cost is still rising due to bloated costs. I also found it interesting that the productivity of agents has been slacking, which can be another reason why the prices are not being trimmed.

  • This article examines the bias of news media globally. As someone who studies media, this is an important question and issue, since it is difficult to report without any bias. The data shows that the majority of people believe news should be reported without any bias, but, globally, only a median of 52% believe it is being done well. Interestingly, it showed that Latin America is the most critical, while sub-Saharan Africa and the Asia-Pacific Area had the most trust.
    http://www.pewglobal.org/2018/01/11/publics-globally-want-unbiased-news-coverage-but-are-divided-on-whether-their-news-media-deliver/

  • https://looker.com/blog/super-bowl-2018-predictions-analysis

    I picked this article because I am a Sports Management major and I am very interested in sports. I found this article interesting due to all of the data going towards the Patriots yet the Eagles still won. It shows how some data that has been gathered throughout the season will not always continue on a positive slope.

  • http://www.electronicbeats.net/war-against-the-machines-how-ai-is-changing-the-way-we-make-music/

    As a music production major, my career outlook is unorthodox. Lately, developers have created AI systems that can literally create music on their own. In the article, the robot created a Beatles inspired song called Daddy’s car. I found it interesting after listening to the piece; what i derived from it is that I may not be able to have a studio engineering job maybe in 5-10 years. The technology is constantly developing.

  • https://www.vivaelbirdos.com/2018/2/5/16972226/cardinals-sabermetric-analysis-baseball-prospectus-pitch-tunneling-carlos-martinez-and-the-rest

    This article talks about a baseball concept called “tunneling”, and gives relevant data about tunneling. Tunneling is basically the practice of a pitcher to make all of his pitches look like the same pitch, yet the pitch actually follows its natural tendency. For example, a pitcher wants his fastball and his changeup to come out of the exact same release point, both pitches looking like a fastball, but he wants his changeup to “fall off the table”, while he wants his fastball to continue on a straight path. As baseball continues to become more analytically driven, data about such concepts becomes increasingly valuable, as teams try to gain any advantage they can. Understanding paramount concepts such as tunneling, and then having useful data to help understand the topic is such an important aspect of the game of baseball.

  • As an Economics major, the last year has been very exciting. Since the 2016 presidential election, the Dow has set a new record closing high 96 different times. While the economy has seemed to be booming over the last year, it is very important to be wary of this success and not let it go to our heads. With consumer confidence sky-rocketing over the last year, something as simple as a slight increase in interest rates could quickly “burst the bubble” of our exciting economic growth. I like this article because it tries to bring its audience back to earth. By using solid statistics, the article makes a firm case for why we should all take a deep breath and be a little more cautious about this very exuberating economic boom.

    https://www.economist.com/news/finance-and-economics/21736172-markets-have-wobbled-inflation-expectations-have-risen-might-higher-interest

  • While working in the real estate development industry I’ve become curious as to how technology and data can help advance certain aspects of buying, selling, marketing, constructing, and contracting real estate. The Forbes article I chose gave a brief rundown on how data impacts the business world. It noted that the real estate industry, who is further behind the curve than most, could be in line for a data revival. Something that stood out to me was the idea of implementing AI for marketing, advertising, and development purposes. Besides all the cool opportunities data can bring to an industry the author also wants readers to be aware of the harm that data can have on an industry when not constructed with utmost security. After many economic ups and downs and with security and many innovative ideas in mind, this particular industry could be set for a substantial revival.

    https://www.forbes.com/sites/forbesrealestatecouncil/2018/01/22/what-predictive-analytics-big-data-and-the-rise-of-artificial-intelligence-mean-for-real-estate/#2d3e1bf374eb

  • https://fivethirtyeight.com/features/five-blue-states-could-determine-who-controls-the-house-in-2018/

    This article looks ahead to the 2018 congressional elections in states, and looks specifically at populous states the Hillary Clinton won in 2016. The article looks at the vulnerability of seats that are currently occupied by Republican Congressmen in these states. The article is interesting because it outlines a way for the Democrats to gain a House majority just by 25 Republican seats in Democratic states flipping parties. This article asserts that not all the seats are guaranteed to flip and there other more likely ways in which the Democrats could gain the House majority, that involve seats flipping in the South and Rust Belt, and also identifies certain demographics in each district that could influence the outcome of these elections. The article concludes by hypothesizing that media attention will be paid to well-populated blue states rather than red and swing states. This article is interesting because it identifies a set of circumstances that are unique for election coverage, and points out the high potential for a party majority switch in the house.

  • I found this article interesting because in today’s world Artificial Intelligence (AI) has grown tremendously in the past few years, and is going to continue to grow. This article specifically talks about Deep Learning (DL) updates in artificial intelligence which trains machines to act like humans. Right now data security is going to be the most important part of the data science world in 2018, right now many of the Deep Learning AI systems will fail the security regulations set forth. General Data Protection Regulation (GDPR) will go into effect by May 25, 2018. Currently I am a marketing major and likely to be an MIS minor, I will need to be well informed about AI systems and data acquisition to stay up to date with our expanding technologies.
    http://www.dataversity.net/deep-learning-updates-machine-learning-deep-reinforcement-learning-limitations/

  • https://www.marketwatch.com/amp/story/guid/7097c803-db29-4f1b-91ec-1376d5e64e26
    I chose this article because I found it interesting how the health care industry has created an app for their consumers to apply a data driven intelligence to the consumers health data. This app allows consumers to request or send their health records using direct messaging. This technology will benefit health care providers with quality metrics, population health analytics, and data-driven care management.

  • https://www.nytimes.com/2018/02/02/sports/football/eagles-analytics-super-bowl-lii.html

    As a Philadelphia native for all 22 years of my life, the Eagles winning the super bowl holds a special home in my heart. This year is their first super bowl win ever. Contrary to my own prejudice before reading the article, this New York Times article suggests that this season has been driven by data analytics. I’ve always imagined that there is intellectual thought behind calling plays but I would never have foreseen insights such as short term fail plays being used for long term gain during a game. I like this article because it brings greater depth to a sport that is, on occasion, stereotyped as being violent and riot inciting.

  • https://www.theguardian.com/world/2018/jan/28/fitness-tracking-app-gives-away-location-of-secret-us-army-bases
    I found this article on Flowing Data and was directed to The Guardian. The article talks about how Strava had released a map detailing the routes taken by the app’s users which included active soldiers. This article should serve as a warning to people to be more responsible with what they are mapping. This data release by these actives soldiers reveals our military bases and routes in the US and in hot zones such as Afghanistan. This map could be used to attack these bases.

  • https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-valuable-resource
    This article talks about how data is becoming the worlds most valuable resource. It looks into big companies like Amazon, Apple, and Facebook and talks about the data they have gathered and how it can be resourceful to us. It compares how companies compete in the amount of data they gather through the internet from computers to smartphones. Primarily, this article talks about how much technology has changed with introducing data and that large resources like oil are not as important as they used to be by society.

  • https://fivethirtyeight.com/features/sneaky-stats-that-could-decide-the-super-bowl/
    The data source I chose talks about different stats that could play an effect in the Super Bowl and predict the outcome. Football has always been one of my biggest passions and I always tune in every week to watch the games on TV. Many of the statistics from the players and team proved to be true and have an outcome on the game Sunday night. Although no one is ever able to know for sure who is going to win a sporting event, people are able to make an educated guess when looking at the teams and players stats. The world of sports is one of the largest industries in today’s world and it is always expanding, which is why evaluating statistics within the game is huge.

  • This article explains the specifics of big data and its applications and benefits to society. It explains things like volume, variety, and velocity and the infrastructure used to improve the processing speed of the 3 v’s. As an MIS major, learning about the specific methods and variances behind different infrastructures is invaluable information. Another interesting part about the article is the uses of big data. The article talks about uses such as customer analytics, operational analytics, fraud prevention and price optimization.

  • https://hackernoon.com/learning-languages-very-quickly-with-the-help-of-some-very-basic-data-science-cdbf95288333
    This article is basically a walk-through of how a data scientist approached the task of learning a new language. It is really interesting to see his approach, because it is a data-driven approach to learning something new. It is also interesting how he does not use any programming language(like R, Python) but rather the bash command line to do the data analysis. The author basically analyzes subtitles from various moves, as he believes that subtitles are a better way to understand and learn common words rather than reading and memorizing from a dictionary. He tries to learn these common words and then watch the movie/show in the language to understand conversational patterns.

  • https://hackernoon.com/learning-languages-very-quickly-with-the-help-of-some-very-basic-data-science-cdbf95288333
    This article shows a data-scientists approach to learning a new language. It is interesting to see how he takes a creative data-driven approach. The author basically takes subtitles of common tv shows and movies that are translated in different languages, and then he analyzes them based on the frequency of words. He then tries to memorize these words, and then look at the show/movie to understand conversational patterns.

  • https://hackernoon.com/learning-languages-very-quickly-with-the-help-of-some-very-basic-data-science-cdbf95288333
    This article is a walk-through of how a data scientist took a data-driven approach to learning a new language. The author analyzes the translated subtitles from popular American tv shows and movies and tries to find the most used words in the language that are used in conversation. He then memorizes these words and watches the show/movie to understand conversational patterns. This is a creative approach and shows us the power of data science and it’s applicability.

  • I came across an article about data literacy, which is a topic relevant to my major and my intended career path. This article discussed findings from Qlik, an organization dedicated to improving data literacy, which concluded that deficient data literacy in the workplace is keeping employees and companies from making “actionable insights,” or strategic, purposeful, and objective decisions driven by evidence and numbers. It is especially crucial for companies and organizations to make data literacy a priority as data continues to be created at a rapid pace; this resource will ultimately help them keep up with the ever-changing cultural, social and economic landscape. With this information, depending on the organization, they will be better able to serve their audience, whether they are attempting to make a profit or successfully implement outreach programs.

    https://www.businesswire.com/news/home/20180129005256/en/

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Office Hours
Larry Dignan lawrence.dignan@temple.edu Alter Hall 232 267.614.6467 Class time: 5:30-8pm, Mondays Office hours: Monday hour before class, half hour after class or by appointment.