Laurel Miller

  • Just a reminder that your final exam will be on Thursday, May 4 at 10:30am in the same room as class.  Please be on time.  Students will not be permitted to enter late. Please make sure that all missing a […]

  • Just a reminder that your final exam will be on Thursday, May 4 at 10:30am in the same room as class.  Please be on time.  Students will not be permitted to enter late. Please make sure that all missing a […]

  • Describe your experience?  Anybody staying on part-time?  Anybody have a lead on a permanent job?

    • I will be starting with Deloitte full-time in July! This internship incited confidence in me, since I already did the work of an analyst, so I am comfortable doing it when I start. I also feel well-prepared, as I have a network at Deloitte and an understanding of what it takes to be successful. With consulting, I do not know on which project I will be placed, but knowing about the firm’s processes goes a long way.

      I enjoyed my internship and learned new skills in Excel, XMLs, software creation, quality assurance, etc., which I plan to transfer to my full-time position. Speaking with consultants, I realized the value of extracurricular activities, so I hope to get involved from the very start. I have a feeling that the softer skills learned and understanding of the firm’s culture will only increase in value over time. I am very excited to start!

    • Overall the time I spent at my internship was amazing. I can honestly say that I enjoyed and actually looked forward to going in the office each day. I was given a great opportunity to dabble in different areas in order to see what opportunity would benefit me and the company the best. Between working on several ongoing projects and traveling to multiple cities over this time, was truly exciting. I was offered and have excepted a full-time position at the company and look forward to what this opportunity will bring. It is nice to have found and be a part of a culture that is fun and uplifting, but also works hard and is passionate about the business process. Plus, being here, I am challenged everyday.

    • I loved my internship at QVC. I learned so much and got a lot of exposure to different teams within the Interactive Department. It was great having the opportunity to work so closely with another intern and this really allowed me to improve my communication skills. I just presented our SharePoint site the vice president and team leads this past week and everyone was pleased with what was delivered. It is very satisfying to know that what we’ve created will be used and help improve the way documents are managed by the department. I met a lot of great people during my internship and made a lot of connections. I have an interview this week for a different position at QVC. I love the culture there so I would really like to start my career with QVC if this opportunity works out.

    • My internship experience at Bquipped was amazing. During the 10 months I spent working for them, I learned so many great skills ranging from business analysis to project management, and also data analytics. I plan to transfer to these skills and leverage them in my full time career. I think that the experiences I have from Bquipped allowed me to enhance my passion for IT, develop core competencies, and overall further my knowledge as a business person.

      I start my career in June with Pfizer as a business technology rotational associate. I’ll be working in their innovative health department, which is comprised of 6 different business groups. As a rotational associate, I will complete four unique 6 month rotations in my first 2 years with the company. My first rotation is as a business analyst, so I will have the chance to utilize the skills that I developed while working at Bquipped, and also through the MIS curriculum.

    • Unfortunately, the analytics team already has more than enough full-time analysts, so I wouldn’t be joining the team as a Full-Time employee. However, I will be working until June and at the end of the co-op will have a 5 month of experience under my belt. In the past 4 months, I learned the deeper details of the catastrophe risk analyst role and the finer points of the insurance and reinsurance industries. I learned how the process flow works, worked on 6 projects and helped serve client’s goals and objectives successfully. The team was extremely helpful and the training I had at the beginning of the co-op been vital to my success in the role. I am grateful for the fantastic opportunity that Guy Carpenter has provided me with and feel that the skills I’ve obtained at the job are easily transferable to other roles in the industry. Learning how software works in class is helpful. It’s even more helpful to combine the knowledge from class in a life scenario at the job.

    • My time at the School District was a great learning experience and I enjoyed everyday. My coworkers and mentors have taught me a great deal of the “real world” and how I need to adapt in order to make a healthy transition into the workplace. Though it was a short time there, I will not be returning as a I will be starting my full-time position at Vanguard. I will be working in the investments department. It is not really MIS related, but I am excited to learn more about the financial field so that I can leverage it in the future.

    • My experience with VIP was extremely informative and helped me further my technical skills as well as professional skills. My data analysis skills have significantly improved as well as my ability to use excel on an advanced level. I will not be staying part or full time at VIP because the position was unpaid and left me un-motivated to continue. I plan on using these skills and accomplishments to build my resume and help me secure another position for next summer.

  • Leave your response to the question below as a comment on this post by the beginning of class on April 27, 2017. It only needs to be three or four sentences.

    What was the most important takeaway (from y […]

    • Data is everywhere. Looking at raw data can be confusing and long, but it’s the process of using those raw data to make something out of it is actually fun. Using tableau for visualization is also very fun and will be useful for the future.
      This course is an introduction to MIS and you actually learn more from MIS0855 than MIS2101 in a sense of using data to understand it and make decisions. In MIS0855, you actually work with data.

    • When thinking about the major takeaway from this course the first thing that comes to mind is the simple fact that data is incorporated everywhere and is extremely important to many aspects of life. If I had to explain this course to someone else I would tell them that it is about data and how to manage and transform it into visualizations. I would also tell them that working with data can help you understand it better and be more comfortable with big data. Overall, the introduction to MIS and data is shown to be very useful in the real world which is explained and showed throughout this course.

    • The major thing which I have learned during my time enrolled in this course is how big of a deal data actually is. It is involved in practically everything that we do. In this class, we had been constantly working with data whether it be with our in class activities or our individual assignments. Observing and working with data is very important and there is a lot to be taken away from it. When we had discussed the concept in the beginning of the class that “data is everywhere”, that seems to certainly have been proven to be true.

    • The most important takeaway from this course for me is that data is applicable to nearly everything you do. Data is everywhere, and ignoring the ability to use data in your life is irresponsible. It is an incredible asset to be able to know how to analyze and create data.

    • My biggest takeaway from this course is the knowledge and perspective I have learned about the importance of technology in every aspect of our society. There is data and technology behind everything that we do and it is one of the most important aspects of a business. This course has taught me many things and has opened my eyes to the world of data we live in.

    • The most important thing I learned in this class was the importance and relavence of data in todays society. Before taking this course I understood how data worked, but not on the same level as what this course shows those who take it. Using Excel and Tableau has changed my perspective on the topic, as their are many different ways to interpret and analyze data. As technology and society keeps progressing, the ways to analyze data will become easier and more efficient. With that said, learning to use applications such as Excel and Tableau will come in handy throughout the future.

    • The key takeaway I received after taking this course was how to use the different variables and functions of Tableau in conjunction with Microsoft Excel. This includes the ability to understand how these functions work and why they work as well. The daily activities in class greatly helped me understand the principles taught in class since the exercises were very hands on. I know that I will be able to use Tableau in the future for data visualizations and developing info-graphics. If I had to explain to a scholar what this course was about, it would be described as being all about data. Data is the tool used in this course and in everything we do to gain information and knowledge.

    • The most important takeaway is that data is in everything we use. Mostly as students who are always on social media, data is also included in these websites. Also, another takeaway is Tableau, I honestly never knew what it was but now know have to create different types of infographs. Also, the “Filter Bubble” because many of us look up things then have to deal with seeing it all around the web. All of this is from something called “Filter Bubble” and if you want to search without that happening use

    • The most important takeaway I got from taking this class would be how data is everywhere and there are many ways you can interpret data. I learned how to examine data on excel sheets and visualize it in charts on Tableau. Some of the assignments were difficult but I learned a lot and how to use columns and rows in Tableau and gather information in one chart. Data is used everywhere and it is significant in many unique business practices.

    • In this course, I learned a great deal about what Big Data is and how is will affect me. Since Big Data is all around, one would need to be able to organize and analyze it in order to stay in the trend, and not get left behind. Something else to takeaway is the skill in Tableau. Excel may provide the basic graphs and charts, but Tableau has much more appealing and better suited graphs and charts.

    • In this course, the most important takeaway would be the importance of data in everything we do. Before I always thought data was useless and then after taking this class I learned that data can be very useful for everything. It can make a unsucessful business turn successful, it can help win an election, and many more. This class was primarily about the beginnings of data how to find it how to use filtered data and how the data can help you.

    • If I was recommending this course to someone else, I’d start by mentioning how the overall theme is about data and the numerous things it can do. We often overlook what data can actually do for us and how much of it is out there. We can transform, edit, fix, and create tons of different things with it, allowing people to understand things better in so many different aspects. From tableau to regular pictographs and excel spreadsheets, the amount of understanding in data is extremely enhanced and is the first stepping stone of developing more skills in business.

    • The most important take-away from this course was realizing how important data science is. With exponential technological growth the online world and collect of data becomes more and more important. I also can recognize how data affects me everyday, and what I can do to use it for my benefit.

    • I had two major takeaways from this course. The first was the basic usage of excel and tableau that I will use for the rest of college and in the professional world. The other takeaway was the importance of data science in my everyday life. I never looked at data the way we looked at it in this class, and it interested me.

    • The biggest takeaway I got from this class was the use of tableau. I have never used this software before, and it was a nice challenge to get used to. If I was to describe this class to someone I would say it has a lot to do with actually understanding quantitative data and how to find it using tableau and excel.

    • The major takeaway from this course is that data is omnipresent and plays a vital role in daily practical applications. We overlook the importance of data in our day-to-day lives as there is so much we can learn from a simple data set. Through this course, I have learned how to analyze data with data tools such as Excel, and represent that data through visualizations by using Tableau. Additionally, you learn essential data analysis techniques such as data mining, KPIs, data integration approaches, and predictive analysis, to name a few.

    • One of the most imperative takeaways for me from this course was the beneficial skill of applying Tableau in the general business environment. For instance, even though Excel is great at creating various types of graphs, Tableau is the next advanced level from which one can depict the quantitative information in a feasible manner.

      Finally, I would tell a future MIS0855 scholar that this course is about analyzing data via a creative and innovative software called Tableau that helps one portray the numeric information in an easily digestible manner. Furthermore, the class also enhances one’s knowledge on the type of data that correlate with the type of charts in the software.

    • One take away from this course is that data is every where and very important. Most companies have an assortment of data but do not know what to do with it. Learning how to analyze and make use of the data can be very beneficial for a student’s future and a company’s future.

  • Leave your response to the question below as a comment on this post by the beginning of class on April 27, 2017. It only needs to be three or four sentences.

    What was the most important takeaway (from y […]

  • Here is the study guide for the third (final) exam.

  • Here is the study guide for the third (final) exam.

  • Here is the link for the driver download

  • Here is the link for the driver download

  • Here is the exercise.

    And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].

  • Here is the exercise.

    And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].

  • Please be sure to check the gradebook for any unanswered discussion questions or missing status reports.  The final powerpoint is due May 1.  Your eportfolio page should also be completed at that time.  If you on […]

  • Leave your response as a comment on this post by the beginning of class on April 20, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]

  • Leave your response as a comment on this post by the beginning of class on April 20, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]

    • For Blackboard:
      Columns would be course, the semester, grade, professor
      Rows: the name of the course, SPR/FALL, A-F, name of professor

    • For Snapchat,
      The rows will be each person you snapchat.
      The columns can hold data relating to each person you snapchat, such as friend information (name, username, snap score, etc), friend emojis, and time stamps, etc.

    • For Facebook:
      The rows would be your friends
      The columns would be information about that person such as their latest postd, birthday, where they live, etc.

    • For the bank account,
      The row would be each transaction.
      The columns would be the place of the transaction, the amount of money in the transaction, the available amount of money left in the account.

    • For an Amazon purchase,
      The rows would be the name of the person the item is for
      The columns would be the transaction number, the address to send the item to, name of the item

    • For Instagram,
      The rows would be the individual’s profile
      The columns would be the followers and the people one is following

    • For Youtube,
      The rows would be the Video Name
      The column would be the description, how long the video is, and what kind of video it is.

    • For Twitter,
      The rows would be each individual’s Twitter name.
      The columns could include: how many that Twitter account follows, how many follow that Twitter account, how many tweets that Twitter account has, how many media tweets (images/videos) that Twitter account has, etc.

    • For facebook,

      The Row would be the name of a user’s account

      The columns would be how many posts they have, how many likes they get, how often they post, how many friends they have, how often they comment on other posts, etc.

    • A data-driven service I use regularly is email. The rows of data would subject line and the columns would be recipient, whether or not there were attachments, length of the message, and date sent.

    • For a blog,
      The rows would be the blog entries.
      The columns could be entry name, date, word count, views/impressions, and number of comments.

    • For the Stock App on the iPhone,
      Rows: Stocks names,
      Columns: 52W high, 52W low, Current price, and whether it was positive or negative from the previous day.

    • For a news app
      Rows – Each individual story
      Columns – Topics/Categories for type of stories

    • For Uber or Lyft:
      Rows would be the customer IDs
      Columns would be Driver ID, Cost of Trip, Time of Pickup, Time of Dropoff, and the Rating of Trip out of 5 stars

    • For Seeking Alpha (Stock Market Application)

      Rows: Would include an individual security & what sector of the market it resides with. Could include possible competitors.
      Columns: This can include the current price per share, dividend payment, current return, cost basis, etc.

    • For WhatsApp Messenger (Messaging App):
      The rows would be your contacts/friends’ number
      The columns would be information about the chat history with that person, such as the time of the first and last message, number of photos and videos sent, how many group chats in common, number of voice notes sent in the conversation, etc.

    • For Blackboard:
      The columns would be:
      -Prior Feedback
      The rows would be:
      -Course name
      -Professor name
      -Student Feedback and Ratings
      -Prior semester assignments

    • For Blackboard, each row data would correspond to the column heading. The column headings would be: Course ID, Course Name, Professor, Course Grade.

    • A data source I use often is ESPN for golf.
      The rows would be the rankings.
      The columns are their names, age, events played, rounds played, cuts made.

    • A data source I use often is ESPN for statistics on players. For baseball players the rows would be the players names and the columns would be their statistics such as batting average, singles, doubles, triples, home runs, strikeouts, etc.

    • For Youtube, the rows could be who you are subscribed to and the columns could be their video uploads, their number of subscribers, the amount of views they’ve had, and their specific playlists.

    • For Facebook:
      The rows would be the name of the users you are friends with, including their full name. While the columns would represent information about them such their posts, sex, date of birth, relationship status, their bio, family members and number of Facebook friends they have.

    • For your calendar
      The columns would be the numerical days
      The rows would be the days of the week

    • For Netflix

      The rows would be ratings (1-5)
      the columns would be all their movies on file and past movies and or tv shows they have removed

    • For
      The rows would be the particular items in stock.
      The columns would be item name, item ID, item cost, source location, shipping cost, item description

    • For Facebook, the columns can be what the user’s posts, how many things they share, how many posts they like and comment.
      The rows would be the user accounts.

    • For Draft Express (NBA Mock Draft Website)
      The rows would represent each draft pick
      The columns would represent the team, projected prospect, prospect physical attributes, and stats.

    • For NBA players’ statistics.
      The row would be players’ name.
      The colimns woud be PPG, RPG, APG, BPG, SPG, FGP, TPM, TPP and FPPG.

    • For Snapchat:

      Rows would be people that i snap chat or people thats on my contact list
      The columns would be the number of times i snap them in a week, month and year. Also some usfull information would be how long the average snap is to that specific person.

    • For Google Finance:

      Rows would be individual Companies
      Columns would be stock price, beta, P/E ratio, and other describing data and ratios that are given

    • For WeChat (similar to iMessage),
      The rows would be each person’s photo and name.
      The columns would be the text, emojis, links, photos or video you sent to each other.

    • For Instagram:
      Columns: Can be the number of posts, followers and the number of people a person follows.
      Rows: Can be the number of likes and comments on particular posts, DM’s (direct messages), and follow requests from individuals.

    • For Instagram,
      Columns: number of posts, number of followers, number of following
      Rows: Likes, comments; given and received, locations, tagged posts

    • For Gmail:
      Columns: Messages, time, attachments, word count
      Rows: Sender, receiver

    • For Facebook –

      Rows: name of the friend

      Columns: information related to the friend such as age, gender, date of birth, relationship status, number of friends, number of posts, number of photos/videos

    • For Blackboard,
      Columns: Courses, Grades, Calendar, etc.
      Row: Name of the course, specific grade A-F, due dates, etc.

    • Facebook
      Columns: Locations, Posts, Comments, Likes, Friends
      Rows: Name, age, address

    • Twitter
      Row: Name of account
      Column: Tweets, followers, who you follow

    • For Amazon
      Row: Customer who bought a product
      Columns: What product was bought, other products bought, how many products

      This data would help Amazon create recommended products for users and manage what products it needs.

    • A regular data driven software that I regularly use is Bloomberg.

      Some of the common column names that i would associate with the financial software are: Last Price, Price to Earnings Ratio, Enterprise Value, Debt to Equity Ratio, and Free Cash Flow.

      For the rows I would show the Date and its frequency, which would elaborate on the specific time period of the financial values.

    • For Facebook
      Row: User
      Columns: Age, Education, Job, Address, # of Friends.

    • For Instagram:
      Rows: username
      Columns: Amount of pictures posted, average likes on pictures, amount of followers, amount of people they are following.

    • For meetings that are available for me to attend my support group:

      Filter – Days of the week
      Row: meeting names
      Columns: time – location – type – open/closed

    • For Magic Cards:
      Rows: Individual Cards
      Columns: Mana cost, type, Rules text, artist

    • For Facebook:
      The rows would be friends names
      The columns would be information about them (such as birthdays), new posts (such as pictures or status), their friendship with you (past pictures and posts), and other info on Facebook.

  • Here is the exercise.

    And here is the spreadsheet you’ll need for the exercise [In-Class Exercise 12.2 – Sentiment Analysis Tools.xlsx].

  • Here is the exercise.

    And here is the spreadsheet you’ll need for the exercise [In-Class Exercise 12.2 – Sentiment Analysis Tools.xlsx].

  • Some quick instructions:

    You must complete the quiz by the start of class on April 18, 2017.
    When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to […]

  • Some quick instructions:

    You must complete the quiz by the start of class on April 18, 2017.
    When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to […]

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