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Data & Analytics Short Paper

This short paper made me further research a certain topic we covered in MIS2502 that did not spark my interest initially. After learning more extensive information outside of the classroom, I got a better understanding of how NoSQL fits into this course and how beneficial it was to be able to get a hands-on approach to extracting data. This project helped me narrow my focus on just one concept that led me to better piece together the information architecture of an organization.

Brandon Nelson Social Network Analytics Write Up

This assignment was a brief write up assignment for MIS 2502. The task was to write about a subject we didnt cover in class, and relate it to a topic we did learn.

DeSandre Sentiment Analysis Extra Credit

 

This is an Extra Credit Research Assignment for my MIS 2502 class with Hyeonsik Shin. In this project, I researched Sentiment Analysis technology and how it is important to Data Analytics and in particular, Advanced Analytics. The goal of this project was to provide a comprehensive description of the technology as well as demonstrate how it works in practice through research. This project was helped me learn about how and why Sentiment Analysis is used in Data Analytics. This learning has increased my breadth of knowledge as both an MIS student and an MIS professional.

1. The purpose of this assignment was to give an outlet to display my ability to understand and describe an aspect of data analytics to my current and future employers. I briefly described what Artificial Intelligence is and how it relates to what I have learned in MIS2502.

The Role of Data and Analytics in Leveraging Artificial Intelligence is the essay written by me, Angelica Pinon, for extra credit in MIS2502, discussing the importance of data and analytics in the development and advancement of Artificial Intelligence (AI). My goal while writing this essay was to emphasize the complexity and sub-fields of Artificial Intelligence. AI is most often misunderstood and misinterpreted as just \’sentient\’ technology, such as robots, that are able to accomplish human-like tasks independently. However, it requires a deeper understanding of computer science, statistics, data modeling, etc. – all of which we\’ve delved into moderately.

_Extra Credit -Artificial Intelligence – Angelica R. Pinon

 

 

 

 

 

 

1. Introducing big data analytics and how does it help with organizations in making decisions

extra credit

MIS2502ExtraCreditAssignment (1)

Description:

Through this class project, I aimed to explore an aspect of Management Information Systems/Data Analysis that resonated with my interests and career goals. As a Marketing/MIS double major, I expressed interest in Sentiment Analysis, a process used to analyze textual data such as customer reviews and employee feedback forms, and its other business applications. The practical example of Nike’s brand monitoring following the Colin Kaepernick controversy contributed to my understanding of how sentiment analysis could be used to benefit even the most triumphant companies. The results of the data provided by Nike suggested that analyzing a dataset (in this case, customer sentiments on social media sites like Twitter) holistically proves to be more beneficial than focusing on the extremes of the data. In relation to the content covered in MIS 2502, Sentiment Analysis serves as an example of text-based analysis/text-mining, which is important considering the fact that much of the data found on the internet/social media is unstructured and numerous. In the end, the project helped me develop a more extensive understanding of Sentiment Analysis and its importance in relevant fields.

 

The goal of this project was to discover a new topic that was related to my major. As a result, I learned a lot of new and relevant information pertaining to Artificial Intelligence. I discovered all of the many ways that Artificial Intelligence is incorporated in the world around me. Click here to view my project.

Cloud-Based Analytics (Extra Credit)

Researching cloud computing has allowed me to familiarize myself with how cloud-based analytics work but also how they connect to the SQL databases we have been using in class. I was able to gain insight into the functionality of they are utilized in a business setting. I was able to connect the information learned to a future class next semester of cloud architecture. I discuss the importance of cloud computing in terms of stability, flexibility, types of cloud computing, and how it is cost-effective. Lastly, I was able to connect the following information to Amazon Web Services (AWS) and learn the practicality of cloud-based analytics.

The goal of this assignment was to conduct independent research on a topic related to the Data Analytics class. The class topic I chose for the extra credit assignment was Big Data. As a result, I wrote a one-page research page on Big Data. I was able to analyze the role of Big Data in Data Analytics and MIS. Click here to access the document!