Search Results for: Analytics

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.

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.

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

extra credit

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!

1. Goals: I had to write a report on a subject that connects with what I learned in MIS 2502 (i.e. big data, AI, cloud computing, etc.) I explained how cloud computing connects with the various topics we covered in MIS 2502.
2. Results: I delivered a ~3 paragraph high-level overview of what cloud computing is, where it will be, and how it connects to data analytics and everyday tasks we completed in MIS 2502.
3. What I Learned: I learned that cloud computing is the delivery of computing services with the purpose of offering more efficient innovation and processes, flexible resources, and economies of scale. Services within cloud computing include databases, networking, software, storage, servers, analytics, and intelligence. It will only continue to become more and more prevalent as society advances technologically.

This assignment was to pick a research topic within Data Analytics that was not covered in class during the semester. In this assignment, I had to research my topic which was Artificial Intelligence and then relate it to the coursework within Data Analytics. I found my topic to be extremely interesting because it is something that is continuing to evolve and thrive in today’s technology. While researching about AI, I learned that these programs and machines are built to think and act like humans but in a way that it is beneficial because the outcomes and predictions of data analysis are more credible and accurate. I related the topic of Artificial Intelligence to the coursework in Data Analytics because AI machines and programs can be used to analyze data, which something that we learned and practiced a lot using applications such as MongoDB and Rstudio. An example of Artificial Intelligence that is used with Data Analytics is the Google Analytics application which allows a user to track and monitor the amount of times people follow a link or click on their page. I found this assignment to be useful and beneficial because I got to learn about a new topic and research more about Data Analytics and how it is changing technology in today’s society.

Avi Desai

Professor Jung

MIS 2502

1 May 2021

 

Artificial intelligence has been a new and revolutionary technology to be utilized in many growing aspects of science, among other things. Artificial intelligence is the intelligence and emotions portrayed by human beings, but rather coming from the use of machines. Artificial intelligence allows tasks to be completed that require human intelligence, but with no human present. These human interactions that are altered portray human vision, speech, decision making, and language translation as well. This speeds up many processes, doing what a human can do but at a much faster efficiency rate. The essential purpose of artificial systems is to not only increase the speed of things being done, but also do it better than humans. Artificial intelligence also improves the precision of human tasks as this basically eliminates all human error.

Artificial intelligence is essential for helping companies with their data and analytics issues. CEO of SAS, Jim Goodnight, states “AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, as well as automate manually intense data management tasks.” For card companies for example, artificial intelligence can be used to monitor what a customer buys, or what people with different characteristics are likely to buy. Once this information is gathered and grouped together through the system, the company can then analyze it through data visualization and increase their companies profits and revenue. All of the databases that were searched through writing code in this class, would have been able to be completed through artificial intelligence. Not only would it be able to analyze quickly, but would also be able to look though many at once, no matter the size. 

One of the most common uses of artificial intelligence is Amazon’s use for it to display suggested products that people are likely to buy. Artificial intelligence creates an algorithm to decide what you may be interested in based on your past purchases, further trying to increase profit. 

 

The purpose of this project was to learn about a topic on Data Analytics that was not taught during our 2502 course. We were then asked to research a topic that fell under this category, and I chose to research Social network analysis. After concluding my research, I learned that Social network analysis focuses on network behavior to understand a group’s strengths, weaknesses, and relationships. It can be applied in team-building activities to get a closer look at relationships between groups of people that were hidden before. At first, I thought this was a brand new topic for me, but I quickly learned that a lot of the mapping used in SNA is similar to Cluster Analysis that we have learned this semester. Overall, it was interesting to see a broad topic like Clustering build into something like Social network analysis.

https://docs.google.com/document/d/1HT101jxhUMvOOzV2Gg1u3B2MVKoJm-R3pTit5dexa9Y/edit?usp=sharing

propointproject.dmello.aaron

This project was for students to learn about a topic related to MIS that we did not have the opportunity to learn in class. I wrote about the topic of artificial intelligence and how that relates to data analytics.