This project involved analyzing a loan approval dataset using a decision tree algorithm to predict the approval status of loan applicants based on their financial features such as income, credit score, and loan amount. This project was part of my MIS2502 coursework. My role was to clean and analyze data, build a decision tree model, and interpret the results to gain insights into the approval process. Through this project, I identified the optimal minimum split for the decision tree, achieving high training and validation accuracy rates. I also explored nodes with extreme probabilities to uncover patterns in approved and rejected applicants. Additionally, I applied the model to real-world scenarios by predicting outcomes for individual applicants. This experience enhanced my understanding of decision tree algorithms, feature importance, and the role of predictive analytics in financial decision-making. It also improved my technical skills in data processing and model evaluation, as well as my ability to communicate complex findings clearly and effectively. Overall, this project demonstrated my ability to apply analytical tools to solve real-world scenarios.
Search Results for: Analytics
MIS alums specialize in cybersecurity and data at EY, Disney
During her career, Rhea Prabhu (BBA ‘17) has served as a trusted advisor to clients across several different industries, including financial services and life sciences. The throughline in her work is helping organizations leverage innovative and emerging technologies while prioritizing cybersecurity and managing risk.
Depending on the client, that might look like developing a vulnerability management program, or creating executive dashboards to show security risk posture across an enterprise.
Prabhu’s resume includes stints at Grant Thorton and Deloitte. She currently serves as a Cyber Security Senior Associate at Ernst & Young.
At EY, Prabhu creates custom security solutions for her clients’ unique operating environments. And she continues to draw upon the skills she honed and networks she grew during her time at Temple.
“What stuck out to me about many of my classes at Temple was their emphasis on creating solutions to real problems—not just theoretical scenarios,” says Prabhu. They helped me to stretch my creative and technical skills and learn how to interact with clients.”
Prabhu also credits being a part of Temple AIS as a member and officer with helping her develop a community of peers and smoothly transition into the workforce. “The IT fairs, awards, socials, and competitions impressed on me the importance of developing a network in addition to applying myself in class. Many of the connections I made there are cherished relationships to this day,” she says.
How do entertainment executives decide what content to produce? As a Technical Program Manager at the Santa Monica offices of Disney Streaming, 2023 Temple “30 under 30” recipient Ciara Murphy (BBA ‘16) leads the Data Solutions teams to help figure it out. They help determine what you watch on some of your favorite streaming (Disney Plus, Hulu) and linear (ABC, FX) channels.
Murphy’s teams collect data as it relates to content, like Disney Channel shows and The Handmaid’s Tale on Hulu. “Then we transform the data to make it easy for analysts and business folks to create insight from it,” says Murphy.
After spending a few years at Cigna, Murphy found a great culture fit at Disney with a fun team who challenges and pushes each other—reminiscent of her experience at Temple.
“Working on group projects at Temple was similar to my career experience so far in the way that you have this big idea, then you break it up into more achievable milestones,” says Murphy.
“The curriculum overall really challenged my way of thinking and taught me how to approach problems in different ways,” she says.
Murphy encourages undergrads to get a solid foundation in data and analytics. “Especially in this economy, decisions are very data driven. And having accurate data on customers is super important to operate your day-to-day business,” she says.
NoSQL Databases
An individual may wonder what exactly NoSQL databases are, along with the relevance they have in day-to-day life. NoSQL (“not only SQL”) databases are non-relational data storage systems, which store information uniquely when compared to relational databases. Specifically, NoSQL databases support semi-structured (unstructured) data and can handle “Big” data with greater performance. “Not only SQL” databases have the capability of processing structured and unstructured data, easing the usefulness for users. Increased functionality, capacity, and fault tolerance are just a few reasons why a company may choose to incorporate these databases.
In Data Analytics (MIS 2502), we used a NoSQL database called MongoDB, created by 10gen. MongoDB is an open-source, document-oriented database design. Within the database, individuals can store BSON documents in a schema-less structure. Before covering the material on MongoDB, we covered concepts related to relational databases, along with the utilization they provide. After performing numerous queries, I was able to have a clear understanding of the reasoning behind utilizing NoSQL databases, rather than SQL databases. We learned how to combine sources of data using methods of aggregation. The Data Analytics course taught us that the architecture behind MongoDB and other NoSQL databases allows for the handling of “big data”. When companies need to implement large data volume, NoSQL eases the functionality, improving overall performance.
A NoSQL database enables enhanced results for many companies and practices throughout the world. An example of a NoSQL database being applied in practice would be PayPal. A worldwide leader in online payment solutions, PayPal began to integrate Couchbase in 2013 for several reasons. The NoSQL database allowed the company to collect data and analytics in profiling, segmentation, and identification mapping. Within just one year, PayPal was able to manage over one billion documents and ten terabytes of data using the database. After seeing astonishing success in a short period, the electronic commerce company began to extend its usage of Couchbase. PayPal managed analytics of user information by incorporating Kafka, Hadoop, and Couchbase. The programs permitted the company to process millions of updates within minutes. NoSQL databases are widely used throughout different companies to process and store data.
Works Cited:
“PayPal.” Couchbase, https://www.couchbase.com/customers/paypal.
“What Is Nosql? NoSQL Databases Explained.” MongoDB, https://www.mongodb.com/nosql-explained.
Optional Assignment – Short Essay
The main goal of this assignment was to conduct research and write a research paper on a topic relating to the course Data Analytics. Throughout the course, we have covered NoSQL and MongoDB. Within the research paper, we had to provide a background of our topic and explain its importance and relations to the material we learned throughout the course. Lastly, we had to give examples of our topic being put into practice within real-world applications and explain its significance.
For my research paper, I researched artificial intelligence. I was able to develop a great understanding of artificial intelligence. In addition, I was able to understand the value of artificial intelligence and its importance in many businesses.
Xue Zhan Huang MIS 2502- Data Analytics Optional Extra Credit Assignment 3-30-2022
Overall, this assignment allowed me to learn the three types of artificial intelligence. It helped develop a clear understanding of these three types of artificial intelligence and identify examples of them being applied. I was able to learn its connection to data analytics. In addition, it gave me an understanding that Data Analytics and artificial intelligence deeply rely on each other as it helps create the services and technology that people use daily. More importantly, it ease the work of employees within their work field and provides them with tools that allow them to solve problems.
Short Essay
The goal of this project was to write a short essay about a topic that has not been discussed in class in order to expand our understanding of data analytics. I chose to write about Social Network Analysis (SNA), which is when the social relationships between individuals/groups are plotted in a massive network diagram. Here’s an example of what an SNA diagram might look like:
In my essay, I wrote about how this can relate to what has been taught in class because data can be extracted from this diagram and be processed in SQL, or data that’s designed in SQL can be used to create an SNA diagram, and then I wrote about an example of how researchers were using SNA and SQL to predict criminal behaviors in societies. I learned about how the SQL knowledge I learned in class can be applied for processing massive amounts of data in the real world, and a practical way of diagramming Big Data involving people and relationships between people.
Deep Learning
- Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
Deep Learning is an innovative and revolutionary type of machine-learning, that a machine can become more intellectual through the process of self-learning.
All the AI systems require the raw data that we have collected, and AI finds a better or the best solution based on the data that is historically accumulated.
Especially, data and analytics are essential part of machine-learning system.MIS-2502-Data-Analysis-Optional-Extra-Credit-Hojoon-Jacob-Lee
The Relevance of AI in Data Analysis
Description:
In MIS 2502: Data and Analytics, we have learned a variety of topics relevant to the discovery, research, tools of communication, and systems of interpretation regarding data. In this course, there are a few specific topics that are touched on but not dug into deep enough compared to the focal material of the course. One of these is the topic and relevance of Artificial Intelligence in the world of data. Artificial Intelligence, also well known as AI, is the developed intelligence composed of variations within computer science demonstrated by machines that are designed to perform tasks that are typically done by a human being. AI is relevant to analytical science and data through its assistance in conducting a more in-depth analysis of data in specialized areas of study that is not naked to the human eye.
Generally speaking, AI allows organizations to have a more advanced and effective base when making important decisions, developing core business strategies, and increasing the agility of computational operations for these organizations at lower costs. An example of how artificial intelligence aids data-related situations is with big data, data that is too large or complex and needs to be condensed in some form (Surya). Usually in these cases, since such data can grow exponentially over time, traditional data-processing application software is unable to minimize the data due to its high levels of complexity, thus, AI resolves the issue. Some analytical operations AI runs include identifying connections through different databases, locating errors and coding malfunctions, and recognizing advanced computational knowledge to further assist data systems in executing their sensitive information properly (Dixon). As AI is designed to replicate an advanced version of the human mind, it has the ability to work faster and for longer compared to humans, demonstrating the effectiveness of its existence in the world of analytical data.
Without the presence of Artificial intelligence when creating and using data analysis systems, it would be far more difficult to develop accurate databases at the speed it currently takes utilizing AI. With the inclusion of such advanced intelligence, organizations are set to succeed and are less likely to generate faulty systems and interpretational tools. In the future, it would perhaps be beneficial for students to understand the purpose and importance of the relationship between AI and the processes within data analysis by further expanding on the concept in the course.
Big Data
The goal of this project was to research a current topic in Data Analytics that we haven’t covered in class and learn about it, write a brief overview of the topic and connect it to 2502. my topic was Big Data.
Student-led consulting group lends expertise to local non-profits
Most nonprofits don’t have the budget to hire in-house technology specialists, or the budget to hire pricey consultants. A group of Temple MIS students is stepping up to fill this need—streamlining processes for local organizations while gaining invaluable real-world experience.
Founded in fall 2019, Optimize Consulting Group (OCG) is under the umbrella of Temple Association for Information Systems (AIS). Run by Connor McShane, Ariella Izbinsky, and Brianna Anderson, the team kicked off with its first pro bono client in spring 2020. Since then, it’s helped several Philadelphia area nonprofits in areas like UX redesign, Google Analytics integration, and data analysis.
Most OCG projects have a multifaceted approach, intended to make each nonprofit run better as a whole to meet its goals. OCG’s mission prioritizes client relationships and finding custom solutions to the most pressing problems.
Students typically partner with clients in teams, on a 5-month semester timeline. “This semester, we happen to have two UX redesign projects,” says McShane, OCG’s principal. “It’s been a wonderful opportunity for our two student teams to collaborate and assist each other.”
Like many MIS professionals across industries, the students have found scope creep to be a challenge. “More than anything, we want to help our clients with whatever they desire, but in order to stay on track we have to stay within the scope of the project,” says McShane.
Having the privilege to help clients make a bigger impact is incredibly rewarding for the team. “Being a part of a group that helps amazing causes in our community is the best part,” says McShane. For example, the OCG website redesign for The Monkey & The Elephant, an organization that supports young adults transitioning out of foster care in Philadelphia, focused on increasing revenue. The new design highlighted catering services and garden space rental, and streamlined access to the group’s online store.
OCG clients appreciate the students’ hard work. Amy Cohen partnered with OCG in 2020 to revamp the donor management system for Friends of Sueños, her Wynnewood-based nonprofit, “I have already recommended OCG to a nonprofit whose board I recently joined,” says Cohen. “The knowledge, professionalism, and enthusiasm of the OCG team was truly impressive.”
OCG’s goals include extending its reach so that all area nonprofits are aware of its services. “The future of OCG is extremely bright,” says McShane. “Not only are we continually developing our processes to best serve the client, but we are shaping students’ professional development. I feel confident that our team could solve any problem that a nonprofit organization might bring to us.”
Cloud Paper
- The goals of the MIS 2502 extra credit assignment was to research a piece of technology we were interested in. I chose Cloud because I wanted to learn how this modern piece of tech works, especially because I use it in my everyday life through iCloud, the Canvas website, and so on. I visited many sources to learn more, including Amazon\’s Web Service (AWS) page. MIS 3406 covers using cloud, which only motivated me to continue diving in. From my research, I learned that cloud encompasses a variety of fields, such as cloud-based analytics and cloud computing. I want to dive in technology consulting and I know I will have to utilize analytics to help business\’ track growth and cloud computing when it comes to implementation
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