The goal of this project was to give me an understanding of some applications of data analytics that are related to what we have covered in class but were not specifically covered. The results of my project are available on the community website at http://community.mis.temple.edu/jkerrigan/projects. I have learned about the basics of text mining and sentiment analysis and specifically how both of those subjects directly relate to our MIS 2502 class.
Search Results for: Analytics
Research: Recommender Systems & Predictive Analysis
Recommender Systems; Predictive Data Analysis
“Recommender” or “Recommendation” systems refers to a type of information filtering that aims at predicting a users choice or outcome in a decision. These systems use various classification algorithms and techniques; such as decision trees for precise item choices or clustering for similarities it items to be chosen (which will be discussed shortly). Recommender systems are typically split into content-based or collaborative filtering systems:
- Content based focuses upon “properties of the items recommended”[1]. An example being ‘recommending’ content to users such as Netflix surfing or Amazon.com shopping.
- Collaborative filtering “recommend[s] items based on similarity measures between users and/or items”[1]. This type of recommender system is closely related to clustering.
Predictive Analytics stems from recommender systems which is “used to make predictions about unknown future events”[2]. This type of data analytics is anticipatory; relying on data mining and statistical techniques in order to develop these underlying insights. Predictive analytics allows for organizations to be much more forward-thinking and proactive in their business decision-making.
Recommendation system models relate closely to the topics of Decision Trees, Clustering, and Association Rule Mining that we have learned in Data Analytics (MIS2502). Multi-tiered decision tree analysis is used when recommending the best choice for an end user. Clustering is used in collaborative filtering methods in order to best group similar items with end users. Finally, association rule mining–as well as data mining in general–is used to best predict an end users ultimate choice.
As part of my job as a prospect research analyst, it is my job to determine who are the best candidates for outreach to support the school of medicine. If a recommender system algorithm were implemented, I would be able to more accurately determine which patients and doctors are more willing to contribute than others through logical decision-making analytics.
References
[1]Recommendation Systems, Chapter 9 – Stanford InfoLab n.d.. April 28 2018 http://infolab.stanford.edu/~ullman/mmds/ch9.pdf
[2]Imanuel. “What Is Predictive Analytics ?” Predictive Analytics Today, Bigtexts.com, 12 Apr. 2018, www.predictiveanalyticstoday.com/what-is-predictive-analytics/
MIS2502 Bonus Assignment
MIS2502-Extra-Credit-and-PRO-Assignment
The assignment was to research a topic within Data Analytics and connect it to the concepts we learned this semester. Below is the link to my e-portfolio to the project embedded in HTML to my profile.
Project Link: https://community.mis.temple.edu/nmarino/class-projects/
E-porfolio link: https://community.mis.temple.edu/nmarino/
Bonus Assignment Write Up
This assignment was a research essay on a current relevant topic on data analytics. I chose to write about cloud computing and how it is used for data management within organizations
Bonus Assignment Write Up
This assignment was a research essay on a current relevant topic on data analytics. I chose to write about cloud computing and how it is used for data management within organizations
Chair’s Message – March 2018
Our MIS students learn from world-class faculty who are leaders in research and exploring cutting-edge topics. Learn how Konstantin Bauman uses artificial intelligence to create software to help students find their weaknesses to recommend what to study.
Catch up with alumni Ying Liang-Chai (BBA 2002) and Sameer Anand (BBA 2012), who are applying what they learned in the MIS program in their careers. Also learn more about Gord Burch (Ph.D. 2013), who recently won two international early career awards for his research.
We are also preparing the next generation of MIS students for success through the recently updated Professional Achievement Program (PRO), breaking new ground in motivating personal branding and professional development. Read about the accomplishments of our current and graduating students, including the all-MIS student team that won the analytics track of the Fifth Annual Temple Analytics Challenge and the winning team of the Fall Capstone Project Showcase that used cloud-based technology to streamline the lab equipment procurement process.
PRO accelerates student professional development
MIS announces the successful rollout of version 4 of the Community platform professional achievement program. Since 2008, the program continues to break new ground in creating a structured measurable process for student professional development that provides recognition, external and internal branding, and opportunities for high achievers. The program pioneered at Fox MIS has been licensed at other universities, while portions have been copied by others.
Changes in version 4 include:
- New e-portfolio design with interactive customizable widgets that highlight professional achievement and a verified badge
- New Dashboard analytics to manage graduation requirements and comparison with peers
- New much simpler PRO point submission, review, and management process
- More PRO point earning opportunities (e.g., study abroad)
- New calendar to locate PRO point earning opportunities
- More curriculum checkpoints for on-time graduation
- New PRO site that integrates all the information related to the program
- Much better swag
- New name – PRO!
According to Dr. Munir Mandviwalla who is working on the project with Assistant Director Manoj Chacko and Assistant Professor Laurel Miller:
PRO provides the structure for professional development. The goal is for students to get good jobs; so the e-portfolio badge summarizes professional achievement, the points widget lists the activities, while the posts show how each activity influences professional development. Finally, PRO points measure activities so that students can get started early and stay on track using analytics available on an integrative Dashboard.
As part of the above roll out, the overall MIS Community site was updated with new content, a new mobile responsive look and feel, including the new Community activity widget. The e-portfolios of faculty, staff, and Master’s students also have a new mobile responsive look and feel with capabilities that integrate with the main site (e.g., research news).
Dr. David Schuff is the new MIS Department Chair
The Fox School of Business is excited to welcome Dr. David Schuff as the new chair of the Department of Management Information Systems (MIS). Since joining the faculty in 2000, Schuff has played a major role in elevating the reputation of the department through his exceptional teaching, research, and leadership.
David’s service to Fox and the MIS department has been invaluable since his arrival nearly two decades ago, said Dr. M. Moshe Porat, Dean of the Fox School. His creation of the Temple Analytics Challenge, for example, demonstrates the value he places on interdisciplinary research and experiential learning activities. I am confident the department will continue flourishing under David’s leadership.
Schuff’s research interests include the application of information visualization to decision support systems, tools for self-service business intelligence, and the impact of user generated content on organizations and society. He has published over 40 journal articles, many in top research publications, such as Management Information Systems Quarterly, Decision Sciences, Decision Support Systems, and Information & Management.
In addition to teaching in the MIS department, Schuff has taught in the BBA, MBA, and Executive MBA programs at the Fox School’s campuses in Colombia and Japan; and he was the founding academic director of the Executive Doctorate of Business Administration program. His course topics include data analytics and information systems strategy, and he has won numerous awards, including the Musser Award for Excellence in Teaching, the Lindback Award for Distinguished Teaching, and the MIS department’s teaching award. (He won the latter 13 times—more times than any other faculty member.)
Dr. Schuff’s accomplishments as a founding faculty member—and especially his commitment to teaching excellence—make him extremely well qualified to take on this role, said Dr. Munir Mandviwalla, who preceded Schuff as MIS department chair. I am confident he will take the department to even higher levels. It has been a privilege serving the department since its founding in 2000. I look forward to concentrating on leading the Institute for Business and Information Technology (IBIT) to further enhance industry engagement.
Schuff’s impressive history with the Fox School gives him a unique ability to lead the MIS department into the future.
I am proud to serve as chair of the MIS department, said Schuff. Together we’ve built an amazing foundation of highly ranked undergraduate and graduate programs with a vibrant faculty of excellent teachers and top-tier researchers. It will be exciting to see where the future takes us as we create new academic programs, explore new areas of boundary-spanning research, and continue to grow as a leading department.
From Bridge Repair to Elderly Patient Care, MIS seniors debut innovative solutions in capstone projects
After years of hard work and study, MIS seniors always have a lot to show off at the Fox School of Business Management Information Systems Capstone Project Showcase. The most recent Showcase, held at the end of April, was no exception: The 17 teams of seniors that gathered to present their final projects unveiled everything from a medical app designed to help doctors track elderly patients’ health regimens to a personalized news aggregation service to an improved search function on Temple’s course database.
The MIS Showcase is a unique opportunity for students to combine all of what they have learned in class with their own entrepreneurial skills, says Fox IT Advisory Board Chairman Bruce Fadem, who oversees the Mentoring program for IBIT. “This year’s teams showcased a wide range of exciting ideas and demonstrated the value of their education with professional business plans and excellent presentations.”
The winning team, selected by a panel of judges, designed an app that tackles the problem of evaluating the maintenance needs of bridges. “On average,” the team notes, “it takes an expert three to six weeks to properly assess a bridge’s structural needs and report these findings to the local government.” Their solution, the app they call Floating Bridges, combines 3D mapping drones, bridge-assessment algorithms and augmented reality to provide local governments with a more efficient, less expensive way to survey and prioritize problem bridges “on a yearly or even monthly basis.”
The team, which included Alexandra Iacovetti, Nicholas Rivera, Bridget Silk and Benjamin Sulaiman, won $500 for coming in first place — though the entire Capstone process has been rewarding in itself, Silk says. “We really benefited from bouncing ideas off each other,” she adds. “It was an awesome experience to end the year with.”
The Capstone projects are often cited by students as one of the highlights of the MIS experience. The opportunity to put so many skills and practices to the test (not to mention the chance to flex their creative muscles) in a competitive setting is both fun and helpful in terms of prepping for life outside of the Fox School.
“The project created an opportunity to fully develop and pitch a real, live platform that addresses a problem,” says Kate Morrison, whose team, District One Sports, created a one-stop digital resource for high school sports stats. “Going through this process end to end created more passion, teamwork and ownership than any other group project I’ve worked on, and it was a beneficial transition from the teaching/learning environment into the professional workplace.”
The full roster of projects presented at the April event included:
Solutions to Medical Non-Adherence
A digital solution for health-care providers, pharmacies and patients to insure that patients are taking their medication consistently and following correct procedures after leaving the hospital.
Team: Michael Ingram, Heather Makwinski, Joshua Michalik, Samantha Talarico
Mentor: Dale Danilewitz
Documed: Improving Patient Engagement
Real-time access for doctors to patients’ medical records to help improve diagnosis and treatment.
Team: Johnathan Holland, Jeremy A. John, Alan Kim, George Raymond
Mentor: Matt Winter
WorkFit
An application designed to motivate people to make exercise a priority, using social tools, games, geolocation and goal suggestions.
Team: John Kerin, Matthew Leaver, Sara Monahan, Thompson Nguyen
Mentor: Ben Hasan
CaParkLee
An application that measures the core body temperatures and heart rates of elderly patients, aiming to help doctors track their patients’ regimens.
Team: Leor Capunitan, Thomas Lee, Chris Park
Mentor: Jeff Hamilton
Social Academic Studying Solution
A web-based solution for connecting students who have similar courses and curriculums, aimed at enabling collaborative studying, as well as helping students manage deadlines and study hours.
Team: Evan Chiao, Kin Lee, Connor Gawlik, Mike Dennis
Mentor: Satbir Bedi
District One Sports: Simplifying High School Sports Statistics
A one-stop digital resource for reporting and viewing high school sports scores and statistics.
Team: Rob Higgins, Kate Morrison, Rhea Prabhu, Ben Shaffer
Mentor: Sondra Barbour
Airline Entertainment
A digital platform providing airline passengers with in-air and terminal entertainment and gaming options.
Team: Stephanie Cheng, Tyler Gaber, Kevin Santoni, Dario Trabucco
Mentor: Sunil Misra
Vulpine Analytics
An analytics tool to help provide employees with information and insights about the connection between their wellness and their productivity, helping them balance health habits with performance at work.
Team: Derek Gibbs, Eric Koeck, Erika Nixon, David Yastremsky
Mentor: Paul Amorello
VisRecs
A visual-recognition application that harnesses unstructured data hidden within images, videos. and gifs uploaded onto social media and/or the Internet, and helps structure it into meaningful ideas.
Team: Dominick Falco, Alex Korjeski, Alex Meyer, Louisa Carleton
Mentor: Niraj Patel
SpotaGuide
A platform that connects travelers with personalized, low-cost tour itineraries.
Team: Phil Tocci, Kevin Vong, Anthony Vu, Brian Wallace
Mentor: Bruce Fadem
Floating Bridges
An application that combines 3D mapping drones, bridge-assessment algorithms and augmented reality to give experts a cost-effective way to assess a bridge’s structural needs.
Team: Alexandra Iacovetti, Nicholas Rivera, Bridget Silk, Benjamin Sulaiman
Mentor: Joe Spagnoletti
Newsence
A system for aggregating multiple news sources and customizing them in a fashion that fits into each user’s lifestyle and preferences.
Team: William Agentowicz, Brandan Mackowsky, Eugene Tartaglione, Adama Traore
Mentor: Sukumar Narayanan
Gamer Connect
An application that allows gamers across all platforms (Xbox, Playstation and PC) to find one another and form teams based upon their respective skill levels.
Team: Andrew Fiss, Tyler Urquhart, Elijah Jamison, Kyle Domsohn
Mentor: Shariq Khan
DDesignate
A ride-sharing application in the vein of Uber/Lyft that helps users avoid driving while intoxicated, while providing a way for the user to get his or her car home safely.
Team: Rob Lesnik, Kyle Matusik, Jonathan Plugaru, Casid Sohou
Mentor: Andrew Porter
Esperanza Database Consolidation
A database-consolidation tool for merging and centralizing data from the non-profit Esperanza to allow for better and more streamlined marketing and communication efforts.
Team: Danielle Buerger, Kevin Hamilton, Leeya Ressom
Mentor: Jon Scott
BookLit
An application aimed at third-grade students within the School District of Philadelphia, focused on improving reading skills via online competition, incentives and reading comprehension quizzes. Teachers are able to track students’ improvements.
Team: Andi Agolli, Jeffrey Craskey, Mohit Patel, Urvesh Patel
Mentor: Andrea Anania
Course Search
A search function that allows Temple students to look for any class in the Temple database based on keywords/categories that pertain to class topics or subtopics.
Team: Quy Le, Kevin Diem, Darpan Patel, Michael Black
Mentor: Chris Cera
MIS students win big at the National AIS Student Leadership Conference and Competition
Two MIS student teams won big at the Eighth Annual Association for Information Systems (AIS), Student Chapter Leadership Conference and Competition, Brigham Young University, Provo, UT, April 13-15, 2017.
1st Place – AmerisourceBergen Analytics Challenge (Analysis Track)
2nd Place – Security Case Study
The above two competitions included two phases. In the first phase, student teams submitted entries virtually. The finalists were chosen from the virtual entries and invited to present their work for another round of judging at the above conference. Other finalists included University of Georgia, Roger Williams University, University of Cincinnati, University of Michigan, Florida International University, Brigham Young University, and others.
