For this project, we had to create a website for the client and provide the dashboard with a place for customers to put in their information and look up other renters and landlords. The website my team created is located here: http://misdemo.temple.edu/spring109/RentZen/.
Search Results for: --------
Bonus Assignment: Social network analysis/analytics
Social media/network analytics is the technique of collecting data from social media websites and blogs, using the analysis to make business decisions. This process is more thorough than “the usual monitoring or a basic analysis of retweets or ‘likes’” ( “What Are…”), as it turns the data into useful information to “develop an in-depth idea of the social consumer” (“What Are…”). Before starting the process, it is important to “determine which business goals, [such as getting product and services feedback or improving public opinion] the data that is gathered and analyzed will benefit.” (Rouse). Then, key performance indicators (KPIs) need to be identified in order to objectively evaluate the analysis.
Doing social network analytics allows businesses to see who their follower presence really is, what their feelings about the company are, and even if consumers will like an upcoming product or service. It can even involve sentiment analytics, which uses “sophisticated natural-language-processing machine learning algorithms parsing the text in a person’s social media post about a company to understand the meaning behind that person’s statement” (Rouse) and even provide a score with the analysis. Social media analytics is increasingly more important for companies to do because there is tons of information to be found in social media data. It also can help save money in the long run. Rouse comments in her article that “In decades past, enterprises paid market research companies to poll consumers and conduct focus groups to get the kind of information that consumers now willingly post to public social media platforms”.
In MIS 2502, we learn about unstructured data being that initial, raw data before it is transformed into knowledge. This unstructured data is what is gathered by the analytics tool; it is the data found in blog posts, Facebook posts, tweets, etc.. We also learned how to use the open source platform, R, and this platform can actually serve as one of many social media analytics tools (Rouse). Additionally, when learning about relational data modeling, we learned about the cardinalities one-to-one and one-to-many, which define the rules of association between entities. One advantage for companies to do social media analytics, according to Techopedia’s article, is that it enables them to “execute focused engagements like one-to-one and one-to-many”. With all the information learned in MIS 2502, students are equipped with enough understanding in the various topics to give a successful try at social media analytics.
Sources:
Rouse, Margaret, and Ed Burns. “What Is Social Media Analytics? – Definition from WhatIs.com.” SearchBusinessAnalytics, June 2017,
searchbusinessanalytics.techtarget.com/definition/social-media-analytics.
“What Are Social Media Analytics (SMA)? – Definition from Techopedia.” Techopedia.com, www.techopedia.com/definition/13853/social-media-analytics-sma.
site link: http://community.mis.temple.edu/amandachavis/mis-projects/
Portfolio Points Project MIS3501 Sonny Shines
The project was to use the programming languages php, sql, and pdo to form a website for a client. It provided a way for customers to get quotes and an option to accept the offer. Employees had the ability to login and view a report and update status of orders.
RentZen
Course Name: Integrated Application Development (MIS 3502)
Section: 1
RentZen URL: http://misdemo.temple.edu/spring103/
Sonny Shines
This project is being offered to MIS3501 students who are looking to earn additional MIS professional achievement points. This project is not extra credit. Participation in the project will not improve or reduce your grade in MIS3501. This project is optional. You don’t need to do this project if you don’t want to. The incentive for doing this project is MIS professional achievement points, and the joy of learning/applying a new skill: programming.
MIS 3502 Project
https://misdemo.temple.edu/spring303/
MIS 3502 Section 3
Request for 50 points
3502 project rentzen
misdemo.temple.edu/spring103
Chair’s Message – May 2018
As the academic year draws to a close, we have much to celebrate. I am proud of our excellent students and their big win at this year’s AIS Student Chapter Leadership Conference. A record five teams won for their entries in analytics, blockchain, and artificial intelligence. Also, congratulations to Professor Jeremy Shafer, who won AIS Chapter Adviser of the Year.
Our signature event with the Institute for Business and Information Technology (IBIT), the Eighteenth Annual Fox IT Awards, was a great success. The honorees were technology innovators and leaders John Turner of 3M, James Rhee of Ashley Stewart, and Dave Kotch of FMC Corporation.
IBIT also hosted the third annual National Cyber Analyst Challenge, with 10 teams competing for $25,000 in prizes.
I am also proud of our graduates. Read about recent grads Emily Schucker and Frank Tkachenko, who are using what they’ve learned while in the MIS program to start their careers. We also catch up with two experienced alumni – Michael Luckenbill and Joshua Sandoe – as they find themselves well prepared to take on new career challenges.
With regard to research, read about the launch of our MIS Visiting Scholars Series, which brings leading academics to Temple for a week-long residency. Also learn how Professor Jing Gong studies the impact of information technology on consumer behavior and finds the unexpected.
Temple AIS students win big in national competition
Five Temple University undergraduate teams were winners in contests judged during the Association for Information System’s Student Chapter Leadership Conference in Dallas in April.
The contests pitted Temple against schools in the U.S. and abroad, including the universities of Alabama, Georgia, Michigan and Colorado; Saudi Arabia’s Prince Sultan University and the University of Gdansk in Poland. Temple is hosting the 2019 conference.
Faculty advisor Jeremy Shafer said he knew the students were “world class” but he was overwhelmed by their performances, “We ended up sending the six teams that made it through first round to the finals, a big achievement.”
Shafer won, too, recognized with the AIS Advisor of the year award, a new honor.
“I was really stunned, humbled,” Shafer said.
Find details about the winning projects below.
The Computational Society Case Study Challenge
First Place — Cara Evans, Rebecca Jackson, Zoe Weiner
Evans ’19, Jackson ’19 and Weiner ’18 explored how new technologies — specifically smart phones, radio-frequency identification (RFID) and “smart mirrors” – can help physical stores out sell Internet options. They found many retailers invested in one technology at a time but concluded offering multiple technologies simultaneously would be better.
“To survive, the physical stores have to offer something online can’t,” Jackson said. “Together (these technologies) create great customer experiences.”
Third Place — Andrea Behler, Erin Ebling, Michelle Pangestu
Behler ’19, Ebling ’20 and Pangestu ’20 explored how technology could affect well-being.
The team concluded that new programs using virtual reality and artificial intelligence could allow athletes to train without fear of injuries and could monitor vital signs to construct tailor-made work-outs. They found that video games like Pokemon Go! encouraged people to be more active.
“You have gamers who become more athletic and athletes who turn into gamers,” Behler said. “Each are realizing true health benefits.”
NBCUniversal Analytics Challenge
First Place — Chi Pham, Ngoc (Nathan) Pham, Run Zhu
Chi Pham ’19, Ngoc Pham ’19 and Zhu ’18 focused on QVC’s existing warehouses to determine why customers complained about deliveries. Data showed that a majority were unhappy waiting more than one week for goods. They found 97 percent of products shipped from four Northeastern warehouses to customers nationwide.
“We focused on the story,” Ngoc Pham said. “The judges liked that the flow was easy to follow and there were specific recommendations that could be applied within one to three months.”
Second Place — Quyen Le, Tung Nguyen, Cong Ngo
Le ‘20, Nguyen ’20 and Ngo ’20 approached the QVC data with the question: Does delivery speed matter?
They calculated delivery times for loyal shoppers who purchased things more than once and one-time shoppers in eight different product categories. They concluded that customer retention would increase by 27 percent if the company improved delivery times. QVC could do that by changing its warehouse system.
“Our strategies optimized distribution of work to ship the right products to the right people at the right time,” Le said.
Emerging Technology Development Challenges
Third Place — Albert Semin, Christopher Sidorchuck, Graham Geiger, Mason Elliott
Blockchain technology is new and oft-challenging to comprehend. That’s one reason Semin ‘19, Sidorchuck ‘19, Geiger ‘20 and Elliott ‘20 decided to accept the challenge.
The team put together a network that, while mostly theoretical, “could absolutely work 100 percent,” said Sidorchuck said. It created a transparent supply chain that allowed decisions to be made in real time, keeping all participants in a project accountable while also maintaining privacy needs.
“Some people say (blockchain technology) is going to be as big as the Internet or close,” said Sidorchuck, “I don’t know about that, but it’s going to be pretty important in the next 10 or 20 years. “
