Search Results for: Analytics

1. For this class project I researched Big Data. The concept of Big Data is extremely relevant to MIS2502. The assignment can be viewed at: http://community.mis.temple.edu/shorgan/coursework/mis2502-big-data/

Research

This projects over the topic of cloud based analytics. It describes a set of technological and analytical tools and techniques specifically designed to help clients extract information from massive data(Wikipedia, 2018) and how this technique is used in our class. It has given us a  skills to use like Tableau and Tableau Prep which is demanded in the job market nowadays.

 

The goal of this class project was to determine the relationship between the Internet of Things (IoT) and one concept we studied in our Data Analytics course. As an avid user of smart light bulbs, it was very  insightful to further understand the back-end architecture of smart lights through the lens of the IoT. After completing this project, I learned how data is transmitted from my smart light mobile app to my IKEA smart light bulbs. Please read more about my interesting findings here. How the IoT relates to Data Analytics

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

The goal of this project was to write a short essay about a data analytics topic. I chose Big Data. I learned that Big Data is only getting bigger. Data is being collecting through everything nowadays and businesses must learn how to store and analyze it in order to get a competitive edge. Businesses who do not learn how to work with data will be left in the dust.

Rich Wagner

For my capstone class, my team was assigned the project of Python versus R for Data Analytics.

http://https://www.slideshare.net/AndreaBehler/python-versus-r-for-data-analytics-142132013

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.

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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/

The goal of this project was to research a Data Analytics topic which corresponds with MIS 2502. In our research of the topic we were to include a brief overview, how it relates to the course, and a real world example of it implementation.

You can click here to view my Research!

Through the research I learned about cloud based analytics and it implementation in the professional sphere.  A popular cloud based analytics platform is  IBM’s Bluemix.  Bluemix is used by companies to quickly and accurately create applications that can scale to millions of users.

Research a current topic on Data Analytics that we have not covered extensively in class. You will create a write-up, and the purpose of this assignment is to give you an outlet to display your ability to understand and describe an aspect of data analytics to your current and future employers.

http://community.mis.temple.edu/georgeweaver/combining-healthcare-iot-and-data-analytics/

MIS2502: Data Analytics
Extra Credit Assignment (and Professional Achievement Points!)

The deadline is 11:59 PM on Apr 28, 2018. No late submissions will be accepted!

Overview and Purpose:

Research a current topic on Data Analytics that we have not covered extensively in class. You will create a write-up, and the purpose of this assignment is to give you an outlet to display your ability to understand and describe an aspect of data analytics to your current and future employers.

Possible topics:

• Big data
• Distributed data technologies (i.e., Hadoop)
• Natural Language Processing
• Text mining and sentiment analysis
• Virtual data cubes and/or in-memory analytics
• The Internet of Things (IoT)
• Cloud-based analytics/Cloud computing
• NoSQL databases
• Deep learning
• Artificial Intelligence
• Social network analysis/analytics

You don’t have to choose one of these, but if you’re unsure of your topic choice ask me first.

For all students: Everyone who successfully completes the assignment will receive 30 points extra credit added to the last assignment. If you are a MIS major, you can also receive 50 “Professional Achievement Points.” [1]

Deliverable:

For MIS majors who would like to receive Professional Achievement Points:

For non-MIS majors, or MIS majors who do not want to receive Professional Achievement Points:

·       A page on your Community Site E-Portfolio that summarizes your research. (Your write-up should be formatted as an HTML page and posted to your E-Portfolio. In other words, DO NOT POST A PDF OR WORD DOCUMENT.) ·       On Canvas->Assignments>To-Do, submit the links to the front page of your Community Site E-Portfolio and to your write-up page.   If you are an MIS major and do not have an E-Portfolio, instructions to make one are here: http://community.mis.temple.edu/professionalachievement/e-portfolios/

·       On Canvas->Assignments>To-Do, submit a write-up as a word document ·       You do not need to have an E-Portfolio

 

Content:

Your write-up should be between 300 and 400 words, not including references.

You should cover the following points in your writeup:

• A brief overview of the topic (i.e., what is it and why is it important).
• How the topic relates to the material we have covered in MIS2502. How does it build on the concepts covered in the course? What are the related topics in MIS2502?
• An example that describes how this tool or technique has been applied in practice.
• Citation Guidelines: If you use materials (text, figures, data, etc.) in the writeup that was created by others, you must identify the source and clearly differentiate your work from the materials that you are referencing. Failure to do so will be considered plagiarizing. There are many different acceptable formats that you can use to cite the work of others. The format is not as important as the intent. You must clearly show the reader what is your work and what is a reference to someone else’s work.

Evaluation:

To receive credit, your deliverable must satisfy these criteria:

• The three areas described in the “Content” section must be covered.
• The text must be in your own words. Paraphrase your sources; do not quote directly from them.
• You should cite all the sources you use in a professionally formatted bibliography at the end of your write-up.
• If you are a MIS major and would like to receive points, your write-up should be formatted as an HTML page and posted to your E-Portfolio.
• The write-up should look professional and be free of grammatical errors and typos.

There is no partial credit! If you don’t meet all of these requirements, you will receive no credit for this assignment.

 

[1] For more information about Professional Achievement Points for MIS Majors, see
http://community.mis.temple.edu/professionalachievement/