This paper is about the application of business intelligence in real-world scenarios and requires three kinds of analysis: describes business data (descriptive analytics); use of statistical methods to simulate and predict future outcomes (predictive analytics); and in the context of your stated business case, you will also use BI to simulate desired business states by changing business parameters in order to determine optimal business decisions (prescriptive analytics)
I have provided an audited data set to complete these analyses. Since this is the data on Kaggle, please ensure that the analysis is original because the paper needs to be verified.
You can choose a business intelligence software such as Tableau, MicroStrategy, SAS VA, or Plannerslab. Please tell me which software you are going to use before start writing.
Please add the necessary screenshots or picture to the article to match the analysis and explanation.
Since the paper requires up to 20 pages, in addition to analyzing the content, you may need to add some content about business intelligence, or the application of business intelligence in retail. Sorry, this paper does not have a clear example or outline requirement. But please complete it as a Master level paper.
In addition, I have provided the completed literature review, please add it to the paper, so the article should be more than 20 pages. It would be very nice if you could help me modify it. Another important point is please use high-quality sources instead of news.
 
 
 
Term paper: With the term paper, you demonstrate that you can independently apply what you learned in class to a business problem, similar to what you will do in a regular business setting. You are free to select a data set from a public or non-public source, including Kaggle.com, TUN, SAS, Tableau, or Google Fusion tables (which all have libraries of sample data). The data set must be non-trivial, meaning it contains hundreds or thousands of observations, such as sales transactions, credit card applications etc. If the data is from a non-public source, de-identification is suggested.
 
Your term paper should contain all three types of analytics we discuss in the class, which is data analytics that describes business data (descriptive analytics), use of statistical methods to simulate and predict future outcomes (predictive analytics), and in the context of your stated business case, you will also use BI to simulate desired business states by changing business parameters in order to determine optimal business decisions (prescriptive analytics). You will document your data analysis goal and desired use-case, then you document how you process data through ETL, perform functional and structural data modeling, and proceed to different types of analytics and data visualization. You are free to use one or many tools, preferably tools we used in the class. It is important that you interpret the results in a business context.
It is required that you conduct some research to substantiate your methodology and any analytical methods you use.
Acceptable materials are peer reviewed. The paper is formatted in APA style and must have all required sections, including a literature overview, with a minimum of 20 and a maximum of 30 pages, including screenshot attachments.
You need at least 10 quality sources (peer reviewed papers, books, or case studies). The paper is submitted at or before the due date in the respective Turn-it-in drop-box. Finally, you need to create and post a PowerPoint presentation that summarizes the important facts of your paper.
 
 
 
 

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