Running head: Data Mining & Business Analytics Mid Term
MIS 5375 580: Data Mining & Business Analytics Mid Term Exam
Mukesh Reddy Dhanagari
Texas A&M International University
Author Note
Mukesh Reddy Dhanagari is a student of Texas A&M International University from the department of Information Systems.
This document is in correspondence with the course MIS 5375 580 for the purpose of midterm examination only.
Any concerns regarding can be addressed to mukeshreddydhanagari@dusty.tamiu.edu
Running head: Data Mining & Business Analytics Mid Term
1. Explain what data mining and business analytics consist of and how they differ and resemble each other.
Data mining is a process of extracting data which cannot be identified using simple analysis. This process helps to extract different trends and patterns in large datasets using complicated mathematical algorithms. The properties of data mining are said to be Automatic discovery of patterns, Prediction of likely outcomes, Creation of actionable …show more content…
This kind of research are conducted to determine the type of problem, they help to have a good understanding of the problem. Saunders et al. (2007, p.134) warn that when conducting exploratory research, the researcher ought to be willing to change his/her direction as a result of revelation of new data and new insights. Even though it does not provide any final results it provides some details on the research topic with some exposure and depth in the topic. It is said that “Exploratory research tends to tackle new problems on which little or no previous research has been done” (Brown, 2006, p.43). In addition, it is to be considered that exploratory research is the initial research; it forms the basis for more conclusive research. It can even help in determining the research design, sampling methodology and data collection method” (Singh, 2007,
MIS 5375 580: Data Mining & Business Analytics Mid Term Exam
Mukesh Reddy Dhanagari
Texas A&M International University
Author Note
Mukesh Reddy Dhanagari is a student of Texas A&M International University from the department of Information Systems.
This document is in correspondence with the course MIS 5375 580 for the purpose of midterm examination only.
Any concerns regarding can be addressed to mukeshreddydhanagari@dusty.tamiu.edu
Running head: Data Mining & Business Analytics Mid Term
1. Explain what data mining and business analytics consist of and how they differ and resemble each other.
Data mining is a process of extracting data which cannot be identified using simple analysis. This process helps to extract different trends and patterns in large datasets using complicated mathematical algorithms. The properties of data mining are said to be Automatic discovery of patterns, Prediction of likely outcomes, Creation of actionable …show more content…
This kind of research are conducted to determine the type of problem, they help to have a good understanding of the problem. Saunders et al. (2007, p.134) warn that when conducting exploratory research, the researcher ought to be willing to change his/her direction as a result of revelation of new data and new insights. Even though it does not provide any final results it provides some details on the research topic with some exposure and depth in the topic. It is said that “Exploratory research tends to tackle new problems on which little or no previous research has been done” (Brown, 2006, p.43). In addition, it is to be considered that exploratory research is the initial research; it forms the basis for more conclusive research. It can even help in determining the research design, sampling methodology and data collection method” (Singh, 2007,