Description
Final Term Paper
Assignment:
Write a 7-8-page APA formatted paper on a business problem that requires data mining, why the problem is interesting, the general approach you plan to take, what kind of data you plan to use, and finally how you plan to get the data. You should describe your problem, approach, dataset, data analysis, evaluation, discussion, references, and so on, in sufficient details, and you need to show supporting evidence in tables and/or figures. You need to provide captions for all tables and figures.
Your paper should include an abstract and a conclusion and a reference page with 3-5 references.
Requirements:
Submission of paper topic and preliminary references (NOTE: Late papers (up to 24 hours late) will receive a 50% penalty. Papers not turned in within 24 hours of the due date will receive a grade of ZERO!)
The final term paper will be complete individually.
Sections
The following sections should be outlined as Headers in the paper.
Introduction
Background
Discussion
Conclusion
References
All written reports should be submitted in MS Word.
Explanation & Answer
Here is the main paper. In case of any question or editing let me know and I'll assist you in doing it. Stay safe buddy.
Running head: CUSTOMER RELATIONSHIP MANAGEMENT
Customer Relationship Management
Student’s Name
University Affiliation
Date of Submission
1
CUSTOMER RELATIONSHIP MANAGEMENT
2
Abstract
Customer relationship management (CRM) is a technology system used to manage an
organization’s interactions and relationships with people they have worked with or
potentially could work with. This paper focuses on vital Customer Relationship Management
(CRM) systems that can be used to aid in a health care system’s data mining procedure. The
paper is divided into four parts; The Introduction, Background, Discussion, and the
Conclusion. The introduction gives a summary of data mining definition and covers an indepth insight into the Customer Relationship Management. It also summarizes the problem
facing customer relationship management in the health care system. The paper's background
elaborates the data mining problem, a general approach to the problem, the different datasets,
how the data will be analyzed, and an evaluation. Besides, the discussion section entails the
findings of the problem after its evaluation. The paper finalizes with a conclusion section
giving a summary of the paper and gives a summary of the importance of Customer
Relationship Management.
CUSTOMER RELATIONSHIP MANAGEMENT
3
Customer Relationship Management
Introduction
Data mining is defined as a process of questioning, initially unidentified, and
potentially indispensable information from massive databases through the usage of practical
knowledge of discovery techniques. The patient information's security and privacy have
become substantial public policy anxieties. These anxieties are profoundly getting increased
interests from both the public and the government's lawmakers and controllers, media, and
health organizations worldwide. On most occasions, data mining of customer relationship
management opens up new assumption dimensions while detecting new invasion patterns and
raises poor customer relationship management problems. Due to the recent developments of
the technology systems in the current world, this has enabled more accessible collection and
processing of tremendous personal data regarding treatment, diagnosis, medications, clinical
interventions, and nursing care plan systems. The primary aim of this paper is to select and
analyze an interesting problem in healthcare that can be solved using data mining techniques.
The paper will describe the problem, the approaches, datasets to be used, the data analysis,
and the data evaluation.
Customer relationship management (CRM) is a technology system used to manage an
organization's interactions and relationships with people they have worked with or potentially
could work with. CRM has been a public policy concern in the health care system fo...
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