Data mining best practices

Prior to beginning work on this assignment, review Chapter 21 of your textbook.
In this assignment, you will analyze current data mining practices and evaluate the pros and cons of data mining. Provide one example of a company that has successfully practiced data mining and discuss why they were successful. Then, research a company that experienced a failed data mining practice. What data mining best practices could they have implemented to avoid this failure?
In your paper,
Discuss the industry standards for data mining best practices.
Identify pitfalls in data mining, including practices that should be avoided.
Provide an example of company that has successfully practiced data mining. What steps and precautions did they take to ensure the success of their data mining endeavor? How did they keep customer data safe?
In a second example, research a company that experienced a failed data mining experience. What pitfalls did the organization fall into? What would you have done differently?
The Data Mining Best Practices paper
Must be four to five double-spaced pages in length (not including title and references pages) and formatted according to APA Style (Links to an external site.)
Must include a separate title page with the following:Title of paper in bold fontSpace should appear between the title and the rest of the information on the title page.

Student’s name
Name of institution
Course name and number
Instructor’s name
Due date

Must utilize academic voice.
Must include an introduction and conclusion paragraph. Your introduction paragraph needs to end with a clear thesis statement that indicates the purpose of your paper.
Must use at least two credible sources in addition to the course text
Must document any information used from sources in APA Style.
Must include a separate references page that is formatted according to APA Style
Please cite refences