In this assignment, you will analyze current data mining practices and evaluate the pros and cons of data mining. You will research an example of a company that has successfully practiced data mining to forecast the market and a company that could not leverage data mining effectively to forecast the market. 

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 a company that has successfully practiced data mining to forecast the market.
  • Explain the company’s forecasting model.
  • Describe how they deployed these data mining practices, the insights they gleaned, and the outcomes they achieved.
• Provide an example of a company that experienced a failure in data mining that led to an incorrect market forecast.
  • Explain the company’s forecasting model.
  • What pitfalls did the organization fall into?
  • Explain which data mining best practice(s) they could have implemented instead to avoid this failure.

The Data Mining Best Practices paper

• must be two to three double-spaced pages in length (not including title and references pages, charts or tables), and formatted according to APA StyleLinks to an external site. as outlined in the Writing Center’s APA Formatting for Microsoft WordLinks to an external site. resource.
• must include a separate title page with the following:
  • title of paper in bold font
    • Space should appear between the title and the rest of the information on the title page.
  • student’s name
  • name of institution (The University of Arizona Global Campus)
  • course name and number
  • instructor’s name
  • due date