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

· 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 

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 source in addition to the course text. NO AI