Prior to beginning work on this assignment:

· Read Chapters 11, 12, 13, and 14 in your textbook, Business Analytics: Communicating with Numbers, 2e. Jaggia, S. (2023). Business analytics: Communicating with numbers (2nd ed.). McGraw-Hill Higher Education.

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 Style

· 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

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