HUM 102 MODULE THREE SHORT ANSWER ASSIGNMENT GUIDELINES AND RUBRIC

[ORDER] In this assignment, you will analyze current data mining practices and evaluate the pros and cons of data mining.

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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.

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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
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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.

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