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,
The Data Mining Best Practices paper
Grade is based on this criteria:
Distinguished – Thoroughly discusses the industry standards for data mining best practices.
Distinguished – Clearly and accurately identifies pitfalls in data mining, including practices that should be avoided.
Distinguished – Provides a detailed, appropriate example of a company that has successfully practiced data mining, and thoroughly discusses how and why they were successful.
Distinguished – Provides a detailed, appropriate example of a company that experienced a failed data mining experience, and clearly and accurately identifies the pitfalls in their data mining practice and what could have been done differently.
Distinguished – Displays meticulous comprehension and organization of syntax and mechanics, such as spelling and grammar. Written work contains no errors and is very easy to understand.
Distinguished – Accurately uses APA formatting consistently throughout the paper, title page, and reference page.
Distinguished – Uses more than the required number of scholarly sources, providing compelling evidence to support ideas. All sources on the reference page are used and cited correctly within the body of the assignment.
Distinguished – The length of the paper is equivalent to the required number of correctly formatted pages.