Home » Downloads » Discuss the industry standards for data mining best practices.

Discuss the industry standards for data mining best practices.

Discuss the industry standards for data mining best practices.

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,

Discuss the industry standards for data mining best practices.

Identify pitfalls in data mining, including practices that should be avoided.

Provide an example of company that has successfully practiced data mining. What steps and precautions did they take to ensure the success of their data mining endeavor?

How did they keep customer data safe?

In a second example, research a company that experienced a failed data mining experience. What pitfalls did the organization fall into? What would you have done differently?

The Data Mining Best Practices paper

 

Must be four to five double-spaced pages in length (not including title and references pages) and formatted according to APA Style (Links to an external site.) as outlined in the Writing Center’s APA Formatting for Microsoft Word (Links 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 (University of Arizona Global Campus)Course name and number

Instructor’s name

Due date

Answer preview to discuss the industry standards for data mining best practices.

Discuss the industry standards for data mining best practices.
APA

1481 words

Get instant access to the full solution from yourhomeworksolutions by clicking the purchase button below

Accounting

Applied Sciences

Article Writing

Astronomy

Biology

Business

Calculus

Chemistry

Communications

Computer Science

Counselling

Criminology

Economics

Education

Engineering

English

Environmental

Ethics

Film

Food and Nutrition

Geography

Healthcare

History and Government

Human Resource Managment

Information Systems

Law

Literature

Management

Marketing

Mathematics

Nursing

Philosophy

Physics

Political Science

Psychology

Religion

Sociology

Statistics

Writing

Terms of service

Contact