Week 9 Assignment 4 Submission If you are using the Blackboard Mobile Learn IOS App, please click "View in Browser." Click the link above to submit your assignment. Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center.  Instructors, training on how to grade is within the Instructor Center. Assignment 4: Data Mining Due Week 9 and worth 75 points  The development of complex algorithms that can mine mounds of data that have been collected from people and digital devices have led to the adoption of data mining by most businesses as a means of understanding their customers better than before. Data mining takes place in retailing and sales, banking, education, manufacturing and production, health care, insurance, broadcasting, marketing, customer services, and a number of other areas. The analytical information gathered by data-mining applications has given some businesses a competitive advantage, an ability to make informed decisions, and better ways to predict the behavior of customers. Write a four to five (4-5) page paper in which you:  Determine the benefits of data mining to the businesses when employing:  Predictive analytics to understand the behavior of customers Associations discovery in products sold to customers Web mining to discover business intelligence from Web customers Clustering to find related customer information Assess the reliability of the data mining algorithms. Decide if they can be trusted and predict the errors they are likely to produce. Analyze privacy concerns raised by the collection of personal data for mining purposes.  Choose and describe three (3) concerns raised by consumers. Decide if each of these concerns is valid and explain your decision for each. Describe how each concern is being allayed. Provide at least three (3) examples where businesses have used predictive analysis to gain a competitive advantage and evaluate the effectiveness of each business’s strategy. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements:  Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are:  Explain how information technology systems influence organizational strategies. Evaluate the ethical concerns that information technologies raise in a global context. Outline the challenges and strategies of e-Business and e-Commerce technology. Use technology and information resources to research iss.

1. Week 9 Assignment 4 Submission
If you are using the Blackboard Mobile Learn IOS App, please
click "View in Browser."
Click the link above to submit your assignment.
Students, please view the "Submit a Clickable Rubric
Assignment" in the Student Center.
Instructors, training on how to grade is within the Instructor
Center.
Assignment 4: Data Mining
Due Week 9 and worth 75 points
The development of complex algorithms that can mine mounds
of data that have been collected from people and digital devices
have led to the adoption of data mining by most businesses as a
means of understanding their customers better than before. Data
mining takes place in retailing and sales, banking, education,
manufacturing and production, health care, insurance,
broadcasting, marketing, customer services, and a number of
other areas. The analytical information gathered by data-mining
applications has given some businesses a competitive
advantage, an ability to make informed decisions, and better
ways to predict the behavior of customers. Write a four to five
(4-5) page paper in which you:
Determine the benefits of data mining to the businesses when
employing:
Predictive analytics to understand the behavior of customers
Associations discovery in products sold to customers
Web mining to discover business intelligence from Web
customers
Clustering to find related customer information
Assess the reliability of the data mining algorithms. Decide if
they can be trusted and predict the errors they are likely to
produce.
Analyze privacy concerns raised by the collection of personal
data for mining purposes.

2. Choose and describe three (3) concerns raised by consumers.
Decide if each of these concerns is valid and explain your
decision for each.
Describe how each concern is being allayed.
Provide at least three (3) examples where businesses have used
predictive analysis to gain a competitive advantage and evaluate
the effectiveness of each business’s strategy.
Use at least three (3) quality resources in this assignment. Note:
Wikipedia and similar Websites do not qualify as quality
resources.
Your assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size
12), with one-inch margins on all sides; citations and references
must follow APA or school-specific format. Check with your
professor for any additional instructions.
Include a cover page containing the title of the assignment, the
student’s name, the professor’s name, the course title, and the
date. The cover page and the reference page are not included in
the required assignment page length.
The specific course learning outcomes associated with this
assignment are:
Explain how information technology systems influence
organizational strategies.
Evaluate the ethical concerns that information technologies
raise in a global context.
Outline the challenges and strategies of e-Business and e-
Commerce technology.
Use technology and information resources to research issues in
information systems and technology.
Write clearly and concisely about topics related to information
systems for decision making using proper writing mechanics
and technical style conventions.
Grading for this assignment will be based on answer quality,
logic / organization of the paper, and language and writing
skills. Click
here

3. to view the grading rubric for this assignment.