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STAYER CIS 356 Week 3 Assignment 1: DDS, BI, Business
Analytics, and Predictive Analytics NEW
Check this A+ tutorial guideline at
http://www.uopassignments.com/cis-356-strayer/cis-
356-week-3-assignment-1-dds-bi-business-analytics-and-
predictive-analytics-recent
For more classes visit
http://www.uopassignments.com
Assignment 1: DDS, BI, Business Analytics, and Predictive
Analytics
Due Week 3 and worth 100 points
The following resources may be helpful when completing this
assignment:
Subprime Mortgage Meltdown
(http://www.bestwaytoinvest.com/subprime-meltdown)
Predictive Analytics Guide
(http://www.predictiveanalyticsworld.com/predictive_analytic
s.php)
How to: Operationalize Business Analytics (located in Week 3 of
the online course shell)
Architecture for Business Analytics: A Conceptual Viewpoint
(located in Week 3 of the online course shell)
DDS, BI, business analytics, and predictive analytics overlap
from a business applications perspective; yet, they are different
from one another in their underlying methodologies and
technologies. It is critical to understand the similarities and
differences among those concepts.
Imagine that you are a CFO of a regional bank that has had
exposure to subprime mortgage. You need to understand how
to use Decision Support Systems (DSS), Business Intelligence
(BI), business analytics, and predictive analytics to ensure that
your bank has the right risk management practice to prevent
any significant damage from subprime mortgage or other risky
asset or investment.
Write a four to five (4-5) page paper in which you:
Compare and contrast the similarities and differences among
DDS, BI, business analytics, and predictive analytics in terms of
their respective business scope and origins / histories.
Compare and contrast the methodologies used in DDS, BI,
business analytics, and predictive analytics.
Compare and contrast the technologies used in DDS, BI,
business analytics, and predictive analytics.
Use the subprime mortgage as an example and explain how you
would use DDS, BI, business analytics, and predictive analytics
to ensure that your company can make profits from its
investment and control risks at the same time.
Evaluate the capabilities of DSS in your dealing with subprime
mortgage. Propose how you would use the four (4) capabilities
of DSS to improve your overall strategy for risk management.
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:
Describe decision support systems (DSS) in the context of
managerial decision making.
Compare and contrast DSS modeling techniques and analysis.
Use technology and information resources to research issues in
data mining.
Write clearly and concisely about Decision Support and
Business Intelligence topics using proper writing mechanics
and technical style conventions.

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Stayer cis 356 week 3 assignment 1

  • 1. STAYER CIS 356 Week 3 Assignment 1: DDS, BI, Business Analytics, and Predictive Analytics NEW Check this A+ tutorial guideline at http://www.uopassignments.com/cis-356-strayer/cis- 356-week-3-assignment-1-dds-bi-business-analytics-and- predictive-analytics-recent For more classes visit http://www.uopassignments.com Assignment 1: DDS, BI, Business Analytics, and Predictive Analytics Due Week 3 and worth 100 points The following resources may be helpful when completing this assignment: Subprime Mortgage Meltdown (http://www.bestwaytoinvest.com/subprime-meltdown) Predictive Analytics Guide (http://www.predictiveanalyticsworld.com/predictive_analytic s.php) How to: Operationalize Business Analytics (located in Week 3 of the online course shell) Architecture for Business Analytics: A Conceptual Viewpoint (located in Week 3 of the online course shell) DDS, BI, business analytics, and predictive analytics overlap
  • 2. from a business applications perspective; yet, they are different from one another in their underlying methodologies and technologies. It is critical to understand the similarities and differences among those concepts. Imagine that you are a CFO of a regional bank that has had exposure to subprime mortgage. You need to understand how to use Decision Support Systems (DSS), Business Intelligence (BI), business analytics, and predictive analytics to ensure that your bank has the right risk management practice to prevent any significant damage from subprime mortgage or other risky asset or investment. Write a four to five (4-5) page paper in which you: Compare and contrast the similarities and differences among DDS, BI, business analytics, and predictive analytics in terms of their respective business scope and origins / histories. Compare and contrast the methodologies used in DDS, BI, business analytics, and predictive analytics. Compare and contrast the technologies used in DDS, BI, business analytics, and predictive analytics. Use the subprime mortgage as an example and explain how you would use DDS, BI, business analytics, and predictive analytics to ensure that your company can make profits from its investment and control risks at the same time. Evaluate the capabilities of DSS in your dealing with subprime mortgage. Propose how you would use the four (4) capabilities of DSS to improve your overall strategy for risk management. 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
  • 3. 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: Describe decision support systems (DSS) in the context of managerial decision making. Compare and contrast DSS modeling techniques and analysis. Use technology and information resources to research issues in data mining. Write clearly and concisely about Decision Support and Business Intelligence topics using proper writing mechanics and technical style conventions.