CIS 356 Entire Course NEW

STAYER CIS 356 Week 3 Assignment 1: DDS, BI, Business
Analytics, and Predictive Analytics NEW
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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.

STAYER CIS 356 Week 4 Case Study 1: HP Applies Management
Science Modeling to Optimize Its Supply Chain and Wins a
Major Award NEW
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science-modeling-to-optimize-its-supply-chain-and-wins-
a-major-award-recent
Case Study 1: HP Applies Management Science Modeling to
Optimize Its Supply Chain and Wins a Major Award
Read the End of Chapter Application Case titled, “HP Applies
Management Science Modeling to Optimize Its Supply Chain and
Wins a Major Award”, located in Chapter 4 of the textbook.
Write a three to four (3-4) page paper in which you:
Identify the problems that a large company such as HP might
face in offering many product lines and options.
Summarize your understanding of the models and the
algorithms used by HP.
Assess the business benefits that HP derived from
implementation of the models.
Conduct an additional online search to find more details about
the algorithms and similar models. Propose at least one (1)
additional model or algorithm that you could use to solve HP’s
problems.

Explain why C-level executives must be engaged and committed
in this kind of effort. (Consider points that Chou mentioned
during his acceptance of the Edelman Award.)
Use at least three (3) quality references in this
assignment.Note: Wikipedia and similar Websites do not
qualify as quality resources.
assignment are:
Compare and contrast DSS modeling techniques and analysis.
Describe DSS software packages and their application into
organizational practice.
Develop a decision support solution to solve a proposed
business problem.
data mining.

STAYER CIS 356 Week 6 Assignment 2: Attacking Customer
Churn with Text and Web Analytics NEW
356-week-6-assignment-2-attacking-customer-churn-
with-text-and-web-analytics-recent
Assignment 2: Attacking Customer Churn with Text and Web
Analytics
Imagine that you are a marketing executive at a major
telecommunication company that has been facing the issue of
increased customer churn recently. You are using traditional
analytical methods with financial and location data to construct
a predictive model for customer churn. However, you want to
leverage memo data that has been obtained from the customer
contact center and local sells stores. You also believe that the
Web blogs and posts contain very important information that
you could use to attack customer churn. Examining the
unstructured data and the structured data together may
provide more insight on why customers want to leave one
company and join another company.
Evaluate the importance of unstructured data in the churn

analysis.
List other structured and unstructured data other than the
memo and Web blogs that you need to use in your churn
analysis.
Propose a series of steps for deriving a predictive model using
text and Web analytics. Provide at least one (1) example of how
the process can be integrated in the modeling process using
structured data.
Identify at least two (2) technologies that you can use to
construct the predictive model and highlight their pros and
cons.
Explain why “voice of the customer” carries much more insight
into churn analysis and prevention.
Suggest at least one (1) churn prevention method that you can
use to reduce your churn rate based on your model.
resources.
assignment are:
Explain the application of business analytics and data mining in
Business Intelligence (BI).
Describe methods of data mining and what insights may be

gained by these methods.
data mining.
Describe the application of data mining to information, data,
and databases.
Explain the role of text mining and Web mining as they relate to
BI and DSS.
business problem.

STAYER CIS 356 Week 7 Case Study 2: Continental Airlines Flies
High With Its Real-Time Data Warehouse NEW
356-week-7-case-study-2-continental-airlines-flies-high-
with-its-real-time-data-warehouse-recent
Case Study 2: Continental Airlines Flies High With Its Real-Time
Data Warehouse
Read the End of Chapter Application Case entitled, “Continental
Airlines Flies High With Its Real-Time Data Warehouse”,
located on page 369 to 371 of the textbook.
Write a three to four (3-4) page paper in which you:
Examine the Continental Airlines Go Forward plan and its
business benefits.
Explain why it is important for an airline to use a real-time data
warehouse.
Examine the major differences between the traditional data
warehouse and a real-time data warehouse, as was
implemented at Continental Airlines.
Identify strategic advantages that Continental Airlines can
derive from the real-time system as opposed to a traditional
information system and explain why.
Assess the factors that contributed to the successful
implementation of the real-time data warehouse.
Propose at least two (2) ways that Continental Airlines can
enhance the established data warehouse system in the future.

resources.
assignment are:
Describe the role of data warehouses in the context of DSS.
business problem.
data mining.
and technical style conventions

STAYER CIS 356 Week 8 Case Study 3: CPFR Initiatives at Ace
Hardware and Sears NEW
356-week-8-case-study-3-cpfr-initiatives-at-ace-
hardware-and-sears-recent
Case Study 3: CPFR Initiatives at Ace Hardware and Sears
Read Application Case 10.6 titled, “CPFR Initiatives at Ace
Hardware and Sears”, located in Chapter 10 of the textbook.
Examine the business drivers for implementing Collaborative
Planning, Forecasting, and Replenishment (CPFR) at Ace
Hardware.
Explain how Ace Hardware deployed its CPFR system and
suggest at least two (2) improvement opportunities.
Explain why Sears started using CPFR with tires. Recommend
an alternative area that Sears should start with CPFR and
explain your reasons.
Explain the business benefits of CPFR to Sears and to its
suppliers, and explain how the suppliers may improve Sears’s
operational efficiency.
resources.

assignment are:
Describe collaborative and group support systems (GSS) and
tools in the context of managerial decision making.
business problem.
data mining.

STAYER CIS 356 Week 9 Case Study 4: Knowledge Management
in Siemens NEW
356-week-9-case-study-4-knowledge-management-in-
siemens-recent
Case Study 4: Knowledge Management in Siemens
Read the End of Chapter Application Case titled, “Siemens
Keeps Knowledge Management Blooming with ShareNet”
located in Chapter 11 of the textbook.
Examine the business drivers for Siemens KMS.
Identify what efforts contributed to Siemens’s higher return on
investment.
Explain why the culture transformation took place at Siemens
and identify the lines of business that benefit from those
changes.
Explain how Siemens KMS uses Internet and Web technologies.
Suggest at least two (2) additional DSS technologies that
Siemens can use for its future KMS effort.
Determine the pros and cons of the two (2) additional DSS

technologies that you recommended.
resources.
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.
assignment are:
Describe the role of knowledge management in organizational
activities.
business problem.
data mining.

STAYER CIS 356 Week 10 Term Paper: 360-Degree View of the
Customer NEW
356-week-10-term-paper-360-degree-view-of-the-
customer-recent
Term Paper: 360-Degree View of the Customer
Fictitious assumptions and details may be assumed or created
for the completion of this assignment. Applications cases and
examples in the textbook and elsewhere may be used to
support your discussions and your examples.
Imagine you are a senior executive in a company (e.g., bank,
retail chain, telecommunication, insurance, etc.) that is
undergoing some major changes (e.g., regulatory, market
condition, competition, disruptive technologies, etc.). You want
to completely understand your customers, so the company can
be more successful in generating revenue from existing
customers and / or gain new customers. You believe that by
understanding your customers demographics, financial
information, credit score, spending pattern, and so on, you can
provide better customer service, market your products, create
new products, and retain your customers. There are many

technologies, solutions, and processes that you can leverage to
obtain this information. There are also many new technologies
that have emerged in recent years, such as RFID, Mobility, and
Big Data (Hadoop). You have to develop long-term and short-
term strategies and implement a set of DSS and BI solutions to
meet your goal of achieving a 360-degree view of your
customers.
Write a ten to fifteen (10-15) page paper in which you:
Identify at least three (3) business problems that you would
like to solve with your 360-degree view of customers.
Identify the business benefits of achieving a 360-degree view of
customers.
Prepare a:
long-term strategy to meet your goal of achieving a 360-degree
view of your customers.
short-term strategy to meet your goal of achieving a 360-
degree view of your customers.
Determine at least three (3) technologies total that you will
need to implement to achieve the goals of your:
long-term strategy.
short-term strategy.
Create at least one (1) diagram to highlight your solutions and
technology architecture.
Identify and analyze the key strengths and weakness of the
technologies you chose.
Propose and explain any processes you need to have for this
effort.
Propose the organizational changes or support you will need to
have for this effort.
Explain how you may leverage at least two (2) emerging
technologies, such as RFID, Mobility, and Big Data for your
effort.
Determine at least two (2) ethical issues that you would

encounter in your effort and how you would address them.
Use at least five (5) quality resources in this assignment.Note:
resources.
Include charts or diagrams created in Excel, Visio, MS Project,
or one of their equivalents such as Open Project, Dia, and
OpenOffice. The completed diagrams / charts must be imported
into the Word document before the paper is submitted.
assignment are:
Describe the ethical issues in DSS data in organizational
settings.
Analyze and critique emerging trends of management support
systems.
business problem.

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