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CIS 356 Week 3 Assignment 1: DDS, BI,
Business Analytics, and Predictive Analytics
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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_analytics.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.
********************************************************

CIS 356 Week 4 Case Study 1: HP Applies
Management Science Modeling to Optimize Its
Supply Chain and Wins a Major Award
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 additionalonline 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:
instructions.
page length.
are:
Compare and contrast DSS modeling techniques and analysis.
Describe DSS software packages and their application into
organizationalpractice.
Develop a decision support solution to solve a proposed business
problem.
mining.

conventions.
********************************************************
CIS 356 Week 6 Assignment 2: Attacking
Customer Churn with Text and Web Analytics
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 highlighttheir 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.

instructions.
page length.
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.
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.
problem.

conventions.
********************************************************
CIS 356 Week 7 Case Study 2: Continental
Airlines Flies High With Its Real-Time Data
Warehouse
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.
instructions.
page length.
are:
Describe the role of data warehouses in the context of DSS.
problem.

mining.
conventions.
********************************************************
CIS 356 Week 8 Case Study 3: CPFR Initiatives
at Ace Hardware and Sears
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.
instructions.
page length.
are:

Describe collaborative and group support systems (GSS) and tools in
the context of managerial decision making.
problem.
mining.
conventions.
********************************************************
CIS 356 Week 9 Case Study 4: Knowledge
Management in Siemens

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) additionalDSS technologies that Siemens can
use for its future KMS effort.
Determine the pros and cons of the two (2) additionalDSS technologies
that you recommended.
instructions.

page length.
are:
Describe the role of knowledge management in organizationalactivities.
problem.
mining.
conventions.
********************************************************
CIS 356 Week 10 Term Paper: 360-Degree View
of the Customer

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 highlightyour 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 organizationalchanges 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: Wikipedia
and similar Websites do not qualify as quality resources.
instructions.
page length.
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.
are:

Describe the ethical issues in DSS data in organizationalsettings.
Analyze and critique emerging trends of management support systems.
problem.
conventions.
********************************************************

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