DDS, BI, predictive analytics, and customer churn

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
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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:

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.
mining.
conventions.
===============================================

CIS 356 Week 6 Assignment 2 Attacking Customer Churn
with Text and Web Analytics
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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.

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.
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
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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.

assignment 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

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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.
assignment 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
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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.

assignment are:
Describe the role of knowledge management in organizational
activities.
problem.
mining.
conventions.
===============================================
CIS 356 Week 10 Term Paper 360 Degree View of the
Customer

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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:
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.
problem.
conventions.
===============================================

DDS, BI, predictive analytics, and customer churn

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