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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: 1. 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. 2. Compare and contrast the methodologies used in DDS, BI, business analytics, and predictive analytics. 3. Compare and contrast the technologies used in DDS, BI, business analytics, and predictive analytics. 4. 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. 5. 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. 6. 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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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 Due Week 4 and worth 60 points 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: 1. Identify the problems that a large company such as HP might face in offering many product lines and options. 2. Summarize your understanding of the models and the algorithms used by HP. 3. Assess the business benefits that HP derived from implementation of the models. 4. 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. 5. 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.) 6. Use at least three (3) quality references 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: • 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. • 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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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 Due Week 6 and worth 100 points 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. Write a four to five (4-5) page paper in which you: 1. Evaluate the importance of unstructured data in the churn analysis. 2. List other structured and unstructured data other than the memo and Web blogs that you need to use in your churn analysis. 3. 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. 4. Identify at least two (2) technologies that you can use to construct the predictive model and highlight their pros and cons.


5. Explain why “voice of the customer” carries much more insight into churn analysis and prevention. 6. Suggest at least one (1) churn prevention method that you can use to reduce your churn rate based on your model. 7. 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 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. • Use technology and information resources to research issues in 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. • Develop a decision support solution to solve a proposed business problem. • Write clearly and concisely about Decision Support and Business Intelligence topics using proper writing mechanics and technical style conventions.

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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 Due Week 7 and worth 60 points 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: 1. Examine the Continental Airlines Go Forward plan and its business benefits. 2. Explain why it is important for an airline to use a real-time data warehouse. 3. Examine the major differences between the traditional data warehouse and a real-time data warehouse, as was implemented at Continental Airlines. 4. Identify strategic advantages that Continental Airlines can derive from the real-time system as opposed to a traditional information system and explain why. 5. Assess the factors that contributed to the successful implementation of the real-time data warehouse. 6. Propose at least two (2) ways that Continental Airlines can enhance the established data warehouse system in the future. 7. 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 the role of data warehouses in the context of DSS. • Develop a decision support solution to solve a proposed business problem. • 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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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 Due Week 8 and worth 60 points


Read Application Case 10.6 titled, “CPFR Initiatives at Ace Hardware and Sears”, located in Chapter 10 of the textbook. Write a four to five (4-5) page paper in which you: 1. Examine the business drivers for implementing Collaborative Planning, Forecasting, and Replenishment (CPFR) at Ace Hardware. 2. Explain how Ace Hardware deployed its CPFR system and suggest at least two (2) improvement opportunities. 3. Explain why Sears started using CPFR with tires. Recommend an alternative area that Sears should start with CPFR and explain your reasons. 4. Explain the business benefits of CPFR to Sears and to its suppliers, and explain how the suppliers may improve Sears’s operational efficiency. 5. 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 collaborative and group support systems (GSS) and tools in the context of managerial decision making. • Develop a decision support solution to solve a proposed business problem. • 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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CIS 356 Week 9 Case Study 4 Knowledge Management in Siemens

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Case Study 4: Knowledge Management in Siemens Due Week 9 and worth 60 points


Read the End of Chapter Application Case titled, “Siemens Keeps Knowledge Management Blooming with ShareNet” located in Chapter 11 of the textbook. Write a four to five (4-5) page paper in which you: 1. Examine the business drivers for Siemens KMS. 2. Identify what efforts contributed to Siemens’s higher return on investment. 3. Explain why the culture transformation took place at Siemens and identify the lines of business that benefit from those changes. 4. Explain how Siemens KMS uses Internet and Web technologies. 5. Suggest at least two (2) additional DSS technologies that Siemens can use for its future KMS effort. 6. Determine the pros and cons of the two (2) additional DSS technologies that you recommended. 7. 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 the role of knowledge management in organizational activities. • Develop a decision support solution to solve a proposed business problem. • 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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CIS 356 Week 10 Term Paper 360-Degree View of the Customer

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Term Paper: 360-Degree View of the Customer Due Week 10 and worth 160 points


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: 1. Identify at least three (3) business problems that you would like to solve with your 360-degree view of customers. 2. Identify the business benefits of achieving a 360-degree view of customers. 3. Prepare a: 1. long-term strategy to meet your goal of achieving a 360-degree view of your customers.


2. short-term strategy to meet your goal of achieving a 360-degree view of your customers. 4. Determine at least three (3) technologies total that you will need to implement to achieve the goals of your: 1. long-term strategy. 2. short-term strategy. 5. Create at least one (1) diagram to highlight your solutions and technology architecture. 6. Identify and analyze the key strengths and weakness of the technologies you chose. 7. Propose and explain any processes you need to have for this effort. 8. Propose the organizational changes or support you will need to have for this effort. 9. Explain how you may leverage at least two (2) emerging technologies, such as RFID, Mobility, and Big Data for your effort. 10. Determine at least two (2) ethical issues that you would encounter in your effort and how you would address them. 11. Use at least five (5) 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. • 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. The specific course learning outcomes associated with this assignment are: • Describe the ethical issues in DSS data in organizational settings. • Analyze and critique emerging trends of management support systems. • Develop a decision support solution to solve a proposed business problem. • Write clearly and concisely about Decision Support and Business Intelligence topics using proper writing mechanics and technical style conventions.

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CIS 356 RANK Redefine the Possible / cis356rank.com  

This course capture the brand essence and positioning

CIS 356 RANK Redefine the Possible / cis356rank.com  

This course capture the brand essence and positioning

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