Questions that you need to work on:

1. What information is provided by the descriptive analytics employed at your organization?

2. What were the business challenges or opportunities that organization was facing? What were the main business challenges?

3. Describe the complexity and the competitive nature of the business environment in which your organization functions.

4. What type of support is provided by the predictive analytics employed at your organization?

5. How does prescriptive analytics help in business decision making?

6. In what ways can actionable information be reported in real time to concerned users of the system?

7. In what other situations might real-time monitoring applications be needed?

8. What is traditional reporting? How is it used in the organization?

9. How can analytics be used to transform the traditional reporting?

10. How can interactive reporting assist organizations in decision making?

11. Who are the users of the analytics tools?

12. What kind of dashboards they have?

13. How does visualization help in decision making?

14. What are the significant results achieved by the use of specialized BI apps, software?

15. What are the desired functionalities of a reporting tool?

16. What advantages were derived by using a reporting tool in your company?

17. How is predictive analytics applied in your organization?

18. How do visualizations aid in understanding the data and delivering insights into the data?

19. What is a classification problem in your organization?

20. What can be derived by performing sequence analysis?

21. How can analytical techniques help organizations to retain competitive advantage?

22. How can descriptive and predictive analytics help in pursuing prescriptive analytics?

23. What kind of prescriptive analytic techniques are employed in the case study?

24. Are the prescriptive models once built good forever?

25. Is your organization using Big Data analytics?

26. Why did your organization need an enterprise-wide data warehouse?

27. How did integrated data drive the business value?

28. With integrated data available in an enterprise data warehouse, what other applications could your organization potentially develop?

29. What are some of the key questions to be asked in supporting decision making through DSS?

30. What lessons should be kept in mind for successful model implementation?First: You have to start defining the type of problems that your DSS should support in the organization. Everything has to be contextualized
You need to describe the components of Decision Support System in your organization (Figure 1). At the end you need define how these components will be part of the DSS/BI system in your organization

Second: you need to connect data with the user's needs/problems to solve. You need to observe the type of data required and how this data will be used (Figures 2 and 3)

Third: what kind of models can you use for supporting the solution of the problems in your organization?

Fourth: How data, models, knowledge can be integrated in your DSS/Expert System

1. Why is it important for your organization to have an EDW?
2. What was the process your organization followed to realize EDW? Comment on the potential challenges your organization might have had going through the process of EDW development.
3. What were the benefits of implementing an EDW at your organization? Can you think of other potential benefits that were not listed in the case?
4. What was the solution? Implementation?
5. How can your organization improve customer satisfaction with scorecards?
6. What are the sources of data that your organization use for their data mining projects?

Fifth: Adjust your solution to the problem. Describe the details and present the rational for the definitions of your solution. Figures 6 and 7 help you to connect the dots

1. What does it mean to have a "single view of the customer"? How can it be accomplished in your organization?
2. How can your company improve customer service with data mining?
3. What were the challenges, the proposed solution, and the obtained results?
4. What was their implementation strategy? Why is it important to produce results as early as possible in data mining studies?
5. What were the challenges, the proposed solution, and the obtained results?
6. Why is it important to study new developments/processes? What is the value in predicting outcomes?
7. What factors do you think are the most important in better understanding and managing your organization?
8. What would be the impact of predictive modeling on your industry? Can predictive modeling replace personnel?
9. What were the outcomes of the study, if your organization has had one? Who can use these results? How can they be implemented?

1. What type of systems do they use?
- Interpretation systems
- Prediction systems
- Diagnostic systems
- Repair systems
- Design systems
- Planning systems
- Monitoring systems
- Debugging systems
- Instruction systems
- Control systems

https://www.dropbox.com/s/8gyf8yy9syg81mi/Project.zip?dl=0