Global tourism is a multi-billion dollar industry, with thousands of competitors. Some of these organizations use data analytics to create opportunities for millions of tourist to visit their properties, buy their products, and use their services. One of these companies that compete on data analytics is Harrah’s Hotels and Casinos (simply known as Harrah’s).
Harrah’s business continues to grow while their competitors are falling behind. Experts feel it is Harrah’s use of data analytics that gives the company an advantage over the competition. Harrah’s uses data analytics in all facets of their operations, from customer guest services to dining, gaming, restaurant, and promotions.
In the article that you read this week, you learned that Harrah’s has a loyalty program that offers gifts and rewards to loyal customers. Harrah’s segments their guests within their loyalty programs, so that customer’s loyalty levels are based on the amount of money that they spend at the casinos. Therefore, the more money a customer spends at the casino, the higher “level” they reach in the loyalty program, and the more expensive the gifts are that they receive. Their loyalty program is one way that Harrah’s maintains customers through data analytics.Harrah’s captures a great deal of data about their customer’s behaviors through their loyalty cards and programs. Each customer is assigned a “rewards card” that can be used to record the amount of money a person is spending, and to allow customers to redeem gifts and promotions the casino offers. These cards are often inserted into slot machines (or handed to a pit boss at a gambling table) to measure the amount of money and time spent at an activity.
You have been contracted as an analytics consultant for Harrah’s. Harrah’s stakeholders have expressed interest in the increasing their customer retention. The company wants to better understand the relationship between customer loyalty and guest retention.
Create a recommendation addressing Harrah’s interests that includes answers to the following:
Research data models and data modeling software:
Yuntong
Part 1 – Project Initiation |
Max. | Mark | |
Compare actions to best practices.
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5 | 5 | · You have identified many of the best practices identified in Schwalbe and compared these to the events of the ResNet case study.
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What would you have done differently?
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5 | 3 | · You have provided a high quality suggestion as to what could have been done differently.
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Part 2 – Project Planning |
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Provide a comparison of the WBS with project scope management.
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5 | 1 | · You mention the WBS but do not discuss scope management. |
Provide 5 suggestions for improving the WBS.
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5 | 2 | · You have provided 5 suggestions to improve the project but not the WBS. |
Quality of the 5 suggestions.
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5 | 4 | · You have suggested high quality improvements based on solid analytics. You have also provided some information about the expected outcomes (the so what), should your suggestions be implemented. |
Other Outcomes |
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Computer communication skills Paper quality – spelling / grammar / graduate level content / structure | 5 | 4 | · Partially transparent introduction and excellent summary conclusion. |
Total | 30 | 19 |
· Good effort and result.
· I am sure you are disappointed in this result. Should you wish to resubmit this paper for partial additional marks, please do so before the end of the course.
· I am sure you are disappointed in this result. Should you wish to resubmit this paper for partial additional marks, please do so before the end of the course.
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