Business intelligence applications to make pricing decisions

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Reference no: EM133337625

Application Case 1: Optimal Transport for ExxonMobil Downstream through a DSS

1. List three ways in which manual scheduling of ships could result in more operational costs as compared to the tool developed.

2. In what other ways can ExxonMobil leverage the decision support tool developed to expand and optimize their other business operations?

3. What are some strategic decisions that could be made by decision makers using the tool developed?

Application Case 2: Ingram Micro Uses Business Intelligence Applications to Make Pricing Decisions

1. What were the main challenges faced by Ingram Micro in developing a BIC?

2. List all the business intelligence solutions developed by Ingram to optimize the prices of their products and to profile their customers.

3. What benefits did Ingram receive after using the newly developed BI applications?

Application Case 3: American Airlines Uses Should-Cost Modeling to Assess the Uncertainty of Bids for Shipment Routes

1. Besides reducing the risk of overpaying or underpaying suppliers, what are some other benefits AA would derive from its "should-be" model?

2. Can you think of other domains besides air transportation where such a model could be used?

3. Discuss other possible methods with which AA could have solved its bid overpayment and underpayment problem.

Reference no: EM133337625

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