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Mis Amazon Case

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1. In each of the examples cited above, what drove the need to collect and analyze data?

Organization | Drivers for Data Collection and Analysis | Amazon.com | * Change in customers tastes * Fulfillment center’s inventory needs * Customer demographics * Marketing for customers * Innovation * Gaining customers loyalty * S3 data | Wal-Mart | * Future plans * Customer tastes * Customer demographics * Supply chain efficiency * Inventory | Brose | * Sales * Organization in operating * Inventory * Accurate forecasting * Resources for production | Partners Healthcare | * Optimization of treatments * Cost-effective medication * Customer demographics * Patient personalization engine | Facebook | * Design modification * Advertisement * Development * Data consultation * Big data production |

2. What are the benefits and what are the risks in any “big data” undertaking?

Benefits of Big Data Applications | Risks in Employing Big Data Applications | Predictive analysis | Relies a lot on technology | Data consultation | Transparency issues | Diversification | Privacy issues | Market development | Ethical issues | Product development | Stealing of data | Less costs | Property rights issues | Less human error | Correct usage of big data, it wont be as affective if used in a wrong way |

3. What tools and skills are required to affect the positive leveraging of data within the enterprise? * tools: * Procurement function * Vast body of data about customers * Information system base of data for most operations * Data about everything done from websites * Data from Fulfillment centers * Opening up the supply chain management system * add more lines as needed…. * skills: * Data Management *

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