Business Intelligence & Data Mining Assignment 3 – CELL2CELL Case 1. What are the Business Objective(s) and Data Mining Objective(s) for the case? Business Objectives To develop a proactive retention program (including incentive plans) to reduce the customer churn Data Mining Objectives 1. To predict churn accurately 2. To identify key factors that drive customer churn 2. Based on initial data understanding (Using multiplot/ statexplore node)‚ what are some initial obvious
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I select Amazon which is a famous e-business as my topic. In that paper‚ I introduced the history and the strategy of this company. And then I found an example to illustrate how Amazon collects the customers’ information. I mentioned the way of data mining and I explain how Amazon pays the most attention on customers. So in this paper‚ I will talk about the others I didn’t mention in midterm paper. And at the last in this paper‚ I will talk something about the Amazon in China. I think it will
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*Review of Related *Literature Foreign Over the years‚ more enhancements were made to the cash registers until the early 1970s‚ when the first computer-driven cash registers were introduced. The first computer-driven cash registers were basically a mainframe computer packaged as a store controller that could control certain registers. These point of sale systems were the first to commercially utilize client-server technology‚ peer-to-peer communications‚ Local Area Network (LAN) backups
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document and is used for demonstration purposes. There are in electronic format but can be printed out in hand-outs if needed. Memo – This is short note or reminder to someone else within the business. They can be printed out‚ although in most cases they are sent within email. Business Email – Email is now taken over from Faxes to being the fastest way for businesses to communicate with each other. Businesses use this because no matter what is said it is still seen as legally binding‚ like
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Project Plan For my multimodal project‚ I will illustrate the use of cultural appropriation in high fashion. For my project‚ I will give an oral presentation accompanied by a PowerPoint with photographs displaying instances of cultural appropriation in high fashion and traditional clothing of each culture. I am using PowerPoint because the topic of cultural appropriation in high fashion is best understood through visuals. During my presentation‚ I will highlight my argument that cultural appropriation
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researcher specify the constrains on the marketing research activity‚ identify the data needed for marketing actions‚ and determine how to collect the data. The third step is collecting relevant information which can be used to make a rational‚ informed marketing decision. Secondary data and primary data are considered in collecting relevant information. The fourth step is developing findings which involves analyzing the data carefully and presenting the findings that should be clear and understandable
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software BI as the best. Both SiSense and Birst have key features with Data collection‚ 3rd-party data integration‚ Data visualization‚ Customizable dashboards‚ Self-service‚ Mobile accessibility‚ Adhoc analytics and reports. The only major difference between two of these tools are SiSense has a key feature with SaaS hybrid platform and Birst has
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c. Which averaging period provides a better historical fit based on the MAD criterion? [pic] 2. Refer to the data provided in problem 1. Use a 3-period weighted moving average to forecast the population of the United States in 2003. Use Solver to determine the optimal weights based on minimizing the MAD criterion. [pic] 3. Refer to the data provided in problem 1. a. Use exponential smoothing with a smoothing constant of 0.5 to forecast the population of the
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Researchers who wish to conduct study in the field of data mining will benefit from this study. Students which are not sure of the course recommended by the National Career Assessment Exam will benefit from this study. It will provide a quick assessment to the students by just inputting the course recommended by the National Career Assessment Exam together with the student’s academic record during high school. The system will use the principles of data mining in order to forecast whether the course will
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popular or convenient places close to our physical location or even remotely check in to restaurants. These types of applications when accessed on a desktop system are bland and less of an experience. While there are some limitations to the scope of data that can be accessed and delivered to a mobile‚ equally there are a host of features‚ be it GPS or barcode scanning‚ which can open up new possibilities for how mobiles can deliver a fast‚ efficient and dynamic user experience. CPU performance tends
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