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    inputs‚ processing‚ and outputs of UPS’s package tracking system? Inputs: The inputs include package information‚ customer signature‚ pickup‚ delivery‚ time-card data‚ current location (while en route)‚ and billing and customer clearance documentation. Processing: The data are transmitted to a central computer and stored for retrieval. Data are also reorganized so that they can be tracked by customer account‚ date‚ driver‚ and other criteria such as the consolidation of orders for efficient final

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    MapReduce is a widely used parallel computing framework for large scale data processing. The two major performance metrics in MapReduce are job execution time and cluster throughput. They can be seriously impacted by straggler machines— machines on which tasks take an unusually long time to finish. Speculative execution is a common approach for dealing with the straggler problem by simply backing up those slow running tasks on alternative machines. Multiple speculative execution strategies have been

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    Institute DHA INTRODUCTION Ethics are norms or standards of behavior that guide moral choices about our behavior and our relationships with others.  The goal is to ensure that no one is harmed or suffers adverse consequences from  INTRODUCTION Begin data collection by explaining to the respondent the benefits expected from the research.  Explain to the respondents that their rights and well-being will be adequately protected‚ and say how this will be done.  Be certain that interviewers obtain the

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    3.2.3 Feature Extraction

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    (PCA) is that it reduces the dimension of a data set of high dimension and complexity to a data set of less complexity and dimension Principal Component Analysis (PCA) is an efficient method of locating patterns in data set‚ and transforming the data in such a way that will show the difference and variance within the data set (Shlens‚ 2003). The main advantages of principal component analysis in face recognition is that: it eliminates the redundancy of data given the orthogonal components‚ it reduces

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    Data analysis and data interpretation are closely related‚ but have different meanings. Lets first define the meaning of the word data. Data is defined as factual information that can be used as a basis for reasoning‚ discussion‚ or calculation. There are several different types of data. It can also be defined as information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful. Now that data has been defined

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    enterprise wide data Warehouse? Nationwide insurance company is one of the largest financial service company‚ with $23 billion in revenue and more than $160 billion in statutory assets. So in this large business nationwide insurance company experienced a various data issues‚ like data in-consistence‚ data reputation‚ dissimilar data processing‚ this will shows on business decisions and strategy on market. To resolving the issues Nationwide insurance started using Enterprise data warehouse technology

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    used to support content-based retrieval. There are numerous limitations of this approach. First‚ the approach is not scalable since each object needs to be manually annotated with keywords and/or textual descriptions making it impractical for large data sets. Second‚ due to the subjectivity of the human annotator‚ the annotations may not be consistent which negatively affects retrieval effectiveness. Furthermore‚ it may be infeasible to describe visual content (e.g.‚ shape of an object) using simply

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    promotions data‚ integrated with real-time data from social media and weather forecasts‚ to predict daily demand by store and optimize assortments and promotions in order to maximize sales and profitability. Tesco systematically integrates analytics and consumer insights to build a sustainable competitive advantage. By analyzing data from its Club card loyalty program (which comprises more

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    Idecision

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    For more information on iDecisionTM‚ please contact: Sanjib Ghosh | sajib.gosh@techmahindra.com Ramesh Kumar Koona | rameshkumar_koona@mahindrasatyam.com About Tech Mahindra: Tech Mahindra is a global systems integrator and business transformation consulting firm focused on the communications industry. Tech Mahindra helps companies innovate and transform by leveraging its unique insights‚ differentiated services and flexible partnering models. This has helped customers reduce operating costs‚

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    four types of analytics

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    &CMO 1 Session Agenda Why business analytics? Review the different types of analytics & common misconceptions Review the delivery methods for the operational users Propose holistic approach to expand enterprise analytics Value of integration and data quality to analytics Discussion 2 Analytic Quiz What do beer and business analytics have in common? In 1900 W.S. Gossett‚ an analyst at Guinness invented a distribution to analyze production processes and employment problems. Guinness decided to

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