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    Open-Data

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    UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................

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    Data Quality

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    PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material

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    Data Analys

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    of variables Qualitative Quantitative • Reliability and Validity • Hypothesis Testing • Type I and Type II Errors • Significance Level • SPSS • Data Analysis Data Analysis Using SPSS Dr. Nelson Michael J. 2 Variable • A characteristic of an individual or object that can be measured • Types: Qualitative and Quantitative Data Analysis Using SPSS Dr. Nelson Michael J. 3 Types of Variables • Qualitative variables: Variables which differ in kind rather than degree • Measured

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    Big data

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    Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions

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    big data

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    Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also

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    Customer Loyalty

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    1. Relevant literature The literature pertaining to relationships among customer satisfaction‚ customer loyalty‚ and profitability can be divided into two groups. The first‚ service management literature‚ proposes that customer satisfaction influences customer loyalty‚ which in turn affects profitability. Proponents of this theory include researchers such as Anderson and Fornell (1994); Gummesson (1993); Heskett et al.(1990); Heskett et al. (1994); Reicheld and Sasser (1990); Rust‚ et al. (1995);

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    Data Communications

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    and cross talk on a cabling medium are factors that prevent the accuracy of transmitted data to be intact. For these reasons different encoding methods exist. An example is when 2 wires are used to transmit music data to a speaker Digital signals don’t always have to be carried over to the receiving end by electricity‚ light can also be used for digital communication. Fibre Optics use light to transmit data through optical fibre within the cable. The strength of the light ray can also be a determining

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    Distinguish between primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by  Identifying population of interest  choosing sample  analyse sample information  draw inference from

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    Guillermos Furniture Store

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    calculated which includes the expected net income before taxes. Looking at the figures one can say that using computer controlled lathe to manufacturer is the best option. But this option requires a major investment that... Guillermo Furniture Store Analysis

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    Kimbel's Department Store

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    SPPRIMAN Kimbel’s Department Store Problem Statement Frances Patterson‚ Kimbel’s CEO a regional chain of upscale department stores based in St. Louis. Kimbel faces the same challenges faced by most deopartment stores these days‚ how to stop loosing share of overall retail sales from competing discount stores. Frances was dismayed that it is rare to find a salesperson actively enganged with a customer and even rarer to find them engaged when the customer is willing to buy. Frances experimented

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