You Can Do With Data/The Information Architecture of an Organization What is the difference between data and information? Give examples. Data = discrete‚ unorganized‚ raw facts Quantity Sold‚ Course Enrollment‚ Customer Name‚ Discount‚ Star Rating. Information = transformation of those facts into meaning. Financial data (deposits)‚ daily loans. What is a transaction? Action performed in a database management system What are the characteristics of an operational data store? Stores
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2011 10th International Conference on Mobile Business A Model to Identify the Dimensions of Mobile Service Quality Christos K. Georgiadis Emmanouil Stiakakis Department of Applied Informatics University of Macedonia Thessaloniki‚ Greece stiakakis@uom.gr Department of Applied Informatics University of Macedonia Thessaloniki‚ Greece geor@uom.gr Abstract—The aim of this paper is to identify the dimensions of mobile service (m-service) quality. Based on the literature review and
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into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand
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Be Data Literate – Know What to Know by Peter F. Drucker Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data. Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what
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Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) ........................... 3 1.2 Quantitative Data............................................................................................... 4 DESCRIPTIVE STATISTICS.................................................6 2.1 Sample Data versus Population Data ................................................................... 6 2.2 Parameters and Statistics
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Turnage‚ Bonebright‚ Buhman‚ Flowers (1996) showed that untrained participants can listen to shapes. That is‚ they used data sonification – musical representation of two dimensional space‚ with pitch as the vertical dimension and time as the horizontal dimension – to present participants the visual and auditory representation of waveforms. In two conditions‚ they showed the participants could match one visual presentation to one of two auditory representations‚ or match one auditory presentation
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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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International Journal of Marketing Studies; Vol. 4‚ No. 6; 2012 ISSN 1918-719X E-ISSN 1918-7203 Published by Canadian Center of Science and Education Customer Satisfaction in the Mobile Telecom Industry in Bahrain: Antecedents and Consequences Mohammed M. Almossawi1 1 Department of Management & Marketing‚ College of Business Administration‚ University of Bahrain‚ Sakheer‚ Kingdom of Bahrain Correspondence: Mohammed Almossawi‚ College of Business Administration‚ Department of Management & Marketing
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Mobile A Boon Or CURSE.... From the invention of fire to the world of digital‚man has forced his scientific advance. In this fast moving genaration computers are considered to be the greatest gift of science. Cell phones are modified forms of computers which are utilized mainly for communication that have rapidly spread through out the world in less than 20 years. Even calculation of numerical values ‚storing of data and retrieval of data are possible in cell phones. According to the survey nearly
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Interpreting your data is a process that involves answering a series of questions about the research. We suggest the following steps: 1) Review and interpret the data "in-house" to develop preliminary findings‚ conclusions‚ and recommendations. 2) Review the data and your interpretation of it with an advisory group or technical committee. This group should involve local‚ regional‚ and state resource people who are familiar with monitoring and with your product. They can verify‚ add to‚ or
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