Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75
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Ensuring Data Storage Security in Cloud Computing Cong Wang‚ Qian Wang‚ and Kui Ren Department of ECE Illinois Institute of Technology Email: {cwang‚ qwang‚ kren}@ece.iit.edu Wenjing Lou Department of ECE Worcester Polytechnic Institute Email: wjlou@ece.wpi.edu Abstract—Cloud Computing has been envisioned as the nextgeneration architecture of IT Enterprise. In contrast to traditional solutions‚ where the IT services are under proper physical‚ logical and personnel controls‚ Cloud Computing
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2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a
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Research Design The study that was executed is constructed precisely by the group in order to pinpoint the aspects that may or may not influence knowledge sharing among university students. Therefore‚ when testing the connection between these five factors (leadership‚ explicit knowledge‚ opportunity to share‚ tacit knowledge‚ and trust) contributing to knowledge sharing‚ the hypothesis testing method was thoroughly chosen as the principal objective of the research. Added to that‚ for a more in depth
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METHODOLOGY Research Design The furtherance of the study employed descriptive and explanatory research methods. These research designs enabled the researcher to accomplish his objective in determining the significant effect of intrinsic and extrinsic job satisfaction to OCBI and OCBO. Participants The participants in this study were the full-time regular faculty members of the eight colleges of Holy Angel University. The said units have the following numbers of regular faculty members: College
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Analysis of Data The researcher distributed 150 questionnaires to people and students from different schools. After collecting the papers‚ each was tallied one by one. The questionnaire has a total of Seven(7) questions each with a different set and amount of answers. One hundred(100) questionnaires were distributed in person while the Fifty(50) were answered online. The results of the survey will be explained by percentage and shown through pie chart as well along with a slight conclusion for
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Encoding methods and Modulation schemes 25.P.1 Computers use digital signalling‚ digitals signals are represented by the base 2 numbering system “Binary”. Binary bits are shown as 1 or 0‚ where 1 means ON and 0 means OFF. In a network where digital devices exist‚ digital signalling will be used. Dependant upon the encoding method used‚ a high voltage on a communications medium can represent a logical 1 and a low voltage of can represent a logical 0. Different methods of encoding exist these
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INTRODUCTION The design of the research project specifies both the data that are needed and how they are to be obtained. The first step in the data-collection process is to look for secondary data. These are data that were developed for some purpose other than for helping to solve the problem at hand. The data that are still needed after that search is completed will have to be developed specifically for the research project and are known as primary data. The secondary data that are available
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Mixed Method Designs (Quantitative and Qualitative) Agenda: Definition and Purpose Characteristics Types of Mixed Method Designs Strengths and weaknesses of Mixed Method Research Steps in Conducting a Mixed Method Research Study Criteria for evaluating a Mixed Method Design Mixed Method Design A mixed methods research design is a procedure for collecting‚ analyzing‚ and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem. To utilize
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