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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http://www.quirk.biz/resources/88/What-is-eMarketing-and-how-is-it-better-than-traditional-marketing http://en.wikipedia.org/wiki/Email_marketing http://www.exa.com.au/services/e-marketing.php http://www.mcafee.com/uk/resources/reports/rp-financial-fraud-int-banking.pdf http://www.investopedia.com/terms/m/marketing-fraud.asp#ixzz2Jp1lTV6c
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Credit Cards Fraud Nowadays‚ computer technology is growing bigger and bigger. This tremendous and powerful improvement has its good and bad connotations. Credit cards are one popular invention of the computer era. According to www.1stamericancardservice.com‚ a credit card is a plastic card bearing an account number assigned to a cardholder with a credit limit that can be used to purchase goods and services and to obtain cash disbursements on credit‚ for
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best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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Internet Banking and Commerce An open access Internet journal (http://www.arraydev.com/commerce/jibc/) Journal of Internet Banking and Commerce‚ December 2009‚ vol. 14‚ no.3 (http://www.arraydev.com/commerce/jibc/) The Role of IT/IS in Combating Fraud in the Payment Card Industry Jan Devos Lecturer at the Ghent University Association‚ Howest Kortrijk‚ Belgium Graaf Karel de Goedelaan 5‚ 8500 Kortrijk‚ Belgium Author ’s Personal/Organizational Website: www.pih.be/opleiding/elektronica/~jdv/index
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Association of Certified Fraud Examiners; conducts comprehensive fraud studies; Report to the Nation on Occupational Fraud & Abuse * Fraud - deception that includes: a representation‚ about a material point‚ which is false‚ and intentionally or recklessly so‚ which is believed‚ and acted upon by the victim to the victim’s damage. Fraud is an act of dishonesty with the intention to deceive or cover the truth to gain an advantage. Most critical element: confidence. Fraud can be classified as (in
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CHAPTER 1 INTRODUCTION 1.1 SYSTEM OVERVIEW The application that is to be developed will enable user to get exact result for their query. The query is related to a particular location and a destination in the location. The application ensures that the user gets only what is being looking for and no any misleading link and unnecessary results are generated. The application allows the user to open a new account with a unique name and pass word. Once account is being created the
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you an understanding of how data resources are managed in information systems by analyzing the managerial implications of basic concept and applications of database management. Introduce the concept of data resource management and stresses the advantages of the database management approach. It also stresses the role of database management system software and the database administration function. Finally‚ it outlines several major managerial considerations of data resource management.
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commit fraud? Erica Miller Southern Technical College Table of Content Abstract 3 Introduction 4 Definition of Terms 5 Methodology 5 Results 6 References 8 Abstract When people who hear about executives that commit fraud the thing that first comes to mind may be: “They must have really hated their job or company to do such a thing”. That may not always be the case. In some cases it is the CEO or even the founder of the company that committed the fraud. The
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