"Project of corporate fraud of satyam with data analysis" Essays and Research Papers

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    KPMG Fraud Case

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    KPMG United States- Oct. 17‚ 2015 1. Issuer O: “The Firm identified a fraud risk related to revenue. The Firm’s testing of controls over revenue and accounts receivable‚ however‚ was insufficient. Specifically: With respect to one of the issuer’s segments‚ which consisted of three business units‚ the Firm failed to identify and test any controls over revenue and accounts receivable for two of the business units‚ which‚ in combination‚ represented a significant portion of the issuer’s total revenue

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    shareholders lose their investments‚ and societies lose key parts of their economic infrastructure‚ have you noticed that it often appears that the senior directors involved walk away with a clear conscience and they seem to be unaffected by the corporate collapses they have created. They present themselves as glibly unbothered by the chaos around them‚ unconcerned about those who have lost their jobs‚ savings and investments‚ and lacking any regrets about what they have done. Some of these individuals

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    data mining

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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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    Data Security

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    Master Thesis Electrical Engineering November 2011 Security Techniques for Protecting Data in Cloud Computing Venkata Sravan Kumar Maddineni Shivashanker Ragi School of Computing Blekinge Institute of Technology SE - 371 79 Karlskrona Sweden i This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering. The thesis is equivalent to 40 weeks of full time studies.

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    are 50 credit customers who were selected for the data collection on five variables such as location‚ income‚ size‚ years‚ and credit balance. In order to understand more about their customer‚ AJ DAVIS must use graphical‚ numerical summary to be able to interpret and better expand their business in the future. B. Discuss your 1st individual variable‚ using graphical‚ numerical summary and interpretation A histogram shows the distribution of data within the Income. In this Histogram graph of Income

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    Data Warehouse

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    Data Warehouse Concepts and Design Contents Data Warehouse Concepts and Design 1 Abstract 2 Abbreviations 2 Keywords 3 Introduction 3 Jarir Bookstore – Applying the Kimball Method 3 Summary from the available literature and Follow a Proven Methodology: Lifecycle Steps and Tracks 4 Issues and Process involved in Implementation of DW/BI system 5 Data Model Design 6 Star Schema Model 7 Fact Table 10 Dimension Table: 11 Design Feature: 12 Identifying the fields from facts/dimensions: MS: 12 Advanced

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    Ruther-Fraud B. Hayes

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    history as "Ruther-Fraud B. Hayes." Pros-He signed a law which made it easier for Chinese Immigrants to come into the country (this was repealed with the Exclusion Act). He tied the value of the dollar to gold instead of silver. He supported Reconstruction (After the Civil War). Cons-Great Railroad Strike greatly affected his presidency. Dealt with Conflicts with Native American Tribes. Election Results are disputed There is much more to him. If you are doing a project

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    data modeling

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    Introduction to Data Modeling and MSAccess CONTENT 1 2 3 4 5 6 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling

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    Looking back at my Computer Analysis Project about my food intake‚ I found two major problems in my diet. The first problem is that I have high cholesterol. My intake of cholesterol is high. The DRI is < 300 mg and my intake is 357 mg. The percentage for my cholesterol is 118.9%. I didn’t expect that my cholesterol will be this high. Having high cholesterol can cause major health problems. It can cause you to have heart problems. There can be a blockage in the arteries. It is when the cholesterol

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    Design and Data

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    There are many key differences that are important to understand between data oriented and process oriented approaches to designing a new system. The system focus of the data views and process views are entirely different. The process view focuses on what the systems supposed to do and when‚ while the data view has a focus on what the system needs to operate. Another noteworthy difference that distinguishes the two views is the design stability. The design stability of a process view is a more limited

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