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    data protection

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    ict policy Data Protection ICT/DPP/2010/10/01   1. Policy Statement 1.1. Epping Forest District Council is fully committed to compliance with the requirements of the Data Protection Act 1998 which came into force on the 1st March 2000. 1.2. The council will therefore follow procedures that aim to ensure that all employees‚ elected members‚ contractors‚ agents‚ consultants‚ partners or other servants of the council who have access to any personal data held by or on behalf of the

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    Data security

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    Data Security and Regulations SRK Abstract This paper discusses data security‚ its importance and implementation. The way threats are posed to information of organizations is also discussed. There are plenty of leakage preventive solutions available in the market. Few of them are listed in the paper. There is a list of regulations governing data security in financial and healthcare sector at the end. Data Security and Regulations As we are advancing into information age‚ more

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    Data Mining

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    Data Mining And Statistical Approaches In Identifying Contrasting Trends In Reactome And Biocarta By Sumayya Iqbal SP09-BSB-036 Zainab Khan SP09-BSB-045 BS Thesis (Feb 2009-Jan 2013) COMSATS Institute of Information Technology Islamabad- Pakistan January‚ 2013 COMSATS Institute of Information Technology Data Mining And Statistical Approaches In Identifying Contrasting Trends In Reactome And Biocarta A Thesis Presented to COMSATS Institute of Information Technology‚ Islamabad In

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    Data Mining

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    is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;

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    Wal-Mart Case Study

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    had tripled to $11‚709 billion. The strength of Wal-Mart is shown in their financial ratios. Compared with an average operating profit margin of 5.1 percent in the prior three-year period‚ Wal-Mart has averaged 6.0 percent in the past three years. They are consistent in providing shareholder equity‚ measuring 22 percent in 2007 which is close to their 10-year average. International revenue has been a constant source of sales growth for Wal-Mart‚ outpacing the revenue contribution from the Sam’s Club

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    DATA CLUSTERING

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    WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining

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    Wal-Mart Update Summary

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    Wal-Mart reigned as the world’s largest company as it boosted net sales nearly $420 billion in the early of 2011. It managed more than 8400 stores in 14 countris and also employed 2 million people around the world. Wal-Mart had ventured into e-commerce‚ online classified services‚ auto and tire maintenance‚ vacation planning and financial services in order to add some offering. In order to search of new growth opportunity‚ it tried pursuing different strategies. But it went down and Wal-Mart refocus

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    Wal-Mart Case Analysis

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    Wal-Mart Stores‚ Inc.‚ 2009 – A Case Analysis MBA 712-01 - Strategic Management Introduction Wal-Mart Stores ended its 2009 fiscal year with nearly $266 billion in sales at its Wal-Mart Stores‚ $47 billion at Sam’s Club‚ and $99 billion in its international locations. This represented an increase a substantial portion of market share that presented a challenge for competitors. Yet Wal-Mart at the same time was challenged to move forward with intense competition from its rivals‚ Target and

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    Payroll Data

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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

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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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