insight into the usage of data warehousing and data mining techniques to enhance the productivity of the business. The study of the processes is analysed so as to get the need of adaptation according to inherent demands of these industries in near future. The main topics we are discussing here are: a) Data warehousing b) Data Mining c) ETL d) Data Mart An attempt has been made to analyse different ways of using these for the enhancement in the different field. Data warehousing and current
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discuss the degree to which the level od economic development in country affects planning and management in urban areas. The type of urban problems that require careful planning and management are largely decided by the economic wealth of a countryside. LEDC countries have problems with rapid urbanisation into the cities. However‚ on the other hand the problems that MEDC countries face include; suburbanisation‚ counter urbanisation. Urbanisation is the process in which people move to the city
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FIELD EXPERIMENTS IN ECONOMICS By: Ravisha Sodha INTRODUCTION: Field experiments occupy an important middle ground between laboratory experiments and naturally occurring field data. The underlying idea behind most field experiments is to make use of randomization in an environment that captures important characteristics of the real world. Distinct from traditional empirical economics‚ field experiments provide an advantage by permitting the researcher to create exogenous variation in the variables
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Impact of Demographic Trends to Indian Economy: An Excerpt INTRODUCTION India has made incredible progress with its economy ever since its independence‚ whereby after the economic tsunami in 2009‚ it has been frequently quoted as a likely contender of economic superpower even to the extent of overtaking China. This paper serves to understand the importance of demographic trends of India in shaping Indian economy‚ as well as the part that the unique caste system and religion have to play in the
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billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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towards 3rd world countries. By examining some of the actions‚ military and non military‚ one can see that‚ whenever it comes to its own economical interest‚ the U.S. will be involved directly or indirectly. To really understand foreign main policies objectives towards 3rd world countries‚ one has to narrow it down to two main objectives‚ sanctions that are designed to impact on the poor‚ and enslavement of most poor countries by economic debt. Military for the most part by the CIA‚ has the most key
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means to keep your information in your control. In other words‚ cannot gain access to it by anyone else without your permission. The most people want to preserve the privacy of sensitive their information such as passwords and credit card information and the inability of others to access. The goal of the process of protection is to reduce the number of threats that harm the network. In this essay I will high light many points which are: the goals essential to the security of web CIA model‚ the classified
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Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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REPORT ON USES OF DATA BASE IN DIFFERENT SECTORS BY MANAGERS SUBJECT- MANAGEMENT INFORMATION SYSTEM SUBMITTED TO: DR. RICHA MISRA SUBMITTED BY: SHUBHADIP BISWAS ROLL NO.-FT-10-948 SEC-A GDM 10-12 IILM-GSM DATE
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Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background
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