Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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Thorsten and Levine‚ Rass and Loayza‚ Norman (1999): “Finance and the Sources of Growth” Central Bank of Nigeria Statistical Bulletin Demetriades P and K Hussein (1996): “Does Financial Development Cause Economic Growth”‚ vol 51 pp 387-411 Demirgivc-Kunt‚ Asli and Maksimovic Voljislav (1996): Financial Constraint‚ Uses of Funds and Firm Growth. “An International Comparism”‚ World Bank Diamond Douglas W Elbadawi‚ Ibrahim A. (1992): “Macroeconomics Management and the Black Market for Foreign Exchange
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[Business Decision Making] | [Type the abstract of the document here. The abstract is typically a short summary of the contents of the document. Type the abstract of the document here. The abstract is typically a short summary of the contents of the document.] | Contents Task 1 1 Task 2 7 Task 3 10 Task 4 12 Task 5 18 Reference 20 Task 1 Background A lots of studies shows how IT system works as a enabler rather the just being used as a tool to implement in business Organizations
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ASSIGNMENT 1- BU1007 Question 1 (i) The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartment in a large city Electricity Charge ($) | 96 | 157 | 141 | 95 | 108 | 171 | 185 | 149 | 163 | 119 | 202 | 90 | 206 | 150 | 183 | 178 | 116 | 175 | 154 | 151 | 147 | 172 | 123 | 130 | 114 | 102 | 111 | 128 | 143 | 135 | 153 | 148 | 144 | 187 | 191 | 197 | 213 | 168 | 166 | 137 | 127 | 130 | 109 | 139 | 129 | 82 | 165
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Data Mining: A Tool for the Enhancement of Banking Sector Shipra Kalra; Rachika Gupta kalra.shipra87@gmail.com; guptarachika@yahoo.co.in Lecturer‚ Chanderprabhu Jain College of Higher Studies and School of Law‚ Sector A-8‚ Narela‚ Delhi-110040 Abstract Data mining is emerging as a very useful tool for providing valuable information from large databases and enabling managers and business executives to make hard core decisions in a much easier and effective manner. It is a process of analyzing the
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Abyil Ltd‚ a business strategy consultancy company. You are requested to submit a MIS report to the board of directors of your company. Your task is to prepare the necessary information for decision making using details provided below. Objectives: (Outcomes) 1. Use a variety of sources for the collection of data‚ both primary and secondary 2. Apply a range of techniques to analyse data effectively for business purposes 3. Produce information in appropriate formats for decision making in an organisational
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Measurement in Physical Education and Exercise Science‚ 17: 171–186‚ 2013 Copyright © Taylor & Francis Group‚ LLC ISSN: 1091-367X print / 1532-7841 online DOI: 10.1080/1091367X.2013.805137 Data Mining in Elite Sports: A Review and a Framework Bahadorreza Ofoghi Institute of Sport‚ Exercise‚ and Active Living‚ Victoria University Melbourne‚ Victoria‚ Australia Victorian Institute of Sport Albert Park‚ Victoria‚ Australia John Zeleznikow and Clare MacMahon Institute of Sport‚ Exercise
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Data Mining Project on IMDB website ABSTRACT The Internet Movie Database (IMDb) is an online database of information related to movies‚ television shows‚ stars‚ etc. We chose to do our project from 2008 to 2011 year’s movie database. We extracted data like Movie‚ Director‚ Star‚ Image Url‚ Studio from the IMDb website. For this extraction of data we used a tool named Mozenda. After the data extraction‚ the data was analyzed. For a particular star‚ his/her movie‚ director‚ studio with whom the
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Academy for Advance Learning Pune – Maharashtra - India BUISNESS DECITION MAKING Date of submissions 10.10.12 SUJIT KUMAR BEHERA Statement of Authenticity I certify that the work submitted in regard to this assignment is my own and wherever the works of others have been used to support my work‚ the credit has been duly acknowledged. Student Email : sujit.isms@gmail.com Date: 10.10.12 Business decision making [Type the document title] Extended Diploma in Strategic Management & Leadership
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Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This
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