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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ABC of Knowledge Management Freely extracted from the NHS National Library for Health at http://www.library.nhs.uk/knowledgemanagement/ by Géraud Servin Creator: NHS National Library for Health: Knowledge Management Specialist Library Contributor: Caroline De Brún Publication Date: July 2005 Table of Contents 1 WHAT IS KNOWLEDGE MANAGEMENT?.................................................................................... 3 1.1 What is knowledge management?.........................
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concept Brandequityas a relational TimAmbler (in Received revisedform):22nd February‚1995 Tim Ambler is Grand Metropolitan Senior Research Fellow at the London Business School‚ where his prime focus for research and teaching is the management of international brands. Before taking up his appointment he was Joint Managing Director of lnternational Distillers and Vintners Ltd. He is also a consultant to the Grand Met‚ The Century Council in Los Angeles and smaller companies for strategy
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5 1.2 Aim of the research 5 1.3 Research Objective 6 1.4 Research Questions 6 1.5 Research Problem
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Bank of Japan Working Paper Series Banks’ Stockholdings and the Correlation between Bonds and Stocks : A Portfolio Theoretic Approach Yoshiyuki Fukuda* yoshiyuki.fukuda@boj.or.jp Kazutoshi Kan** kazutoshi.kan@boj.or.jp Yoshihiko Sugihara*** No.13-E-6 March 2013 Bank of Japan 2-1-1 Nihonbashi-Hongokucho‚ Chuo-ku‚ Tokyo 103-0021‚ Japan * ** *** International Department (ex-Financial System and Bank Examination Department) Financial System and Bank Examination Department Personnel
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Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable
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Drug Strategies Literature Review for Bridging the Gap Substance abuse today is a widespread problem for youth as a whole‚ and presents an especially important challenge for those involved in the juvenile justice system. To help inform research related to substance abuse treatment in the juvenile justice system‚ we conducted a 10-year literature review guided by the framework of the 9 key elements to effective adolescent substance abuse treatment identified by Drug Strategies in Treating
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Contents Introduction 1 1. Recent trends in house prices 3 2. The demand for and supply of housing 7 3. Cycles‚ expectations and bubbles 19 4. House building and planning 27 5. Affordability 37 Conclusion 47 Appendix: House price data sources 50 References 53 Introduction The market for housing is highly complex… London is a city of over three million dwellings. Its stock of housing is made up of a wide variety of different types – flats‚ houses‚ maisonettes‚ bungalows
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FSM - Finance & Strategic ManagementSCIENTIFIC PAPER“CSR as a Risk Management tool” Author(s) of paper: Helene Sierant & Thomas Sierant CPR no.: 010789 – 2338 & 121187- 2515 Date of Submission: December 5‚ 2012 | | Abstract Taking a shareholder perspective‚ the paper focuses on CSR as a method to reduce idiosyncratic risk. In analyzing this subject‚ the goal is to complement existing literature on CSR and CFP with the integrative use of risk management
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enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies‚ are not su cient characterizing the exact nature of dependencies between operations is essential. This paper presents a methodology for constructing the dynamic execution graph that characterizes the execution of an ordinary program (an application program written in an imperative language such as C or FORTRAN) from a serial execution trace of the program
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