The impacts of implementing a data warehouse in the banking industry Data warehousing in the financial sector Introduction In the modern banking and financial sector‚ there is keener and stronger competition and many enterprises are much more eager to get immediate and accurate information to make better and faster decisions. Furthermore‚ with many banks fighting to capture new customers and the rapidly growing need for larger amounts and more specific information‚ traditional databases are incapable
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end-user data and metadata (Coronel‚ Morris‚ & Rob‚ pg. 7). Data are the raw format of information‚ which when properly formatted can produce accurate‚ relevant‚ and timely information that is the key to making good decisions (Coronel‚ Morris‚ & Rob‚ pg. 5-6). The purpose of a database is to provide computer-based systems a way in which to store‚ manage‚ and retrieve data quickly (Coronel‚ Morris‚ & Rob‚ pg. 5). As for a local college database‚ the purpose of the database will be to house the data of enrolled
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Econometric Analysis of Panel Data Badi H. Baltagi Badi H. Baltagi earned his PhD in Economics at the University of Pennsylvania in 1979. He joined the faculty at Texas A&M University in 1988‚ having served previously on the faculty at the University of Houston. He is the author of Econometric Analysis of Panel Data and Econometrics‚ and editor of A Companion to Theoretical Econometrics; Recent Developments in the Econometrics of Panel Data‚ Volumes I and II; Nonstationary Panels‚ Panel Cointegration
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The Data Protection Act 1998 (DPA) is a United Kingdom Act of Parliament which defines UK law on the processing of data on identifiable living people. It is the main piece of legislation that governs the protection of personal data in the UK. Although the Act itself does not mention privacy‚ it was enacted to bring UK law into line with the EU data protection directive of 1995 which required Member States to protect people’s fundamental rights and freedoms and in particular their right to privacy
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Free Data Flow Diagrams Tutorial DFD Tutorial Data Flow Diagrams - Introduction Data flow diagrams can be used to provide a clear representation of any business function. The technique starts with an overall picture of the business and continues by analyzing each of the functional areas of interest. This analysis can be carried out to precisely the level of detail required. The technique exploits a method called top-down expansion to conduct the analysis in a targeted way. [pic] The
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Enterprise Data Management Transformation Santhakumar Rajendran‚ Senior Information Management Consultant Introduction Large scale Enterprise Data Management (EDM) transformation initiatives demand significant changes in the organizational structure and policies. Fundamental changes in the organizational culture and employees’ perception of ‘data’ are vital for the success of the transformation effort. This paper sheds light on the key components of enterprise data strategy
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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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BUILDING A BUSINESS MODEL ON DATA WAREHOUSING FOUNDATIONS: Executive Summary mySupermarket is a grocery shopping and comparison website which aims to provide customers with the best price for their shopping. This report examines how data warehousing provided mySupermarket with the foundation in which to build a successful enterprise‚ and allowed a subsequent expansion into the ‘business intelligence’ sector. The research draws attention to the problems and limitations that mySupermarket
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Sublayers of the data link layer The data link layer has two sublayers: logical link control (LLC) and media access control (MAC). Logical link control sublayer The uppermost sublayer‚ LLC‚ multiplexes protocols running atop the data link layer‚ and optionally provides flow control‚ acknowledgment‚ and error notification. The LLC provides addressing and control of the data link. It specifies which mechanisms are to be used for addressing stations over the transmission medium and for
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Factors to Cleansing Data Abstract: This article briefly recaps the value of quality data in the supply chain and the challenges with today’s automated mass sharing of information with internal and external customers. This article addresses how we all got here and what we can do about it. There are four critical success factors of 1) Scope‚ 2) Team‚ 3) Process and 4) Technology and this article will give you the stepping stones to be successful in cleaning your critical data. Executive Summary
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