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 warehouse is created from the union of organizational data marts. Data Mart Details Data marts are the "corner stores" of the enterprise‚ and each unique knowledge worker community has its own mart maintained by the
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this scope statement is to solicit Statements of Work from eligible vendors to provide a project team that will be responsible for designing‚ developing‚ testing‚ and implementing‚ in concert with the NC Community Colleges System Office‚ a data warehouse system to meet the needs as defined in this document. Table of Contents 1. INTRODUCTION ........................................................................................................ 1 1.1 THE WORKING MISSION ................
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these databases are organized and collected in ways to help an organization retrieve the needed data with ease. Data warehouse‚ data mart‚ three-tier architecture and active service pages (ASP) are data concepts that are used for data organization in a database. A data warehouse stores all the meaningful information that a business accumulates. The information in a data warehouse must not only make data available to organizations‚ but accessing the information must also be efficient. Data warehousing
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A help desk is a resource that a majority of companies use today. Help desks are designed to provide users with information and assistance for technical support of hardware or software. Many help desks involve a support person working to assist customers to solve a problem directly or forward the problem to someone else. Often‚ services are provided by call centers or over the Internet. This paper will review three help desk software packages: Aegis Service Desk‚ which is local software‚ CRMdesk
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NILESH ZABAK‚ BIRLA COLLEGE Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals. Paulraj Ponniah Copyright © 2001 John Wiley & Sons‚ Inc. ISBNs: 0-471-41254-6 (Hardback); 0-471-22162-7 (Electronic) DATA WAREHOUSING FUNDAMENTALS DATA WAREHOUSING FUNDAMENTALS A Comprehensive Guide for IT Professionals PAULRAJ PONNIAH A Wiley-Interscience Publication JOHN WILEY & SONS‚ INC. New York / Chichester / Weinheim / Brisbane / Singapore / Toronto MSc (IT) Notes
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Osman Harac 300624875 Boston Automation Systems‚ Inc. 1. What is (are) Boston’s current revenue recognition policy (ies)? As of 1999 annual report‚ the company recognizes the revenue upon shipment. But this will change with SAB 101. The company will wait until the delivery and customer acceptance to recognize the revenue In addition to that they also calculate the estimated warranty costs. The company recognizes the service revenues as the services are provided (not before the services
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Case Study: Continental Airlines Takes Off with Real-time Business Intelligence Continental’s Teradata active data warehouse provides a powerful platform for quickly developing and deploying applications in revenue management‚ customer relationship management‚ flight and ground operations‚ fraud detection‚ security‚ and others‚ and the applications are generating quantifiable benefits for Continental. Real-time data denotes information that is delivered immediately after collection. There is
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distributed and parallel databases. 5. Hands on any one good warehousing tool (Oracle/SQL server Analysis tool etc.) 6. A full fledged mini project in which a student will design and implement a data warehouse. The data warehouse must be populated and OLAP queries and operations to be demonstrated for the warehouse.
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cost effective • Continental employs many real-time feeds of data into the data warehouse‚ and many examples of real- time‚ on-demand (prewritten and ad hoc) reporting routines and querying tools (e.g.‚ Teradata QueryMan‚ and Hyperion Brio) • So far‚ Continental has limited instances of direct links from analytics against the data warehouse back to operational systems (e.g.‚ results from analytics on the data warehouse affecting the interactions with customers on the Continental on- line sites);
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Caesars—Gambling Big on Technology This case illustrates how database technologies can support an organization’s business strategy. The large investment made by Caesars Entertainment Corporation‚ formerly Harrah’s‚ in its information technology strategy has been tremendously successful. The results of Caesars investment at the time include: * 10 percent annual increase in customer visits. * 33 percent increase in gross market revenue. * Yearly profits of over US$208 million. * Highest
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