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Decision Support and Data Warehouse Systems

Decision Support and Data Warehouse Systems
Author: Efrem Mallach
Publisher: McGraw-Hill/Irwin
Total Pages: 692
Release: 2000
Genre: Business & Economics
ISBN:

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Ties the traditional view of decision support to the rapidly evolving topics of database management and data warehouse. This book aims to provide a foundation for the use of models within the context of building and using decision support systems, and focuses on multi-dimensional databases and client/server computing.


Decision Support Systems and Data Warehouses

Decision Support Systems and Data Warehouses
Author: B. Ravindranath
Publisher: New Age International
Total Pages: 216
Release: 2003
Genre: Data warehousing
ISBN: 9788122414547

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This Book Provides A Systematic Introduction To The Principles Of Decision Support Systems And Data Warehouses.It Covers The Entire Range Of Tools, From Decision Trees To Expert Systems Which Are Now Available For Managerial Decision Making Under Stress And Severe Time Constraints. The Chapters On Data Warehousing And Knowledge Retrieval Cover The Recent Trends In Developing Customer Profiles And Other Useful Information From The Data Available In Enterprises. The Last Chapter, Computer Networks, Provides The Required Information To Managers And Executives For Getting Familiar With The Delivery System Which Has Become Indispensable For Computer Based Information Systems.This Book Will Be Useful To Undergraduate Students Of Computer Science & Information Technology. Managers And Executives Will Also Find This Book A Useful Reference Source.


Bridging the Socio-technical Gap in Decision Support Systems

Bridging the Socio-technical Gap in Decision Support Systems
Author: Ana Respício
Publisher: IOS Press
Total Pages: 616
Release: 2010
Genre: Computers
ISBN: 1607505762

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Presents the advances in decision support theory and practice with a focus on bridging the socio-technical gap. This book covers a wide range of topics including: Understanding DM, Design of DSS, Web 2.0 Systems in Decision Support, Business Intelligence and Data Warehousing, Applications of Multi-Criteria Decision Analysis, and more.


Decision Support in the Data Warehouse

Decision Support in the Data Warehouse
Author: Paul Gray
Publisher: Pearson
Total Pages: 424
Release: 1998
Genre: Business & Economics
ISBN:

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Most data warehousing books provide little information about the applications or tools that deliver the business value that the data warehouse provides. The title includes a comprehensive survey of tools and technologies available today. This book explores decision support in a data warehousing environment. Focus is on building front-end decision support systems.


Decision Support Systems for Business Intelligence

Decision Support Systems for Business Intelligence
Author: Vicki L. Sauter
Publisher: John Wiley & Sons
Total Pages: 482
Release: 2014-08-21
Genre: Business & Economics
ISBN: 1118627237

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Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.


Microsoft? Data Warehousing

Microsoft? Data Warehousing
Author: Robert S. Craig
Publisher: Wiley
Total Pages: 0
Release: 1999-04-05
Genre: Computers
ISBN: 9780471327615

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Microsoft(r) Data Warehousing, Building Distributed Decision Support Systems, Robert S. Craig Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, Robert S. Craig, Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, SQL Server 7.0's exciting new features and components make it the data warehousing tool par excellence. In Microsoft Data Warehousing, experts Robert Craig, Joseph Vivona, and David Bercovitch show database administrators and developers how to use Microsoft's new generation of powerful DSS technologies to create dynamic, highly scalable data marts and warehouses tailored to their companies' current and future decision support requirements. In the first part of the book, the authors provide a detailed description of the data warehouse process based on the five environments that make up an integrated DSS. In Part II, they acquaint you with SQL Server 7.0 components and related Microsoft tools and then show you, step-by-step, how to best utilize them to design, develop, implement, and manage a multi-tier distributed decision-support application within each environment. You get detailed hands-on guidance for: * Data extraction processes and tools. * How to define the most appropriate decision support architecture. * Different DSS tools for the Desktop including EIS, Data Mining, Extended Reporting, and Managed Query. * Configuring SQL Server 7.0 for implementation, table definition, indexing strategies, query processing, and managing and enhancing performance. * The role of Microsoft Repository in design, development, and management and its support of UML. * How to achieve integration across the environments with OLE DB for OLAP and its key APIs. * Client access using Excel, Visual Basic, Java, English Query, and other query and analysis tools with SQL Server 7.0. * How to leverage the data in the data warehouse once it's built with various analysis scenarios such as customer relationship management, market basket, and market share.


Creating the Discipline of Knowledge Management

Creating the Discipline of Knowledge Management
Author: Michael Stankosky
Publisher: Routledge
Total Pages: 257
Release: 2005-04-18
Genre: Business & Economics
ISBN: 1136413545

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In this book Dr. Michael Stankosky, founder of the first doctoral program in knowledge management, sets out to provide a rationale and solid research basis for establishing Knowledge Management (KM) as an academic discipline. While it is widely known that Knowledge is the driver of our knowledge economy, Knowledge Management does not yet have the legitimacy that only rigorous academic research can provide. This book lays out the argument for KM as a separate academic discipline, with its own body of knowledge (theoretical constructs), guiding principles, and professional society. In creating an academic discipline, there has to be a widely accepted theoretical construct, arrived at by undergoing scholarly scientific investigation and accompanying rigor. This construct becomes the basis for an academic curriculum, and proven methodologies for practice. Thus, the chapters in this book bridge theory and practice, providing guiding principles to those embarking on or evaluating the merits of a KM program. As a methodology itself for undertaking the development of a body of knowledge, a KM Research Map was developed to guide scholars, researchers, and practitioners. This book presents this map, and showcases cutting-edge scholarship already performed in this nascent field by including the dissertation results of eleven KM scholar/practitioners.


Decision Spt N Data Warehouse Sys

Decision Spt N Data Warehouse Sys
Author: Efrem Mallach
Publisher: Tata McGraw-Hill Education
Total Pages: 0
Release: 2002-07
Genre: Data warehousing
ISBN: 9780070486843

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Using the Data Warehouse

Using the Data Warehouse
Author: W. H. Inmon
Publisher:
Total Pages: 312
Release: 1994-07-27
Genre: Business & Economics
ISBN:

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This book describes exactly how to use a data warehouse once it's been constructed. The discussion of how to use information to capture and maintain competitive advantage will be of particular strategic interest to marketing, production, and other line managers. Database professionals will appreciate the tactical advice on this topic.