Decision Support Systems (DSS) A Decision Support System (DSS) is an information system at the management level of an organization that combines data‚ analytical tools‚ and models to support semistructured and unstructured decision-making. A DSS can handle low volume or massive databases optimized for data analysis. DSS has more power than other systems. They are built explicitly with a variety of models to analyze data or they condense large amounts of data into a form where they can be analyzed
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ASSIGNMENT OF INFORMATION SYSTEM AND ADMINISTRATION NAME : QUDSIA AZEEM CLASS: BBA 3B DATE : 27-3-2013 JINNAH UNIVERSITY FOR WOMEN SUMMARY OF THE ARTICLE DECISION SUPPORT SYSTEMS AND WEB TECHNOLOGIES: A STATUS REPORT DECISION SUPPORT SYSTEMS‚ WORLD-WIDE WEB‚ DATA DRIVEN DSS‚ MODEL-DRIVEN DSS‚ IMPLEMENTATION. Introduction to DSS: A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
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Assignment 4: Decision Support Systems Making decisions concerning complex systems (e.g.‚ the management of organizational operations‚ industrial processes‚ or investment portfolios; the command and control of military units; or the control of nuclear power plants) often strains our cognitive capabilities. Even though individual interactions among a system’s variables may be well understood‚ predicting how the system will react to an external manipulation such as a policy decision is often difficult
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Decision Support Systems Decision support systems are interactive‚ computer-based systems that aid users in judgment and choice activities. They provide data storage and retrieval but enhance the traditional information access and retrieval functions with support for model building and model-based reasoning. They support framing‚ modeling‚ and problem solving. Typical application areas of DSSs are management and planning in business‚ health care‚ the military‚ and any area in which management will
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Decision Support and Business Intelligence Systems‚ 9e (Turban) Chapter 7 Text and Web Mining 1) DARPA and MITRE teamed up to develop capabilities to automatically filter text-based information sources to generate actionable information in a timely manner. ANSWER: ??? Diff: 2 Page Ref: 288 2) A vast majority of all business data are captured and stored in structured text documents. ANSWER: ??? Diff: 2 Page Ref: 289 3) Text mining is important to competitive advantage because knowledge
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1. What does the word processing in data processing mean? 2. Give three examples in which raw data also serves as useful information. 3. Give three business examples(not mentioned in the text) of data that must be processed to provide useful information.1. What does the word processing in data processing mean? 2. Give three examples in which raw data also serves as useful information. 3. Give three business examples(not mentioned in the text) of data that must be processed to provide
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FALL 2011 Decision Support System and Managerial Decision Making Prof. Hassan Qudrat-Ullah Due Date: December 8‚ 2011 By: Farazeh Khalid Mian Abhishek Sahi Table of Contents SECTION NUMBER | SECTION NAME | PAGE NUMBER | | Abstract | 3 | 11.11.2 | IntroductionWhat is decision making? What is a Decision Support System? | 3‚ 44‚ 5‚ 6 | 22.12.22.3 | Literature Review DSS in the business environmentImportant attributes of the Decision Support SystemCapabilities
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Abstract Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while‚ at the same time‚ assuring patient safety and reducing
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CONTENTS 1.0 INTRODUCTION 2 1.1 The ARB Apex Bank 2 1.2 ARB APEX BANK SECVICES 3 1.3 DECISION SUPPORT MODEL ONE 5 1.4 DECISION SUPPORT MODEL TWO 9 1.5 LOCATION WORKSHEET 9 1.6 CONCLUSION 11 1.7 REFERENCEKERENCES 12 TABLE OF FIGURES FIG 2.1 AN ISSUE LOG MODEL FOR CUSTOMERS Error! Bookmark not defined. FIG 2.2 SAMPLE ISSUE LOG…………………………………………………………………..9 LIST OF TABLES. TABLE 1.1Factors to consider before selection of location………………………………….12
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APPLICATION OF DECISION SUPPORT SYSTEM There are intellectual possessory of creating such systems in any knowledge domain. Good example is the clinical decision support system for medical diagnosis. A bank loan officer verifying the credit of a loan collector or an engineering firm that has declaration and the want to be competitive with their cost. DSS is is commonly used in business and management. Executive dashboard and other business performance software allow quick decision making‚ assimilation
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