...Decision Support System SYNOPSIS DSS Development 1. General idea of design and development process approaches: a. Traditional systems analysis and design, SDLC approach. b. An iterative, speedy prototyping c. Managers can develop their own personal DSS 2. Investigate alternative designs along with the development process approaches a. Building effective DSS is important matter b. Choose an approach that increases the chances of benefits of DSS c. Building a DSS is a difficult task since different employees have different job responsibilities and take different decisions. 3. Decision oriented Design Approach a. Pre design description and diagnosis of decision making functions b. Diagnosis of current decision making is to be prepared c. Determine how decisions are currently made 4. Decision orientation is the key a. Specify changes in decision process b. Flow chart the process c. Specify what specific improvements in the decision performance are to be made 5. Diagnostic Steps a. Collect data on present decision making b. Use interviews, observations or pervious records. c. Establish a logical description of the same d. Specify a norm as to how a decision should be made 6. Decision process audit plan a. What will be audited and by whom? b. Examine and diagram the process? c. Observe and collect data? d. Evaluate performance e. Reporting and recommendations are done accordingly 1 Decision Support System 7. Reaching a diagnosis a. Focus on identifying...
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...2000). With Internet-hosted databases and user friendly query device being mostly used, organizations are turning to decision support systems (DSS) software to analyze the company's databases and develop them into information helpful for decision makers. According to Power (2007) information Systems researchers and technologists have built and investigated computerized Decision Support Systems (DSS) for approximately 40 years. For the purpose of this work, I will define DSS as computer software that facilitates and accepts inputs of a large number of facts and methods to convert them into meaningful comparisons, graphs, and trends that can facilitate and enhance decision makers’ decision-making abilities to solve problems (Haitham, 2015). The advantages of using decision support systems for decision making. The use of DSS has been positively associated with success of better decisions that enhanced employees’ productivity (Edwards et al., 2000; Haag & Cummings, 2008).In my team, we have lots of reports to submit as required by OSHA /EPA and DSS software is being used to achieve 76 percent time reduction in information and report generating and a 40 percent rise in user productivity. DSS typically includes analytical and report-writing features, thus enabling users to translate raw data into a form useful for decision support. DSS, which offers users more flexible programming paradigms, can be compared to another type of software, which enhances productivity by accelerating...
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... Document Changes Date October 2008 Version 1.2 Description Pages To introduce PCI DSS v1.2 as “PCI DSS Requirements and Security Assessment Procedures,” eliminating redundancy between documents, and make both general and specific changes from PCI DSS Security Audit Procedures v1.1. For complete information, see PCI Data Security Standard Summary of Changes from PCI DSS Version 1.1 to 1.2. Add sentence that was incorrectly deleted between PCI DSS v1.1 and v1.2. Correct “then” to “than” in testing procedures 6.3.7.a and 6.3.7.b. 1.2.1 32 Remove grayed-out marking for “in place” and “not in place” columns in testing procedure 6.5.b. 33 For Compensating Controls Worksheet – Completed Example, correct wording at top of page to say “Use this worksheet to define compensating controls for any requirement noted as ‘in place’ via compensating controls.” July 2009 5 64 October 2010 2.0 Update and implement changes from v1.2.1. See PCI DSS – Summary of Changes from PCI DSS Version 1.2.1 to 2.0. November 2013 3.0 Update from v2.0. See PCI DSS – Summary of Changes from PCI DSS Version 2.0 to 3.0. April 2015 3.1 Update from PCI DSS v3.0. See PCI DSS – Summary of Changes from PCI DSS Version 3.0 to 3.1 for details of changes. April 2016 3.2 Update from PCI DSS v3.1. See PCI DSS – Summary of Changes from PCI DSS Version 3.1 to 3.2 for details of changes. Payment Card Industry (PCI) Data Security Standard,...
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...then response to the changing market condition and customer needs. A more defined organizational structure, performance metrics and decision support systems (DSS) in SCM is required to create competitive advantages for an organization. Since Information Technology/Information System (IT/IS) is an integral component of SCM, DSS is inevitable in making available the right information at the right time so that managers can make timely and more accurate decisions. However, there is no best known DSS type that is required to effectively manage a supply chain. A properly designed DSS will help decision makers to extract useful information from raw data, documents, personal knowledge and/or business models with the objective of identifying and solving problems, and making decisions. Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. The DSS in supply chain management can be a model, communication, data, document and knowledge driven. Three fundamental components of DSS architecture are: (i) Input data: database or knowledge base, (ii) Analytical Tool: the model (decision context and user criteria) and (iii) use interface, should be given due consideration while developing supply chain decision support systems (Figure1: DSS Components). B. Introduction The Objective of this paper is to define the importance of decision support systems in Supply Chain...
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...TOPic: DECISION SUPPORT SYSTEMS: AN OVERVIEW AND ITS ROLE IN BUSINESS Introduction A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance. Typical information that a decision support application might gather and present are: * Inventories of information assets (including legacy and relational data sources, cubes, data warehouses, and data marts), * Comparative sales figures between one period and the next, * Projected revenue figures based on product sales assumptions. 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. What will be, for example, the effect of introducing the third shift on a factory floor? One might expect that this will increase the plant's output by roughly 50 percent. Factors such as additional wages, machine weardown, maintenance breaks, raw material usage, supply logistics, and...
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...AN INTRODUCTION TO PCI-DSS COMPLIANCE Author: Nicholas Henry April 2016 Table of Contents 1. Abstract 2. History 3. PCI-DSS Overview 4. Understanding PCI-DSS Compliance 5. Achieving PCI-DSS Compliance 6. PCI-DSS in the IT Department 7. Negatives of PCI-DSS 8. Positives of PCI-DSS Abstract Around the world, consumer migration from traditional cash and check payments to electronic payment methods such as credit, debit or bank transfers continue to grow. In 2009 a survey discovered that less than 37% of all payments are now made using cash or check. While there are many benefits to this, there are also significant new issues introduced as a result. As customers use electronic payment methods, there is an expectation of security for the cardholder’s identity and payment information. With all the recent data theft and security breaches, this is becoming a significant issue. To ensure the protection of consumer information, the Payment Card Industry, or PCI, developed a set of data security standards (DSS) that merchants and financial service providers must maintain to be able to process debit and credit cards. While PCI does not manage compliance or impose consequences for non-compliance, individual card associations may initiate financial/operational penalties to businesses that are non-compliant...
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...Abstract This paper emphasized on the Decision Support System (DSS) defined in various ways depending upon the author’s point of view by Turban (1995), Little (1970), Moore and Chang (1980), Keen (1980), and Power (1997); history of DSS during late 1950s and early 1960s until millennium approached of Web-based analytical applications; the Decision support system (DSS) has been used in many different ways (Alter 1980, Power, 2002). Turban (1995) defines it as "an interactive, flexible, and adaptable computerbased information system, especially developed for supporting the solution of a nonstructured management problem for improved decision making. It utilizes data, provides an easy-to-use interface, and allows for the decision maker's own insights." For Little (1970), a DSS is a "model-based set of procedures for processing data and judgments to assist a manager in his decision-making." Moore and Chang (1980) define DSS as extendible systems capable of supporting ad hoc data analysis and decision modeling, oriented toward future planning, and used at irregular, unplanned intervals. importance of DSS to assist in high-level decision-making, assist academic advising staff, improve the quality and timeliness of marketing decisions, and medical diagnosis process; and current issues of DSS where decision-making as the most important activities for human beings, Clinical Decision Support Systems (CDSSs), several types of DSS usage and deployment, and Social decision support system...
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...Decision Support Managers in any organization face decision-making scenarios in almost every segment of their operations; whether if it is deciding to use a business-to-business (B2B) commerce model, which security system to use for its IT department, and even deciding on employee benefit plans. The bottom line is organizations cannot be competitive without making crucial decisions. Executives use decision-making systems to enhance their sales because most of their decisions are unstructured or semi structured. Accordingly, they need the best tools to help them. In addition, the more information they have, based on internal experiences or from external sources, the better their decisions. “By combining massive amounts of data with sophisticated analytical models and tools, and by making the system easy to use, they provide a much better source of information to use in the decision-making process” (Studymode.com, 2012) In relation to Information Technology, a decision support system (DSS) is a computer-based, information system intended to assist decision makers in approaching ill-structured problems by offering diagnostic models and access to databases (Haag & Cummings, 2008, pg. 162). Advantages and disadvantages of using decision support systems for decision-making The advantages of using decision support systems are (1) increased productivity, (2) increased understanding, (3) increased speed, (4) increased flexibility, (5) reduced problem complexity, and (6) reduced...
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...Australia. Tel: þ 618-92667390; Fax: þ 618-92663076; E-mail: pervang@cbs.curtin.edu.au Abstract This paper critically analyses the nature and state of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal DSS, group support systems, negotiation support systems, intelligent DSS, knowledge management-based DSS, executive information systems/business intelligence, and data warehousing. To understand the state of DSS research an empirical investigation of published DSS research is presented. This investigation is based on the detailed analysis of 1,020 DSS articles published in 14 major journals from 1990 to 2003. The analysis found that DSS publication has been falling steadily since its peak in 1994 and the current publication rate is at early 1990s levels. Other findings include that personal DSS and group support systems dominate research activity and data warehousing is the least published type of DSS. The journal DSS is the major publishing outlet; US ‘Other’ journals dominate DSS publishing and there is very low exposure of DSS in European journals. Around two-thirds of DSS research is empirical, a much higher proportion than general IS research. DSS empirical research is overwhelming positivist, and is more dominated by positivism than IS research in general. Design science is a major...
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...to first congratulate you on your new position as the Chief Executive Officer, of this amiable and well respected leader in the Healthcare logistics industry. It’s good to have an ambitious and goal oriented person like you in charge of this company. Decision Support System (DSS) is a type of Information System that are into specifics, it helps in the strategic decision making of the Top Executives in an organization, by gathering and analyzing both internal and external information. A good way to understand this type of Information System is to visualize the executive management in an aircraft cockpit with the instrument panel guiding them about the status of all key business activities. A special type of DSS, referred to as Executive Information System (EIS), is structured to support the information needs of the executive management. EIS information is presented in charts and tables that show trends, ratios, and other managerial statistics. This type of Information System would certainly help provide a strategic impact on the business of this company by gathering data on competitors’ customers. Advantages of Decision Support System 1. It improves personal efficiency as it’s very easy to use, as the user do not have to be a computer geek in understanding how it works. 2. The information produced by is quick and timely, as many decisions that executives have to make are quick. With EIS, an executive can find information promptly and with no troubles, which gives...
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...ACKNOWLEDGEMENTS 7 Executive Summary 8 INTRODUCTION 9 Decision Support System 10 Telecommunication Sector in Pakistan 13 PROBLEM DEVELOPMENT 14 Significance of the study 15 Study Objectives 15 Research Research Query#s 15 Relevant Variables 16 Dependent variables: 16 Independent variables: 16 Research Hypothesis 16 Hypothesis # 1 16 Hypothesis # 2 16 Hypothesis # 3 17 Hypothesis # 4 17 LITERATURE REVIEW 18 “ 21 “ 21 (Business psychology and organisational behaviour 21 “ 22 “ 22 RESEARCH METHODOLOGY 23 Introduction to chapter 24 Research Design: 24 Purpose of research 25 Data Processing and Analysis 25 Primary and Secondary data 25 Regression Equation 26 Comparative Analysis 28 Dss and Comapny 28 Respondent age 28 Respondent sex 29 Respondent Work Experience 29 Respondent Qualification 30 Research Query’s Analysis 31 Research Query# 1 31 Research Query# 2 31 Research Query# 3 31 Research Query# 4 32 Research Query# 5 32 Research Query# 6 32 Research Query# 7 33 Research Query# 8 33 Research Query# 9 33 Research Query# 10 34 Research Query# 11 34 Research Query# 12 34 Research Query# 13 35 Research Query# 14 35 Research Query# 15 35 Research Query# Frequencies 36 Research Query# 1 36 Research Query# 2 37 Research Query# 3 38 Research Query# 4 39 Research Query# 5...
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...of the Current State of Technology With the increasing demand for up- to- date, correct and relevant information in the business world, it is crucial for each business to take advantage of breakthroughs in information technology specifically in the field of information systems. Information generated is used by decision makers to gain competitive advantage against competitors and to take advantage of opportunities to increase business performance, effectiveness and efficiency. One of the several information systems which are considered to be of the great help for managers in decision making is the decision support system. Decision Support System (DSS) combines models and data in an attempt to solve semi- structured and some unstructured problems with extensive user involvement. With correct gathering and manipulation of data, DSS can provide several alternative solutions which in turn can lead to correct decision making. Today, there are many companies adopting decision – support systems and data mining software not only in the U.S. but also in the Philippines. However, there is limited literature on companies in Iloilo City adopting this technology. For this reason, the proponents saw the need to study the process of one company in Iloilo City where this type of information system can be adopted. That company is Westvis Marketing Corporation. Westvis Marketing Corporation (WMC) was founded by Mr. Honesto Tomas Hsia on April 2011. Mr. Hsia was a former managing partner in...
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...School : Science and Technology Course : IST 4040 Decision Analysis Instructor : Mayieka Jared Maranga Exam : Mid Semester Semester : Summer 2015 Time : 1 hr 20 Minutes TOTAL MARKS 30: WEIGHT 20 ------------------------------------------------- Instructions: i. This paper has two sections A and B. ii. Answer all questions in Section A and Two questions in section B. iii. No reading materials are allowed into the exam room iv. No unauthorized material should be with you in the examination room e.g. No phones (Whether off or not), No written papers or written body parts, etc. SECTION A (Answer all questions in this section) 1. What is the importance of decision style? (1 Mark) Answer: Decision style is the manner in which decision makers think and react to problems. This includes their cognitive response, their values, beliefs, and perceptions. These factors can vary greatly amongst individuals; as a result decisions can vary greatly. 2. List five benefits of using models. (5 Marks) Answer: * Model manipulation is easier than manipulating the real system since do much data is involved and can always be changed. * Models enable compression of time. This is because the time taken to develop models is much shorter than that to be spending developing a full-fledged system * The cost of model analysis is less than the cost of a similar experiment using the real system. * The cost of...
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...DSS Final Review A. Descriptive Questions: 1A. what is DSS configuration? * Decision support can be provided in many different configurations. These configurations depend on the nature of the management-decision situation and the specific technologies used for support. 1B. Give a brief description of DSS? * Decision: is a choice among alternatives available to an individual. * Decision Support Systems: are computer-based systems that bring together information from a variety of sources, assist in the organization and analysis of information, and facilitate the evaluation of assumptions underlying the specific models. 2A. Draw a diagram of key characteristics and capabilities of DSS. * Diagram of key characteristics and capabilities of DSS: 2B. Describe the key characteristics and capabilities of DSS. * the key characteristics and capabilities of DSS: 1. Support for (mainly) semi structured and unstructured situations, combining human judgment with computerized information. 2. Support for all managerial levels, from top executives to line managers. 3. Support for individuals and groups. 4. Support for interdependent and/or sequential decisions. 5. Support all four decision-making phases: intelligence, design, choice, and implementation. 6. Support variety of decision-making processes and styles. 7. Users can add, delete, combine, change, or rearrange basic elements, or modify them to solve other, similar...
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...Application of DSS to Traffic Management Table of Contents Table of Figures ............................................................................................................................................. 1 Table of Tables .............................................................................................................................................. 1 Introduction .................................................................................................................................................. 2 Framework and Infrastructure...................................................................................................................... 3 MODELLING AND APPLICATION OF DSS TO TRAFFIC MANAGEMENT .......................................................... 8 MSTEM By (Hasan, 2010) .......................................................................................................................... 8 Fuzzy Logic Application by (Almejalli, Dahal, & Hossain, 2006) .............................................................. 12 MultiAgent Modelling by (Ossowski, et al., 2005) .................................................................................. 15 Conclusion ................................................................................................................................................... 18 References .........................................................................................................
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