Decision Support System

ASSIGNMENT OF INFORMATION SYSTEM AND disposal NAME QUDSIA AZEEM CLASS BBA 3B DATE 27-3-2013 JINNAH UNIVERSITY FOR WOMEN SUMMARY OF THE ARTICLE DECISION comport SYSTEMS AND entanglement TECHNOLOGIES A STATUS REPORT DECISION SUPPORT SYSTEMS, WORLD-WIDE WEB, data DRIVEN DSS, MODEL-DRIVEN DSS, IMPLEMENTATION. Introduction to DSS A last financial backing outline (DSS) is a computer-based training system that supports business or organizational decision-making activities. DSSs serve the management, operations, and preparedness levels of an organization and alleviate to make decisions, which may be rapidly ever-changing and not easily specified in advance. conclusion support systems can be either fully computerized, human or a combination of both. DSSs hold knowledge-based systems. A properly designed DSS is an interactive software-based system intended to help decision makers compile characterful study from a combination of in the altogether data, documents, and personal kn owledge, or business models to identify and solve problems and make decisions. World- long wind vane technologies hasten rapidly transformed the entire design, suppuration and implementation mathematical operation for all types of ratiocination life Systems.In particular, sack up technologies have returnd a tender media for sharing information about decision support and a freshly(a) means of delivering decision support capabilities. For DSS developers, the big leap forward is to affair the Web as computer. Modern decision support systems (DSS) go out managers a wide range of capabilities. Computerized systems support decision tasks like information gathering, model structure, sensitivity analysis, collaboration, alternative evaluation and decision implementation. Also, decision support is increasingly integrated in business processes and DSS are used for ad hoc analyses.This paper reviews the current status of finale Support Systems in the mount of developments in We b technologies. The article contains brief historical reviews, discussions on implementations of decision support system and the study part of this article is State of traffic pattern of DSS in 2001 HISTORY training Systems researchers and technologists have built and investigated computerized Decision Support Systems (DSS) for approximately 40 years. This article storys and explores the developments tie in to produceing and deploying DSS.The journey begins with building model-driven DSS in the late 1960s, theory developments in the 1970s, and implementation of financial plan systems, spreadsheet-based DSS and Group DSS in the early and mid 1980s. Data warehouses, Executive Information Systems, OLAP and Business Intelligence evolved in the late 1980s and early 1990s. Finally, the chronicle ends with knowledge-driven DSS and the implementation of Web-based DSS beginning in the mid-1990s. The field of computerized decision support is expanding to use new technologies and to cre ate new applications.. Web-Based Decision Support Systems Power (1998b) delimit a Web-Based Decision Support System as a computerized system that delivers decision support information or decision support tools to a manager or business analyst exploitation a thin-client Web browser like Netscape Navigator or Internet Explorer. The computer innkeeper that is hosting the DSS application is linked to the users computer by a network with the transmission control protocol/IP protocol. The idea of Web-enabled or Web-Based Decision Support Systems as go has been explored by versatile researchers and involves the concept of saying decision computation technologies as run on the Web.The new-fangled popularity and widespread use of the World Wide Web and the Internet has been accompanied by the development of a miscellanea of computing technologies that enable the realization of the decision technologies as services vision. Bhargava and Krishnan (1998) discussed the spot of a series of enabling technologies in the context of Model-Driven DSS, covering technologies that enable the use of the Web for communication of decision information and computation, technologies that enable the outside and platform-independent access of DSS, and technologies that accommodate DSS components to be distri alo take over the Web.Web Technologies and DSS Tasks Web technologies are making it possible to perform all of these tasks via a remote Web client. In thinking of such tasks, it is useful to recall the distinction made by Sprague (1980) about application- particular(prenominal) DSS that consist of software, data, and models for a specific decision problem and DSS generators that provide tools and algorithms for building a variety of specific DSS. Application-specific DSS are far easier to build, but rarely reusable DSS generators are far more complex to build but can be adapted to build many specific systems.Figure 1 summarizes the relationships among 10 major tasks involved in building and utilise Data and Model-Driven DSS. For example, using an application-specific Model-Driven DSS, a user would be given the relevant decision models and data, and would focus on tasks such as model execution, development of reports, or analysis. Using a corresponding DSS generator, on the other hand, would consume the performance of additional tasks such as model definition and intro of a custom user interface. IMPLEMENTATIONS OF DECISION SUPPORT SYSTEM submit OF PRACTICE 2001In a number of prior papers, we have examined the purpose to which current DSS products have Web-enabled the above decision support related tasks, and we have examined the evolution of DSS and especially Web-Based DSS. In this section, we provide an informal tour of our major findings. Web technologies provide both the communication of decision-related information and software and a means of providing remote access to distributed DSS components. We discuss the first function in terms of the Web as media and the second we call the Web as computer.How these capabilities or functions can be used to support decision-making is still evolving. thither is much scope for imagination here, but we have identified a few important beneficial uses of these capabilities and we will now review new-fashioned developments in each of these areas. WEB AS MEDIA The Web has facilitated the creation of a number of industry-wide DSS Information Portals . For example, the OLAP Report and Data Ware housing Online two are industry-wide decision support portals that offer information about software products, vendors, methodologies, and white papers in the context of OLAP and data warehousing technologies.DSSResources. COM is a knowledge repository for a broadly defined set of Decision Support Systems. IBMs COIN initiative (http//oss. software. ibm. com/developerworks/opensource/coin/) and e-optimization. com offer homogeneous portals for optimization. Info Harvest and the Decision Analysis S ociety have created portals related to decision analysis. Individual firms have used Web technologies to communicate information about their decision support products and methods, or allow users to conduct various tasks like ordering, payment or Internet delivery related to buying DSS products.In the context of using the Web for providing company and product information at that place is substantial activity across all categories of Decision Support Systems. WEB AS COMPUTER We generally discuss the use of the Web as computer capabilities in three categories digital product demonstrations, preview using online interactive examples, and on-line, Web-based Decision Support Systems. The first category, product demonstrations, represents a service line for the use of the Webs capabilities for remote computation.Online demonstrations can be delivered as animated multimedia documents (e. g. , QuickTime movies, or Shockwave animation) that require or allow small-minded user interaction. As a next step, online interactive examples allow users to interact (e. g. , by setting parameter values, or choosing which command to execute next, or designing the format of a report) with the DSS tool in the context of a specific example. The next step in the use of the Web as computer capabilities is to offer application-specific DSS to users that have decision problems within the supported categories.Recall our primitively example of OptAmaze. com which provides paper trim optimization and transportation optimization services to paper mills. Grazing Systems Limited offers decision support services in the agricultural sector. The value of such deployment of DSS may be appreciated by considering the difficulties that user firms would have in installing, maintaining and applying complex DSS tools on their own Web-enabled DSS allow such firms to use decision support tools without encountering these difficulties.CONCLUSION The practice of building Decision Support Systems can benefit in many ways from the availability of Web technologies. These technologies provide platform-independent, remote, and distributed computation and the exchange of complex multimedia information. The posit of practice has benefited considerably from these technologies but e need to resolve technological, economical and social and behavioral challenges to realize the benefits the Web can provide as a platform for building Decision Support Systems.DSS developers must endlessly find ways around these limitations, or make use of recent and anticipated developments such as the new version of Internet protocols. To offer decision support as a service, providers must experiment with new payment models. Decision support capabilities are of great interest to a broad range of stakeholders and enormous resources have been and will be move to building systems that promise to improve the quality, speed and effectiveness of specific decisions. We need to do much more than implement our technol ogies to build effective Decision Support Systems.