أخر الاخبار

decision support systems Definition

decision support systems

Who is the first to apply decision support systems?
Decision support systems or DSS are computer applications that collect, organize and analyze data with the aim of helping management to make the right decisions that will contribute to the establishment’s delivery of its set goals. Executive and financial statements.

The Carnegie Institute of Technology was the first to apply decision support systems in the 1950s and early 1960s, followed by the Massachusetts Institute of Technology which applied it to decision-making theory in the 1960s.

By the eighties, research on decision support systems intensified to witness the emergence of new concepts and theories on individual user models of decision support systems, and on organizational decision support systems and collective decision support systems, and by the nineties witnessed a huge development for these systems to include new concepts, such as data storage and data analysis thanks to the Internet, The information collected by decision support systems includes revenue figures, sales forecasts, and comparative sales figures between different time periods.
decision support systems Definition
decision support systems Definition

Advantages of decision support systems

Do decision support systems provide data retrieval features?
There isn't anyt any doubt that technological discoveries, specifically withinside the subject of synthetic intelligence, have helped decision-makers loads withinside the decision-making process, because it furnished them with the ability to analyze and compare their decisions with similar decisions and show the results that may result from this or that decision, and it also works to provide advice to administrators by analyzing Information stored on private databases in decision-making support systems, where decision support systems that were designed on the basis of individual decision support facilitated the development later to support collective and organizational decisions to contribute to the process of decision-making both routine and non-routine, which facilitated administrative processes and provided the possibility of making the most efficient and effective decision that has the least possible negative effects.

These systems rely on automated computers that prepare reports that support the decision-making process by providing them with data commensurate with the needs of decision-makers. These systems can also be used in the event of retrieving information related to the decision-making process and thus assessing the influences and restrictions surrounding this process. The most important advantages that can be summarized in decision support systems are:
  • In-depth data analysis: where the decision support department conducts an in-depth analysis using models or graphs and maps and provides very useful information based on this analysis to the stakeholders of the decision-makers.
  • Data display: where decision support systems allow the ability to display data in several forms based on the user's request.
  • Direct access: Decision support systems allow easy access to descriptive and quantitative information stored on their databases, which makes it easier for stakeholders to explore important data in the process of making a particular decision.
  • Data justification: where decision-making systems justify the data that is consistent with the intended decision.
  • The immediate answer: These systems provide the possibility of a quick and direct answer to any question from the decision-makers, and it may be an inquiry about an event or a similar decision.
  • Confirmation of relationships: This helps in the process of analyzing problems and comparing their circumstances, as well as with regard to the decision taken in it, comparing it with the decision intended to be taken, and recommending amendments that may be more appropriate to the current decision.
  • The ability to interact with the system: Decision support systems allow easy interaction with the elements of these systems using the language of commands that allow access to the system and its question.

intelligent decision support systems

It is one of the types of decision support systems, and it uses artificial intelligence techniques, urging that the use of artificial intelligence techniques in management information systems in general and decision support systems, in particular, has a long history, as it was previously used under names such as knowledge-based systems and smart systems since the eighties to describe the components of systems decision support.

Examples of decision support systems are flexible manufacturing systems, marketing decision support systems, and medical diagnostic systems. Smart decision support systems play the role of an expert consultant, as they help decision-makers make their decisions by collecting and analyzing information, identifying and diagnosing the problem, and proposing possible solutions to these problems. These technologies aim To support decision-makers in the process of making the most effective decisions by analyzing similar previous decisions showing their effects in the past and directing managers to take the most appropriate decision with the current situation of the organization.

Decision support systems in the health field

Also called clinical decision support systems, a medical information technology system designed to provide clinicians and other medical professionals with clinical decisions and help them make appropriate clinical decisions, defined by Robert Hayward of the Center for Health Evidence as a system that links health observations and health knowledge to influence decisions Clinical physicians aim to improve medical performance.

Clinical decision support systems are considered one of the important topics in the field of artificial intelligence. The databases in these systems contain clinical notes on the trauma and their treatment history. They also contain general medical information and notes to facilitate the physician to make the appropriate decision in the field. The process of treating patients.

Other types of MIS


There are many types of management information systems with different needs, and the reason for this difference is in the diversity of administrative activities in the departments of the organization, but it is possible for these systems to interact with each other if necessary, and the following are the most important types of management information systems:
  • Executive Information Systems "EIS": It is one of the types of management information systems, which is used in the reporting process, and provides quick access to summary reports coming from all levels of the organization and its various departments, such as the human resources department or operations.
  • Marketing data structures: It is one of the sorts of control data structures designed for the purpose of managing aspects related to the marketing needs of the organization.
  • Accounting information systems: It is one of the types of management information systems. Accounting information systems are concerned with collecting and classifying data related to the accounting department and facilitating easy reference.
  • Human Resources Management Systems: It is one of the types of management information systems and is used to manage data related to employees such as promotions, training, and other functions performed by the Human Resources Department.
  • Office automation systems "OAS": These systems specialize in supporting communications between the productive departments of the organization by automating workflow and eliminating bottlenecks.
  • School Information Management Systems (SIMS): These systems are concerned with educational materials, student affairs, and the needs of school administration and teachers for information related to students or a student in particular.
  • Enterprise resource planning (ERP) systems: These systems organize and facilitate the flow of information between the various departments of the organization and manage communications with customers, shareholders, or any party outside the organization.
  • Local databases: They are very simplified tools that contain basic information and are used by senior management members.
Comments
No comments
Post a Comment



    Reading Mode :
    Font Size
    +
    16
    -
    lines height
    +
    2
    -