Rightn descion right time at right place is the which we can apply in our bussines
and we get good turnover as well as best employment ....
3, the second is ANALYSIS
what are the two specific necessary decision making skills
A Decision Support System (DSS) is a way to model data and make quality decisions based on it. Making the right decision in business is usually based on data quality and one's ability to sift through and analyze the data to find trends that solutions and strategies can be created from/for. Decision Support Systems are usually computer applications with a human component. They can sift through large amounts of data and pick between the many choices.
Manger is the most important person of the organization he has to take all kinds of resources utilization decision. for example: Human resource, that must be placed in the proper place. in the operation of factory he must decide from the raw material to sales process. In the general sense we can say that decision making is the one of the most vital function of the management that approach the best alternative among the available alternative. Decision making is the most challenging job for the manager, there are so many steps to take the decision if he follow the some major steps that will be the rational decision from his/her organization. They are: 1. Collect needed information from the internal sources of organization. 2.Collect needed information from task and external sources of organization. 3. Environment scanning 4. Analise the opportunities 5. Getting some related information from expert. 6. Draft circular to subordinates 7. Collect the feed back from all 8. Decision making.
Computerized decision support systems became practical with the development of minicomputers, timeshare operating systems and distributed computing. The history of the implementation of such systems begins in the mid-1960s. In a technology field as diverse as DSS, chronicling history is neither neat nor linear. Different people perceive the field of Decision Support Systems from various vantage points and report different accounts of what happened and what was important (cf., Arnott & Pervan, 2005; Eom & Lee, 1990b; McCosh & Correa-Perez, 2006; Power, 2003; Power, 2004a; Silver, 1991). As technology evolved new computerized decision support applications were developed and studied. Researchers used multiple frameworks to help build and understand these systems. Today one can organize the history of DSS into the five broad DSS categories explained in Power (2001; 2002; 2004b), including: communications-driven, data-driven, document driven, knowledge-driven and model-driven decision support systems. This hypertext document is a starting point in explaining the origins of the various technology threads that are converging to provide integrated support for managers working alone, in teams and in organization hierarchies to manage organizations and make more rational decisions. History is both a guide to future activity in this field and a record of the ideas and actions of those who have helped advance our thinking and practice. Historical facts can be sorted out and better understood, but more information gathering is necessary. This web page is a starting point in collecting more first hand accounts and in building a more complete mosaic of what was occurring in universities, software companies and in organizations to build and use DSS. This document traces decision support applications and research studies related to model and data-oriented systems, management expert systems, multidimensional data analysis, query and reporting tools, online analytical processing (OLAP), Business Intelligence, group DSS, conferencing and groupware, document management, spatial DSS and Executive Information Systems as the technologies emerge, converge and diverge. All of these technologies have been used to support decision making. A timeline of major historical milestones relevant to DSS is included in Appendix I. The study of decision support systems is an applied discipline that uses knowledge and especially theory from other disciplines. For this reason, many DSS research questions have been examined because they were of concern to people who were building and using specific DSS. Hence much of the broad DSS knowledge base provides generalizations and directions for building more effective DSS (cf., Baskerville & Myers, 2002; Keen, 1980). The next section describes the origins of the field of decision support systems. Section 3 discusses the decision support systems theory development that occurred in the late 1970s and early 1980s. Section 4 discusses important developments to communications-driven , data-driven, document driven, knowledge-driven and model-driven DSS (cf., Power, 2002). The final section briefly discusses how DSS practice, research and technology is continuing to
3, the second is ANALYSIS
what are the two specific necessary decision making skills
what are the two specific necessary decision making skills
The Decision Support Model has how many steps?
Rightn descion right time at right place is the which we can apply in our bussines and we get good turnover as well as best employment ....
Seven Steps
Seven
6
4
A Decision Support System (DSS) is a way to model data and make quality decisions based on it. Making the right decision in business is usually based on data quality and one's ability to sift through and analyze the data to find trends that solutions and strategies can be created from/for. Decision Support Systems are usually computer applications with a human component. They can sift through large amounts of data and pick between the many choices.
They did not support Charles I because he had so many wrong doings they wanted to bring justice.
The critical decision-making method typically involves four steps: identifying the problem, generating potential solutions, evaluating the solutions, and implementing the best solution. Each step plays a crucial role in making well-informed and effective decisions.