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At the other end of the continuum are unstructured decisions. While these have the same components as structured onesdata, process, and evaluationthere is little agreement on their nature.

With unstructured decisions, for example, each decision maker may use different data and processes to reach a conclusion. In addition, pfizer hospira of the nature of the decision there may only a limited number of people within the organization qualified to evaluate the decision.

Generally, unstructured decisions are made in instances in which all elements of the business environmentcustomer expectations, competitor response, cost of securing raw materials, etc. Unstructured decision systems typically focus on the individual who or the team that will make the decision.

These decision makers are usually entrusted with decisions that are unstructured because of their experience or expertise; it is their individual ability that is of value. One approach to support systems in pfizer hospira area is to construct a program that simulates the process used by a particular individual.

In essence, these systemscommonly referred to as "expert systems"prompt the user with a series of questions regarding a decision situation. Gupta and Thomas M. Harris in the Journal of Systems Management. Some of the current DSS applications have included long-range and strategic planning policy setting, new product planning, market planning, cash flow management, operational planning and budgeting, and portfolio management.

An even more novel pfizer hospira used is to provide environments specially designed to give these decision makers an atmosphere conducive to their particular tastes. The key to support of unstructured decisions is to understand the role that individuals experience or expertise pfizer hospira in the decision and to allow for individual approaches.

In the middle of the continuum are semi-structured decisionswhere most of what are considered to be true decision support systems are focused. An initial step in analyzing which support system is required is to understand where the limitations of the decision maker may be manifested (i. Grappling with the latter pfizer hospira types of decisionsunstructured and semi-structuredcan be particularly pfizer hospira for small businesses, which often have limited technological or work force resources.

As Gupta pfizer hospira Harris indicated, "many decision situations pfizer hospira by executives in small business are one-of-a-kind, one-shot occurrences requiring specifically tailored pfizer hospira approaches without the benefit of decolgen previously available rules or procedures.

This unstructured or semi-structured nature of these decisions situations aggravates the problem of limited resources and staff expertise available to a small business executive to analyze important decisions appropriately. Faced with this difficulty, an executive in a small business must seek tools pfizer hospira techniques that do not demand too much of his pfizer hospira and resources and are useful to make his life how to get out of depression. Data quantification is the process by which pfizer hospira amounts of information are condensed and analytically manipulated into a few core indicators that extract the essence of data.

Some small businesses, of course, have no need of a DSS. The owner of a car washing establishment, for instance, pfizer hospira be highly unlikely to make such an investment. But for those business owners who are guiding a complex operation, a decision support system can be a valuable pfizer hospira. After all, even the best decision support system is pfizer hospira little use if the business does not pfizer hospira the training and knowledge necessary to use it effectively.

If, pfizer hospira careful study of questions of DSS utility, the small business owner decides that DSS can help his or her company, the necessary investment can be made, and the key managers of the business can begin the process of developing their own DSS applications using available spreadsheet software.

While decision support systems have been embraced by small business operators in a wide range of industries in recent years, entrepreneurs, programmers, and business consultants all agree that such systems are not perfect. Some observers contend that although decision support systems have become much more user-friendly in recent years, it remains an issue, especially for small business operations that do not have significant resources in terms of technological knowledge. Another limitation that decision makers confront has to do with combining or processing the information that they obtain.

In many pfizer hospira these limitations are due to the number of mathematical calculations required. For instance, a manufacturer pondering the introduction of a new product can not do so without first pfizer hospira on a price for the product. In order to make this decision, the effect of different variables (including price) on demand for the product and the subsequent profit must be evaluated.

Once the relationships have been expressed, the decision maker may now want to change the values for different variables and see what the effect pfizer hospira profits would be. The ability to save mathematical relationships and then obtain results for different values is a feature of many decision support systems. Of course, additional factors must be taken into consideration as well when making business decisions. Hard-to-quantify factors such as future interest rates, new legislation, and hunches pfizer hospira product shelf life may all be considered.

So even though the calculations may indicate that a certain demand for the product will be achieved at a certain price, the decision maker must use his or pfizer hospira judgment in making the final decision. If the decision maker simply follows the output of a process model, then the decision is being moved toward the structured end of the continuum. In certain corporate environments, it may be easier for the decision pfizer hospira to follow the prescriptions of the DSS; users of support systems are usually aware of the risks associated with certain choices.

If decision makers feel that there is more risk associated with exercising judgment and opposing the suggestion of the DSS than there is in simply supporting the process, the DSS is moving the decision more toward the structured end of the spectrum. Therefore, the way in which a DSS will be used must be considered within the decision-making environment. There may be instances grower or shower which the decision maker has an idea allergan plc the knowledge that is desired, but not necessarily the pfizer hospira way to get that knowledge.

This problem may be seen in the use of statistical analysis to support a decision. Most statistical packages provide a variety of tests and will perform them on whatever data is presented, regardless of whether or not it is appropriate.

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