The business world is faced by numerous structured challenges. The success of these corporations depends on their ability to solve their organizational challenges that compromise the implementation of their set objectives. Therefore, as many, if not all businesses, have managerial units which govern their policy formulation and overlook their implementation and the strategies used in the system dictates its success. The divergent nature of these businesses as well as their modes of service brings about the difference in managerial strategies. For example, Digital Insurance Limited is a corporation owned in a shareholder basis, which is currently facing the threats of dissolution as a result of poor decisions by its executives. The task of decision-making is a sophisticated process delegated to the managerial taskforce of a business or organization which essentially controls all the operations of the business. Therefore, the support offered by these systems ensures that the best of decisions are made as far as the objectives of the business are concerned. A critical and comparative analysis of these support systems reveals their significance in the managerial sector of an organization in the context of. Digital Insurance Limited.
With the divergent nature of businesses, different definitions have been theorized to explain these systems. Actually, each business or organization defines DSS with respect to its significance and characteristics unique to that firm. However, its position as a tool that facilitates the development and continuation of organizational processes is undoubtedly the most common. To explain this disparity, the following analysis will highlight the use of these support systems in two different organizations to not only reveal its definition, but also reveal its best practices. DSSs are essentially information-based systems. This is because they gather information on a particular construct from various sources and perspectives hence enabling the panel to make informed decisions.
This proposal is a well-designed DSS system, with an interactive software-based model projected to help decision makers in Digital Insurance Limited accumulate useful information. These could be achieved from an amalgamation of raw data, documents, and personal knowledge of the different personnel running the program as well as other business models which have employed the same technique to solve their organizational challenges. The information collected by this system is, therefore, used to formulate strategies based on historical success of a certain approach for a common problem or a combination of both. There are systems incorporated in the managerial system to give it support in areas like decision making, analysis and policy formulation. As a matter of fact, the varying performances of different managerial units are as a result of divergent utilization of these support systems. DSS (Decision Support System) is software that assists an organization in its decision-making processes.
For instance, CDSS (Clinical decision support system) is computer software in a health institution, designed to help health practitioners and health professionals in decision making with respect to a particular diagnosis. These programs have detailed registry of health evidences in form of symptoms and can be used to predict health decisions from the outcomes of a diagnosis. As a matter of fact, clinical decision support systems have been conclusively defined as active knowledge systems using two or more outcomes of patient diagnosis to establish case-specific prescriptions. In this manner, the system supports the health sector by helping these professionals in determining the best healthcare decisions from certain outcomes.
In the context of DSS, clinical decision support systems actually support doctors and other physicians as significant stakeholders in the health sector in their activities. It minimizes the wastage of time as a professional takes time to link two different symptoms and the most probable health advice to give. Modern CDSS have been developed and modified to help physicians at the point of care. As a matter of fact, a clinician interacts with a CDSS to facilitate diagnosis, analysis, as well as prescription of patient data. The health practitioner usually inputs the outcome and waits for the CDSS to output the most appropriate decision. This leaves the physician with the simple task of implementing the decision. The innovative methodology of using CDSS to assist makes health professionals to work together with the CDSS. In essence, this utilizes both the physicians’ knowledge and that of the CDSS’s registry to make a better analysis of the patient’s data.
On the other hand, the decision support systems for the food industry, taking the example of Norway utilize the significance of these support systems to ensure that none of its food resources goes to waste. Essentially, decisions on fishing, processing, labor allocations, quota allocation, and marketing may play a significant role in the final quality of the marketed product and thereby the profits obtained. Therefore, food industries in Norway use the decision support systems to manage processing and marketing of their produced food. These systems have records of market waveforms from past statistical records as well as logistics and supply chains which help the managers embark on the best strategies that would utilize and maximize on their profits. In the context of DSS, the Norwegian case presents a different platform in which these systems are used; it helps the companies not only in managing their production, but also their sales.
On the other hand, ESS (Executive support systems) is intended to be used by the managerial department to provide sustainable non-programmed decisions in strategic management. These information are often external, unstructured and even uncertain. There is no distinct difference between these systems because they essentially serve the same purpose. A comprehensive analysis of their functions in different organizations highlights a good way to formulate a support system that would provide the best decisional information for the company. With respect to formulating software for the company, there are various features common to these systems which prove their functionality. For instance, the registry of the software should be exhaustive enough to provide options for the solution of a particular problem. In line with this, the panel will be able to establish the best option from the provided alternatives.
The examples mentioned above are perfect situations that should be emulated by the company in the formulation of its decision-making construct. As a matter of fact, the program proposed in this context will incorporate human resources to leave room for the process of thought. Humans have the ability to link two or more sets of data and establish considerable patterns. This would help solve the ideological differences and enhance the formation of a majority ideology. For example, the Clinical decision support system is formed by a panel of health practitioners who combine their professional knowledge in determining the most relevant information to be incorporated in the system. A conclusive program for the company will include predetermined outcome which enables the linking of two sets of data. To tell the truth, these systems have the ability to improvise waveforms from two sets of data which may display the sales or market outcome of a particular product. However, these systems are bound to have compromising effects on the image or performance of the business in the event that its registries are hacked or compromised.
In conclusion, these systems are bound to experience several shortcomings which could be minimized by particular adjustments. Security measures can be undertaken by Digital Insurance Limited in the support system to ensure that the information stored in the system is not tampered with or exposed to other competing firms. Competing firms could take advantage of leakages in information from data warehouses to actually formulate strategies that would compromise the sales of their products. In general, various companies have integrated technology in their strategies to ensure they feature in the competitive business world to support their existence. Additionally, the examples discussed above has utilized all the aspects of information systems to ensure their customers are well satisfied and ensure future transactions with them are guaranteed. They actually illustrate the significance of database technology in the success of business corporations like Digital Insurance Limited and building of greater customer relations with the service provider, moreover, it shows how a company with different entities can integrate its branches to ensure performance through enhanced decision-making.
References
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