Decision making is central to the success of your business. A Decision Support System (DSS), if used correctly, can help you make unbiased and quality decision, improving overall performance of your organization. A smart application relies on both human and artificial intelligence. However, make sure that a DSS is customized to specific needs of your business.
Articles on Decision Support Systems
Technology evolves, so advances everything related to it. Decision Support Systems are no exception. As decision making has become more complex in current turbulent times, more robust and multi-functional DSS are required. The new age DSS are more interactive, flexible and customer-centric, keeping businesses at the forefront of the competition. This article discusses how DSS have been helping businesses gain competitive advantage and the technology trends in this field.
Decision support systems have been incorporated into businesses to support human intelligence, but there are lot of uncertainties and limitations which are associated with the decision support systems. Lets discuss the limitations and disadvantages of DSS in detail.
Business decision making is a critical process. While decision support systems are built to support managerial decision making, a lot goes into planning and designing of these systems. This article discusses the need and process for evaluating business decision making, which is required to build bespoke decision support system software to ensure ‘good’ decision making in an organization.
Designing and developing a decision support system (DSS) is a complex, time consuming and expensive process. It’s true that current decision supports systems are far more responsive, flexible and smart than their previous generation. But still there is no best DSS development approach or methodology. This article discusses a few popular DSS development approaches along with their pros and cons.
Decision Support Systems (DSSs) have become an indispensable part of organizational decision making. Right from top management to employees at lower hierarchical levels use some kind of DSS to support daily functioning and decision making. However, the system supports good and quick decision making only if it has a well designed user interface. This article, therefore, sheds light on factors that play a crucial role in designing of a decision support system.
Building decision support system user interface is a complex and time consuming process. As each DSS has its own set of representations, operations and memory and control aids, it’s important to focus on all these aspects, to increase the likelihood that the system will be used by the end user. This article discusses the process of building decision support systems and factors influencing the success of user interface design.
Given the rapid pace of technology development and need to reduce time-to-market, decision makers sometimes end up rushing with the development of a decision support system, which may not be the right approach. DSS architecture, networking and security are interrelated and play a critical role in the development and use of a decision support system. This article discusses the architecture, networks and security issues that they need to take into account before and during the development of a decision support system.
Geographical boundaries are fast diminishing at least in the business world. Organizations have teams that are geographically dispersed. In order to support fast and efficient decision making, they get custom developed communications-driven and group decision support systems. These types of DSS make it easier for every team member to access information and communicate with others in real time.
Model-driven decision support system uses one from among or a combination of analytical, statistical, financial or stimulation models, to aid in decision making. This article focuses on the situations where a model-driven DSS can be used.
One of the ways to share knowledge within the organization, among employees, investors and shareholders, is to implement a knowledge-driven decision support system. It provides a strong mechanism for knowledge capturing, storage and management. This article discusses how to build and manage a knowledge-driven decision support system.
Worldwide Web and internet technologies have extended the reach, scope and capabilities of decision support systems by making information available in plenty at nominal costs. Most decision support systems nowadays use information technology to enhance the possibilities of speeding up the decision making process. This article aims to educate you about web-based and inter-organizational decision support systems and their advantages and disadvantages.
The use of decision support systems is more common than ever. They help managers in quickly processing the data, analyzing various decision alternatives and choosing the best one from among them. However, its really important to choose a decision support system wisely. A wrong system doesnt fulfill the needs of end users and is a sheer waste of time, effort and money. You must evaluate a proposed decision support system project before giving it a green signal.
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