Description: Decision Support Systems (DSS) are computer-based tools designed to assist users in making complex decisions by collecting, analyzing, and presenting relevant data. These systems integrate analytical models and databases to provide information that facilitates the evaluation of different alternatives. A DSS can be used in various areas, such as business planning, resource management, project evaluation, and process optimization. The main characteristics of a DSS include the ability to handle large volumes of data, flexibility to adapt to different types of decisions, and user interaction to customize results. The relevance of these systems lies in their ability to improve decision quality, reduce the time needed to make them, and increase operational efficiency in organizations. In an increasingly complex and dynamic business environment, DSS has become essential tools for managers and analysts seeking to make informed decisions based on accurate and up-to-date data.
History: Decision Support Systems began to be developed in the 1960s, with the advancement of computing and the need for tools that helped managers make more informed decisions. One of the first examples was the ‘DSS’ system created by MIT in 1970, which focused on planning and data analysis. Over the decades, the evolution of technology, especially in the field of artificial intelligence and data analytics, has allowed DSS to become more sophisticated and accessible.
Uses: Decision Support Systems are used in various areas, including business planning, resource management, project evaluation, supply chain management, and financial analysis. They allow organizations to simulate different scenarios, assess risks and benefits, and optimize operational processes.
Examples: A practical example of a DSS is the system used by logistics companies to optimize delivery routes, considering variables such as traffic and weather conditions. Another example is the use of DSS in the financial sector to analyze investment portfolios and forecast market trends.
