USING VARIOUS DATA SOURCES TO OPTIMIZE THE FLOWS REQUIRED IN ECONOMIC APPLICATIONS
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Authors:
• Dănuţ-Octavian SIMION, email: danut_so@yahoo.com, Afiliation: Athenaeum University, Bucharest, RomaniaPages:
• 9|19 -
Keywords: economic problems, computer systems, economic flows, data from external environment, data interpretation, design for economic applications.
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Abstract:
The paper presents the usage of various sources of data for optimization in economic applications. Economic IT systems are designed to streamline and automate the processing, record keeping and reporting of transactions. Record current information and maintain database of transaction information. The quantitative and even qualitative increase in the information obtained from the processing of daily transactions did not lead to significant changes in the quality of the decisions made. There are numerous options for data processing, information evaluation, adaptation to changes. While transactional systems emphasize the integrity and consistency of data, being managed as a whole, interactive decision support systems regroup data spread across several databases according to a defined purpose, manage data organized distinctly by analysis subjects. Broken down by operational departments, the decisions are found in directives necessary for operational management and consider the particularities of the functional departments. The simulation is done on models of the field of application and facilitates the decision-maker’s choice of measures imposed by reality, by the concrete conditions in which the activity is carried out. Presented and sometimes even used independently, management systems make up a unitary system at the company level. Integrating specific information and communicating at different managerial levels, based on the data recorded in the primary documents, builds decisions for the entire company. By implementing some mathematical models and using the calculation technique in the specific activities, the information system prints increased valences to the information system from a quantitative and qualitative perspective.
