Prototype for Macroeconomic Decision Support System with Spatial Databases Support

Authors

  • Anda Belciu (Velicanu) The Bucharest University of Economic Studies
  • Madalina Ecaterina Popescu The Bucharest University of Economic Studies and The National Scientific Research Institute for Labour and Social Protection

Keywords:

Big Data, Big Decisions, Decision Support System, Macroeconomic Policies, Spatial Databases

Abstract

Network organized structures can be stored and subsequently represented using spatial databases. They are used in areas where the aspects connected to maps and photos are very important: weather, management of natural calamities (earthquakes, fires, cyclones, volcanoes, floods), transportation and macroeconomic fluctuations. Studying side by side several such networks may reveal new aspects that will support making Big Decisions. For such solutions, the latest computer technologies are required, such as storing and processing huge volumes of data, Cloud storing, retrieving data from multiple sources and even using alert messages from social networks. Also, spatial databases are optimized to store and allow optimal access to data regarding various spatial localized objects.

In this paper we propose a decision support system’s prototype that uses macroeconomic indicators that are correlated with natural phenomena like cataclysm (flows, earthquakes, etc.) at regional level and using spatial representation. The data will be collected as social media from Google Trends with possible extension from social networks, forums, news, etc. We will show how Big Data leads to Big Decisions when processed in a decision support system.

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Published

2015-10-01

How to Cite

Belciu (Velicanu), A., & Popescu, M. E. (2015). Prototype for Macroeconomic Decision Support System with Spatial Databases Support. International Journal of Economic Practices and Theories, 5(5), 428-434. Retrieved from http://ijept.eu/index.php/ijept/article/view/Prototype_for_Macroeconomic_Decision_Support_System_with_Spati

Issue

Vol. 5 No. 5 (2015): Special issue on Trends in Sustainable Business and Consumption

Section

Articles

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