SILVA, T. E.; http://lattes.cnpq.br/1489832950815140; SILVA, Tiago Eduardo.
Resumen:
Business Intelligence (BI) and Geographic Information Systems (GIS) technologies have been
used by several organizations to extract information from multiple data sources in order to
improve the process of decision making. Several solutions for the integration of these two
technologies have been proposed in recent years. The term Spatial OLAP arose from these
attempts of integration and is now used to classify the tools to perform analysis on spatial and
conventional data organized according to the multidimensional approach. Nevertheless, no
consensus has been reached regarding the best way to accomplish such integration, making it
difficult to perform analysis with spatial cubes from various multidimensional data sources in
the same environment. In this work, we realize a study on the main characteristics of the state
of the art in SOLAP, and we propose an environment that enables the analysis of spatial cubes
from different multidimensional data servers. The proposed framework also has a visual query
language for the spatial analysis. To validate the proposed environment, a practical example is
conducted and applied to accountability processes of the Court of Auditors of the Acre's
State, in Brazil. To perform such case study, the framework was extended to access cubes
from Microsoft SQL Server Analysis Services (SSAS) and GeoMondrian.
