Location intelligence is a set of tools and techniques to in- tegrate a geographical dimension into BI platforms, aimed at enhancing their capability of better monitoring and interpreting business events. Though most commercial data warehouse tools have implemented spa- tial extensions to support GIS integration, the user experience with spa- tial data is still mostly limited to the visualization of maps labeled with numerical indicators. To overcome this limit we developed Lily, a geo- enhanced library that adds true location intelligence capabilities to ex- isting BI platforms. Lily provides end-users with a highly-interactive in- terface that seamlessly achieves a bidirectional integration between the BI and the geospatial worlds, so as to enable advanced analytical fea- tures that truly take into account the spatial dimension. In this paper we describe Lily from a functional and architectural point of view, and show an example where Lily is coupled with the Oracle Suite to be used for location intelligence in the eld of telecommunications.

Matteo Golfarelli, Marco Mantovani, Federico Ravaldi, Stefano Rizzi (2013). Lily: A Geo-Enhanced Library for Location IntelligenceData Warehousing and Knowledge Discovery. Berlino : Springer Verlag [10.1007/978-3-642-40131-2_7].

Lily: A Geo-Enhanced Library for Location IntelligenceData Warehousing and Knowledge Discovery

GOLFARELLI, MATTEO;RIZZI, STEFANO
2013

Abstract

Location intelligence is a set of tools and techniques to in- tegrate a geographical dimension into BI platforms, aimed at enhancing their capability of better monitoring and interpreting business events. Though most commercial data warehouse tools have implemented spa- tial extensions to support GIS integration, the user experience with spa- tial data is still mostly limited to the visualization of maps labeled with numerical indicators. To overcome this limit we developed Lily, a geo- enhanced library that adds true location intelligence capabilities to ex- isting BI platforms. Lily provides end-users with a highly-interactive in- terface that seamlessly achieves a bidirectional integration between the BI and the geospatial worlds, so as to enable advanced analytical fea- tures that truly take into account the spatial dimension. In this paper we describe Lily from a functional and architectural point of view, and show an example where Lily is coupled with the Oracle Suite to be used for location intelligence in the eld of telecommunications.
2013
Lecture Notes in Computer ScienceData Warehousing and Knowledge Discovery
72
83
Matteo Golfarelli, Marco Mantovani, Federico Ravaldi, Stefano Rizzi (2013). Lily: A Geo-Enhanced Library for Location IntelligenceData Warehousing and Knowledge Discovery. Berlino : Springer Verlag [10.1007/978-3-642-40131-2_7].
Matteo Golfarelli;Marco Mantovani;Federico Ravaldi;Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/192013
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