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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.