SAP Geographical Enablement Framework Simplifies Spatial Processing of Enterprise Business Data

SAP recently announced SAP Geographical Enablement Framework, powered by SAP HANA; a new product for Geo-spatial dependent enterprises. The new product enriches business application with geographic data from geographic information systems (GIS), like Esri ArcGIS; while SAP HANA provides speedy Spatial Processing and Analytics to give real-time insight.

“In many asset-intensive industries such as energy, transportation and public sector, the ability to visualize business objects on maps is critical to improving efficiency and decision making,” said Irfan Khan, general manager and global head, Database & Data Management, SAP. “SAP Geographical Enablement Framework, powered by SAP HANA, can help organizations streamline the processing of both enterprise and spatial data for greater location awareness across business processes.”

HANA’s open platform certified with open Geospatial Consortium (OGC) enables organizations to easily consume spatial data from third-party spatial solutions that also adhere to standard. Synchronous and asynchronous imports of data from any spatial reference system (SRS) or coordinate reference system (CRS) will leverage access to global, regional and local geographic entities. In ancillary, native geo-coding delivered by SAP HANA smart data quality helps quick conversion of addresses to latitude and longitude within SAP HANA.

SAP bridges the gap between GIS and business data.  Native geospatial features can be used in union with BusinessObjects Cloud and BusinessObjects Lumira from SAP. This enhances geographic information and map visualizations. Business intelligence capabilities within SAP Digital Boardroom for business performance and metrics can be experienced with SAP BusinessObjects Cloud.

“Munich Re is one of the leading reinsurance companies in the world,” said Andreas Siebert, head of geospatial solutions at Munich Re. “We use spatial data processing capabilities in SAP HANA, in conjunction with predictive analytics, to assess risk — such as to identify natural hazard profiles for millions of locations around the globe, to efficiently coordinate loss adjustors after a major catastrophe or to calculate how many hospitals, schools and roads may be impacted by an impending hurricane or flood.”

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