Easily link SAS and Esri software without having to write – and rewrite – custom code. 

Alleviate the need for customized data transfers and easily exchange spatial data between ArcGIS10 – the market leading geographic information system (GIS) software from Esri – and SAS.

Sound intelligence for organizational decisions

Extends your ability to consider numeric, textual and spatial data together – expanding the breadth of information you can use to answer a wide variety of questions by combining SAS and Esri's best-of-breed software.

Industrial strength graphics

Enables you to include powerful analytical and business intelligence graphics on your maps for immediate recognition and understanding.

Current & future compatibility

The cooperative alliance between SAS and Esri and joint development of SAS Bridge for Esri assures that SAS and Esri's current and future architectures have been taken into consideration.

Bulk loading & other performance features 

Supports multiple loading options for moving refined data from SAS into third-party data stores, including bulk loading, a multithreaded read interface, support for automatic partitioning, ability to pass functionality to the database, and ability to directly control processing. 

Metadata integration

Supports easy reuse of DBMS metadata for multiple analytical purposes.

Data integrity and security

Accepts encoded DBMS passwords so they don't appear as clear text in SAS programs. Uses authentication and login information stored in the SAS Metadata Repository or requirements provided by each database system.

Link spatial, numeric and textual data through a single interface to improve efficiency, produce more intelligent results and communicate results more effectively.

Increase efficiency. 

Easily link your tabular SAS data and analytical results with the spatial data of the ArcGIS environment. Queries from Esri can then inherently consider the attributes stored in your SAS environment. The SAS Bridge for Esri also lets you automate processes, so there's no need to rewrite customized programs every time your source data changes. Simply link together relevant tables and their resident servers and get more comprehensive information to answer your geospatial questions. Having access to richer data means greater understanding and, ultimately, better decisions.

Expand your capabilities. 

Extend your business intelligence and analytic capabilities to get results that inherently consider spatial entities. You can single out your discoveries, going beyond simple relationships to get to true, measurable results. Use SAS to create accurate representations of current and future events – with statistically sound metrics, probabilities and forecasts – and then show the results spatially. Then visualize these attributes as a thematic layer on a map and/or use them as input for spatial analysis. You can also extend your use of ArcGIS by ensuring that spatial proximities, adjacencies and autocorrelations are available for your analysis in SAS.

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