The Research Institute on Addictions (RIA) at the University at Buffalo, State University of New York, is using SPSS predictive analytics software to improve survey research. SPSS has enabled RIA to increase the volume and quality of survey research projects it can process and to report reliable results more quickly.

RIA has been a leader in the study of addictions since 1970 and a research center of SUNY-Buffalo since 1999. Supported by multi-year federal and private foundation grants, RIA studies the etiology and effects of addictions to alcohol, drugs and gambling.

RIA found that the software it was using to collect and process survey research had numerous limitations, including the inability to integrate with its home-grown information systems. RIA turned to SPSS Dimensions, a comprehensive software application suite for survey design, data collection, data management, analysis and reporting of survey research results. Due to its open architecture, Dimensions integrates with RIA's existing systems, and enables RIA to collect and analyze more data — even from disparate sources — than ever before. As a result, RIA can deploy more research projects with fewer resources, projects are completed more quickly and results are more accurate.

"The research of disease and addiction has no tolerance for bottlenecks in data collection, management or analysis," says George Gogos, senior programmer at RIA.






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