This paper presents a quick data fusion algorithm (known as predictive isotonic fusion) that is customized on a case-by-case basis. The accuracy of this data fusion for target group ratings was compared against a commercially available syndicated data fusion. The authorrs found that there was no negative trade-offs from the much faster execution times; in fact, there were significant improvements in some cases. Furthermore, this data fusion method can accommodate many more predictor/matching variables which makes even larger improvements possible.
This paper describes the analysis and interpretation of the results from about 500,000 mixed television-print schedules. The data were obtained by a fusion between the people meter panel and a consumer multi-media/product usage survey in Brazil. With this large body of data, the authors characterized the unique, exclusive contribution of magazines to the reach/coverage of mixed television/print schedules.
The paper presents new data from the four main Latin American economies (Argentina, Brazil, Colombia, Mexico) on what people really feel about the Internet, how they use it, and their motivations and concerns. It describes the defining characteristics of those consumers who like to purchase over the Internet compared to those who do not, and how to reach them. The findings are based on 3,600 Internet users, re-contacted from the main TGI Latina study. This specific Internet data was then cross analyzed with existing TGI Latina data, providing rich, in-depth understanding of what the new Internet customer is really like in Latin America.