This technical report is based on four our recent articles:"Data fusion of pre-election gallups and polls for improved support estimates", "Analyzing parliamentary elections based on voting advice application data", "The Finnish car rejection reasons shown in an interactive SOM visualization tool", and "Network visualization of car inspection data using graph layout". Neural methods are applied in political and technical decision making. We introduce decision support schemes based on Self-Organizing Map (SOM) combined with other methods. Visualizations based on various data-analysis methods are developed. In political decision making we have examples from one parliamentary election and one presidential election utilizing opinion data collected beforehand. In technical decision making we concentrate on rejection reasons in car inspection data. This technical report is a summary of our recent non-nuclear studies
