Abstract
The paper focuses on the implementation of new concepts and business models to increase data quality by defining clear rules for real-time error detection in an experimental decision support system (DSS), which helps financial decision-makers to analyse and process useful and business information from raw data, documents, personal knowledge and/or business models in order to identify and solve complex financial problems and to choose the best decisions.
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