Data quality assessment in performance measurement

• Autor(es): Sousa, Sérgio ; Nunes, Eusébio P. ; Lopes, Isabel da Silva
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/1822/19894
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Performance measure(s); Data quality; Uncertainty; Fuzzy sets
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

Data quality is a multi-dimensional concept and this research will explore its impact in performance measurement systems. Despite the large numbers of publications on the design of performance measurement systems (PMSs) and the definition of critical success factors to develop Performance Measures (PMs), from the data user perspective there are possibilities of finding data quality problems, that may have a negative impact in decision making. This work identifies and classifies uncertainty components of PMSs, and proposes a qualitative method for PMs’ quality assessment. Fuzzy numbers are used to represent PMs’ uncertainty and a method is proposed to calculate an indicator of the compliance between a PM and a target value that can serve as a risk indicator for the decision-maker.