Measurement of Data Consumer Satisfaction with Data Quality for Improvement of Data Utilization

Abstract

Data quality is antecedent to data utilization. Satisfaction of data consumer with the data quality is a significant factor for active data utilization. This paper perform a study of data consumer satisfaction level towards data quality in using the information systems among the Malaysian disaster management agencies. The objectives of this study were to identify data consumer perceived data quality constructs that needed for active data utilization, to measure the satisfaction level of data consumers with the quality of data, and to investigate the significant of differences of overall satisfaction of data quality constructs among data consumers from different administrative levels. A stratified random sample design was used that involved 45 respondents from the different national disaster management agencies. The analysis on the perception of the data consumers on important data quality constructs revealed twelve from fifteen constructs that important for them; accessibility, timely, accuracy, completeness, valid, interpretability, consistency, clarity, relevant, comparability, usability and trustworthy. However, results from the Important-Performance Analysis evaluation considered only eight data quality constructs that significant for them. Data quality construct namely timely, accuracy and consistency were well maintained but trustworthy, relevant, usability, completeness and accessibility need to be improved. The overall satisfaction rate was capped at 65.8% based on Consumer Satisfaction Index and 63.96% based on Employee Satisfaction Index, respectively. This indicates that overall data consumer satisfaction was at moderate level. The results also indicates that there was no difference of overall perceived performance or satisfaction of data quality constructs among data consumers from different administrative levels.