Data quality applied to an academic business intelligence solution: Lesson learned

Business intelligence covers a set of technologies allowing the extraction, transformation and loading of data into a data warehouse, and presents the information in a way that allows managers of an organization to make decisions. However, stored data in a warehouse does not always have the expected quality required and this can lead managers to make wrong decisions. The objective of this work is the development of a quality model applicable to an academic business intelligence solution, based on the ISO/IEC 25000 series of standards. In this research, an analysis of the data quality requirements was done, as an input for the respective evaluation. The results obtained were presented in a radar chart, along with a textual analysis. It could be concluded that data quality models and standards could be used successfully for evaluating the quality of an academic BI system, and this information is important for identifying and mitigating risks inherent to data and risks that depend on an information system.