Anotação de dados para geração de indicadores de desempenho em organizações

Abstract

Key Performance Indicators (KPIs) are used by organizations to evaluate the performance of their activities and decision support. Based on these indicators, they review their processes seeking continuous improvement of activities. Dimensional data models structure data grouped into "facts" and "dimensions." Facts are represented by numeric fields that leverage the KPIs generation. There is, nevertheless, a need for good practices of naming and annotating data with metadata. Thus, different users better understand the dataset, avoiding divergent interpretations. We describe a semantic annotation process using data dictionary, which associates data with concepts, allowing the generation of KPIs. We present how these indicators are generated by semantic enrichment of data with ontologies.