Reducing Data Extraction Time to Empower KPI Analysis and Decision Making

This thesis aims to demonstrate how efficient Key Performance Indicator (KPI) creation leads to better analysis and aids management in strategic corporate decisions. To support this goal, the data extraction and KPI definition process of the administrative department of a major international manufacturing company in the sports sector was analyzed. To achieve the intended purpose, a new near real-time data pipeline ingestion was created, promoting KPI automation with a more innovative methodology. This study explores the areas of improvement on the existing method and proposes an improvement in the process. It points out the main issues with the old method and highlights how the new process brings benefits. The result, which involves near real-time KPIs, confirms a substantial improvement in data analysis and decision-making.