Resumen

In an increasingly competitive context, SMEs in the oil & gas sector require analytical tools that integrate data and inform decisions; this study aimed to design and implement a KPI dashboard in Power BI to manage the procurement process of a Neuquén-based SME. A quantitative approach with qualitative support was applied: integration of 100% of historical data from the Finnegans GO ERP, stage-by-stage time modeling, interactive visualizations, and triangulation with interviews and a survey of internal clients. Based on 556 records, the average cycle time was 24.21 days and the main bottleneck was located between the signing of the Purchase Order (Nota de Pedido, NP) and the linking of the invoice (13.62 days), in a scenario of low request anticipation (53% with 0–3 days). We conclude that the dashboard provides actionable information to standardize approvals and reminders, establish minimum anticipation policies, manage suppliers by performance, and implement alerts and SLAs. Limitations include the single-case design and potential heterogeneity in ERP data-entry quality. Future lines include pre–post intervention evaluation, predictive analytics, and process mining.