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                <text>Optimizing the Procurement Process through KPI Implementation in a Power BI Dashboard for a Neuquén-Based SME</text>
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                <text>Walter, Abril Agostina</text>
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                <text>Esparza, Brisa Abril</text>
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                <text>Sepúlveda Ulloa, Bianca Camila</text>
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                <text>Ratto, Nicolás</text>
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                <text>Ares, Matías</text>
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                <text>In an increasingly competitive context, SMEs in the oil &amp; 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.</text>
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                <text>In an increasingly competitive context, SMEs in the oil &amp; 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.</text>
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                <text>Universidad Nacional del Comahue. Facultad de Lenguas</text>
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                <text>2025</text>
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                <text>Economía de la energía</text>
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                <text>Durante el año 2025, la Cátedra de Inglés de la Facultad de Economía, a cargo de la profesora María Belén Martínez del Departamento de Idiomas con Propósitos Específicos, desarrolló un trabajo basado en proyectos. A lo largo del cursado, los estudiantes llevaron adelante proyectos de investigación–servicio en los que articularon sus saberes de inglés con los contenidos propios de sus carreras y con la resolución de problemáticas reales de la comunidad. El proceso incluyó la lectura y el análisis de textos académicos en inglés para la elaboración del marco teórico, la selección de un problema relevante, el diseño e implementación de una metodología de investigación, y la comparación de resultados con los aportes de autores especializados. Cada proyecto culminó con la redacción de un informe final en formato de paper, presentado en español e inglés, siguiendo una plantilla estandarizada.</text>
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                <text>Los autores</text>
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                <text>&lt;a href="https://bibliotecadelenguas.uncoma.edu.ar/items/show/968"&gt;https://bibliotecadelenguas.uncoma.edu.ar/items/show/968&lt;/a&gt;</text>
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        <name>oil &amp; gas procurement</name>
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