In the context of advanced manufacturing, maintaining operational control and making informed strategic decisions is critical to achieving competitiveness and efficiency. Traditional decision-making processes often rely on fragmented data sources and delayed insights, hindering timely actions. This proposes a KPI-driven decision intelligence model that integrates real-time data visualization through dashboards to enhance strategic operational control in manufacturing environments. Key Performance Indicators (KPIs), such as production efficiency, downtime, and quality control, serve as the foundation of this model, guiding decision-makers by providing immediate visibility into critical operational metrics. The proposed model utilizes integrated dashboards that aggregate data from various manufacturing systems (e.g., Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and Supervisory Control and Data Acquisition (SCADA)), presenting a cohesive view of performance across the factory floor. These dashboards support decision intelligence by offering real-time updates, drill-down capabilities, and customizable reporting, enabling manufacturers to monitor KPIs continuously and make proactive decisions based on real-time data. This approach fosters operational improvements, such as increased production efficiency, reduced downtime, and optimized resource allocation. Strategic benefits include enhanced decision-making, agility in responding to disruptions, and better alignment of operations with long-term business goals. The integration of dashboards facilitates data-driven decisions that align with operational objectives, thus promoting continuous improvement and contributing to overall competitiveness. By providing actionable insights at the strategic level, the KPI-driven decision intelligence model helps organizations enhance their operational control and adaptability in a rapidly changing manufacturing landscape. The model’s ability to integrate with existing systems and offer real-time decision-making capabilities positions it as a valuable tool for modern manufacturers aiming to optimize performance and sustain competitive advantage.