Overview

BlackBelt Fusion is a cutting-edge manufacturing intelligence platform designed to streamline productivity, reduce engineering cycle-time, and improve product quality. It leverages in-memory analytical processing to support full product lifecycle intelligence, offering a robust set of advanced manufacturing analytics. BlackBelt Fusion integrates seamlessly with Azure Cloud, on-premise, and hybrid deployments, providing a comprehensive solution for complex electronics manufacturing.

Features

• In-Memory Analytical Processing: Delivers lightning-fast insights by supporting full product lifecycle intelligence with a simplified data model and pre-built metrics.
• Digital Twin: Provides a complete digital twin of product performance, fusing test, MES, and PLM data to deliver rich insights into product lifecycle performance and manufacturing efficiency.
• Automated Insights and Live Data Monitoring: Offers automated insights and live data monitoring, ensuring real-time visibility into manufacturing processes.
• Interactive Dashboards: Enables users to identify patterns and drive business improvement through interactive dashboards and analytics.
• Disruptive Architecture: Utilizes proprietary BlackBelt Enterprise Data Symphony technology to synthesize data without disrupting existing silos, ensuring speed, reliability, and flexibility.
• Secure Deployments: Supports DISA STIG compliant VMs for secret, secure, and airgapped deployments, ensuring data security and compliance.

Benefits

• Faster, Better Insights: Accelerates development time by simplifying data complexity, allowing organizations to quickly develop customized analytics without complex queries.
• Enhanced Product Quality: Improves product quality and manufacturing efficiency by providing full visibility into the product lifecycle and history.
• Data-Driven Culture: Fosters a data-driven culture by combining a robust data model with intuitive user experiences, making rapid business intelligence available to all users.
• Reduced Cycle Time: Dramatically reduces troubleshooting and engineering cycle time by bridging the gap between process and quality, enhancing overall equipment effectiveness (OEE) and other key performance indicators (KPIs).
• Cost-Effective: Lowers development and engineering costs by providing efficient business intelligence and deep-dive analytics, making data analytics more accessible and affordable.