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metaphactory was used by this German industrial manufacturing company to build a bill of material application that consolidates customer and purchase information, as well as order history information. The application can be used to track customer-specific product configurations, plan the fulfillment for new orders, and determine the spare parts required for maintenance and service requests.

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metaphactory was used by this German industrial manufacturing company to build an industrial configuration management application which provides an overview into the product and parts features, requirements and dependencies. Product managers, support engineers, technical planners and technical maintenace specialists can use the application to maintain configurations, determine how components fit together and how they can be combined to create solutions that solve very specific customer needs or maintenance requests while staying within a predefined budget, and forecast materials and parts required for production.
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As a consortium member in the Geiser project, metaphacts focused on designing and implementing scalable backend services for the storage, retrieval, and processing of semantic geo data, by combining state-of-the-art semantic data management with Big Data technologies for scale-out and GPU acceleration. The technology was implemented in an operational planning use case where machine sensor data was integrated and correlated with technician operational schedules and spare parts management systems to improve maintenance operations, reduce wait times, and minimize downtimes.
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This global manufacturer of sensors and sensor solutions for industrial applications uses metaphactory to power a Knowledge Graph-driven collaboration platform for driving new projects. The platform allows employees to track new ideas and project proposals and contribute to existing projects, while management can gain a quick overview of proposed projects and define company-wide goals based on relevant proposals.
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metaphactory is used by this German industrial manufacturing company to power an asset monitoring application for valves. The application allows end customers to monitor entire production facilities, gain insights into the types of valves used and their characteristics (e.g., manufacturer, sensors, etc.), and determine when valves require maintenance or software updates.