The Knowledge Graph application built on top of metaphactory by this international financial services provider enables a 360° view on customer data and allows employees to directly interact with and explore all data through a unified interface. The application provides a consistent user experience across pre-built data lenses and delivers embedded insights to end users. It supports answering day-to-day business questions and helps business executives gain insights into complex data through intuitive, natural language search interfaces.
metaphactory bridges the gap between business users and technical users and allows this international financial services provider to build harmonized domain-specific semantic models which all relevant stakeholders can contribute to. This is achieved through cross-functional and cross-departmental collaboration via a common, intuitive interface.
In the DIESEL project we helped develop a generic keyword search and question answering infrastructure for distributed and structured enterprise data. DIESEL can help data-driven companies reuse company internal knowledge across departments and business units, increase the productivity of their employees, reduce parallel development, and make more efficient use of company-internal resources.
metaphactory is used by the sales and marketing team at this large pharmaceutical company to assess the buying profiles of their enterprise customers, determine buying preferences, and identify relevant sales trends. By offering insights into customer profiles, purchasing history and sales channels, and correlating this information with product specs for the pharmaceuticals they manufacture, our customer can easily identify key segments for particular products and focus their business efforts strategically.
metaphactory is used by this German industrial manufacturing company to power a business application which allows end users to monitor the status, usage patterns and maintenance schedules of CT scanners and other medical equipment. By providing quick insights into the product lifecycle of machines through an intuitive and interactive dashboard, the application supports use cases such as predictive maintenance and allows the customer to optimize support processes.