In high-risk manufacturing industries regulatory bodies stipulate continuous monitoring and documentation of critical product attributes and process parameters. On the other hand sensor data of production processes can be used to gain deep insights into optimization potentials.
By establishing a central production data pool based on Hadoop and applying the Talend Data Fabric as universal data-driven integration architecture we are able to unlock both mandatory requirements of the GMP (Good Manufacturing Practice) as well as new business opportunities, enabling use cases like predictive maintenance, predictive quality assurance or open world analytics.
Learn how the chosen architecture enabled HERMES Arzneimittel to become data-driven and transform Big Data projects from challenging, hard to maintain hand-coding jobs to repeatable, future-proof integration designs.
Target Audience: CIO, Architect, BI/DWH-Manager, Quality Management Rep
Prerequisites: Big Data and Integration Basics are helpful