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Tuesday, April 21 • 11:45am - 12:25pm
Big Pharma Problems. Big Graphs: Creating the Merck Manufacturing Mesh

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Merck not only operates a global pharmaceutical manufacturing network, but also a global network of 400+ data systems and growing. Harking back to the origins of the world wide web, Merck has created a unified data model to link, expose, and contextualize its global network of manufacturing data. The year: 1989. A young(er) Tim Berners-Lee, working at the research-focused CERN, submits a modest proposal to solve to organization's growing knowledge and information management problem. His memo, titled ""Information Management: A Proposal"" focuses on creating a non-hierarchical web to connect the CERN's heterogeneous systems. With management's only comment ""Vague but exciting..."" scrawled across the top of the page, this would serve as the basis for the creation of the World Wide Web.

Fast-forward 30 years. A group of engineers and scientist, working at the research-focused pharmaceutical company Merck, grows tired of typing the phrase ""LEFT OUTER JOIN"" in order to link and contextualize the company's many data sources. Consequently, they set out to create a unified manufacturing information model. With attempts at relational data models failing, the team turns graph databases to better capture the complex nature of their heterogeneous, inconsistent schemas-based, and non-hierarchical data systems. With nothing written across any memos (because it's 2019 and we use email now), their efforts serve as the origins of the Merck Manufacturing Mesh. This mesh brings together a wide array of domains including MES, LIMS, and ERP data to create a more intuitive data model free of the need for primary keys. Leveraging the efficiency of index free adjacency, the Mesh will help engineers and scientist quickly answer questions regarding batch genealogy, material impact assessments, end-to-end product lead times, and much more."

Speakers
avatar for Marcus Adams

Marcus Adams

Associate Director, Digital Proactive Process Analytics, Merck & Co.
Marcus Adams earned his BEng and MS in Chemical Engineering from the University of Delaware and Villanova University, respectively. His more than decade of experience at Merck spans the bio-pharmaceutical spectrum and includes experience in pre-clinical PK/PD modeling, product commercialization... Read More →



Tuesday April 21, 2020 11:45am - 12:25pm
Room 2