DGIQ-W23: Scaling Master Data Management via Data Mesh

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In this session, we will share more about our MDM journey that leveraged Data Mesh principles to break through the scalability challenges in launching an enterprise-wide program in highly matrixed and complex life science organizations.
 
In our use case, we will share how we leveraged data mesh to achieve scale via:
  • "Domain Ownership" for localized and enterprise data stewardship
  • "Data as Product" to build highly reusable enterprise data products that utilize interoperable domain data products
  • "Self-Serve Data Platform" to enable master data management across the enterprise
  • "Federated Computational Governance" to achieve the scalable process using local and global data mastering rules and data exchange policies
  • Program governance to measure the ROI (return on investment) for the business
  • Incremental roadmap with metrics to measure program success

Speaker: Samia Rahman

Director of Enterprise Data Strategy and Governance
Seagen

Samia Rahman is the Director for Enterprise Data Strategy and Governance at Seagen and a former Data Mesh Architect at ThoughtWorks. She has launched several data mesh initiatives in healthcare and life science companies that enable innovation at scale. She partnered with the founder of Data Mesh, Zhamak Dehghani, since 2019 to define the pragmatic implementation of data mesh that results in the return on investment that organizations seek to achieve with data.

Speaker: Marcie Stoetzel

Principal Program Manager of Enterprise Core Data Management
Seagen

Marcie Stoetzel is a Principal program manager at Seagen leading the Enterprise Core(Master) Data Management initiative. With a background in master data management along with data and analytics in the Commercial domain of life sciences, she applied data mesh principles to define and execute the social and technical architecture necessary for a scalable MDM program accounting the people, process, and technology.

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