Elizabeth Rasmussen

Global Data Analytics Lead
Takeda

Making environmental data reliable, usable, and decision-ready for Takeda

Elizabeth Rasmussen works at the intersection of environmental sustainability, data systems, and operational performance, focusing on how organizations can make complex environmental data usable, reliable, and actionable.

Her work centers on building and scaling environmental, health, and safety data systems that support enterprise-wide sustainability strategies. This includes developing frameworks for tracking emissions, water use, waste, and broader environmental impacts, while ensuring that these systems are streamlined, consistent, and aligned with business needs. In large, complex organizations, this kind of infrastructure becomes critical—enabling teams to move from fragmented data collection to integrated decision-making.

A key part of her impact lies in simplifying complexity. Environmental data often sits across multiple systems, teams, and geographies. Her work focuses on bringing that data together in a way that is both technically rigorous and practically useful—supporting everything from regulatory compliance to long-term sustainability planning.

With a background in engineering and continuous improvement, she approaches sustainability as a systems problem. This includes applying structured methodologies to improve processes, enhance data quality, and build scalable solutions that can evolve over time.

Her work reflects a broader shift in sustainability: from isolated reporting efforts to integrated data ecosystems that support transparency, performance, and informed decision-making across the organization.

Found her interesting? Connect with Elizabeth on LinkedIn.

What I’d love to discuss during the event

  • As sustainability data becomes more central to decision-making, what does a truly useful environmental data system look like inside a large global organization?
  • Many companies are collecting more EHS and sustainability data than ever, but far less of it actually drives action. Where do you think the real gap lies between reporting and operational decision-making?
  • In complex manufacturing environments, how should companies think about building data systems that are not just compliant, but flexible enough to support long-term sustainability strategy?
Area of Expertise
Continuous ImprovementData IntegrationEHS DataEnvironmental MetricsSustainability Data Systems

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