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Gartner Expert
Lizzy Foo Kune
Distinguished VP Analyst
Lizzy Foo Kune serves as a Distinguished VP Analyst and co-leads the Gartner Futures Lab. She specializes in guiding organizations to develop and optimize customer data and technology strategies that align with overarching enterprise objectives. Her research encompasses customer data management, with a particular emphasis on customer data platforms (CDPs), marketing data and analytics, and the integration of emerging technologies to enhance customer insights. Her work provides actionable guidance on marketing dashboard technologies, reporting processes, and the operationalization of marketing analytics.
Lizzy co-leads the Gartner Futures Lab, where she manages Gartner’s Maverick research program and spearheads the Future of the Customer initiative. Through her expertise, she enables organizations to leverage data-driven approaches for improved customer engagement and strategic decision-making.
Previous experience
Before joining Gartner, Ms. Foo Kune spent a decade building and leading data and analytics functions for marketing and advertising agencies. Her work centered on translating data into measurable business outcomes, with a strong emphasis on developing integrated measurement frameworks, overseeing technology implementation and governance, and advancing analytical methodologies. Through these roles, she drove the adoption of data-driven decision-making and ensured that marketing initiatives were strategically aligned with organizational goals.
Professional background
FRWD at bain & co., Senior Analyst, 2 years
MIT Media Lab, Research Assistant, 2 years
Nina Hale / Collective Measures, Supervisor, Analytics and Data Science, 3 years
Areas of coverage
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Marketing Technology
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Marketing Data and Analytics
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Marketing Leadership and Strategy
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Future-Fit Organization
Education
B.A., Wellesley College
Top Issues That I Help Clients Address
What are the best technologies for organizing and analyzing customer data?
What is a customer data platform, and how does it differ from other marketing and enterprise technologies?
How do I select and implement marketing analytics tools, service providers and technologies?
How do I build and deploy a marketing dashboard or report?
How should I measure and optimize marketing and advertising campaigns?