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Daniel Brooks

Panel Speaker

Panel Speaker

Panel Speaker

Daniel Brooks
Daniel Brooks
Daniel Brooks
  • Trusted by global innovators

  • Rays
  • high-impact LED experiences

  • Rays
  • technology leaders

  • Rays
  • Forward-thinking organizations.

  • Trusted by global innovators

  • Rays
  • high-impact LED experiences

  • Rays
  • technology leaders

  • Rays
  • Forward-thinking organizations.

  • Trusted by global innovators

  • Rays
  • high-impact LED experiences

  • Rays
  • technology leaders

  • Rays
  • Forward-thinking organizations.

Bio:


Daniel Brooks is a respected data science and analytics leader specializing in transforming complex data into actionable business intelligence. His work focuses on helping organizations harness advanced analytics, machine learning, and data-driven decision frameworks to improve performance, reduce risk, and drive strategic clarity.


With more than twelve years of experience working across finance, healthcare, and technology sectors, Daniel has led data initiatives for global enterprises and high-growth companies alike. He has partnered closely with executive teams to build analytics infrastructures, implement predictive models, and foster data-literate cultures that enable faster, more informed decision-making at every level of the organization.


At the core of Daniel’s approach is the principle that data should be accessible, interpretable, and aligned with real-world outcomes. His work emphasizes transparency, governance, and responsible data use, ensuring that analytical insights are trusted, explainable, and capable of supporting sustainable long-term growth.



Keynote Day 2


Turning Data into Strategic Advantage


Turning Data into Strategic Advantage explores how organizations can move beyond dashboards to build analytics capabilities that directly influence strategy and execution. The session focuses on practical methods for operationalizing insights, aligning data initiatives with business goals, and creating decision systems that are both scalable and reliable.

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