• Start Time:
  • End Time:
  • Day:
    Day 1


  • Centralised Vs de-centralised models – allowing for self-service analytics and non-technical users to access insights and make strategic decisions quickly.  
  • Allowing for job growth and diversity as those without technical backgrounds can utilise data-led decision making.  
  • Where data models need to alter to fit this de-centralised shift – is data mesh architecture the answer for irregular, scattered data?  

Associated Speakers:

Peleja Filipa

Lead Data Scientist

Levi Strauss & Co.

Associated Talks:

11:15AM - Day 1

View Presentation: Data Democratisation – Distributing the Workflow

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