Successfully Activating Data Communities in Decentralised Organisations

Join an exclusive peer discussion for senior data and AI leaders.

This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.

 

DataIQ clients: Please secure your place via the DataIQ Hub.

 

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Questions:  

  1. How do decentralised organisations connect and structure dispersed data and analytics talent into a cohesive community? 
  2. What keeps data communities engaged and actively collaborating beyond formal roles and how is momentum sustained?  
  3. How are organisations approaching resourcing for data community roles? 

 

Who should attend:  

This session is designed for senior data and AI leaders who:  

  • Operate within large and complex, decentralised global organisations, preferably in consumer good manufacturing  

And

  • Are responsible for building, scaling, or championing internal data and analytics communities 

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Accelerator format:

These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case. 

 

In each session you can expect:

 

  • Prequalified group of experts in the area
  • A round of introductions to each participant (up to 10 people)
  • An in-depth discussion with inputs from cross-industry participants
  • Concrete take-aways and action plan for moving forward

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How to apply if you are not a client:

If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.

DataIQ clients: Please secure your place via the DataIQ Hub.

Request attendance

Local Time

  • Timezone: America/New_York
  • Date: 07 May 2026
  • Time: 11:00am - 12:00pm