🔥 Core Debate Topics

• Are Data Products Truly Products?
• Product thinking vs. service thinking in data teams
• What makes a “data product” a product?
• Who Owns the Data Product?
Data engineers? Analysts? Product managers? Business units?
• Should there be a dedicated data product manager role?
• Centralized vs. Decentralized Data Product Development
• Should every team own their own data products?
• The role of data mesh and federated ownership
• Data as a Product vs. Data as an Asset
• What does it mean to treat data like a product?
• Is “data as an asset” still a valid framing?
• Data Product Quality: Who Sets the Standards?
• SLAs, SLOs, and accountability for data reliability
• The Role of Documentation: Essential or Overkill?
• How much is enough? Who should maintain it?
• Self-Service Analytics: Holy Grail or Never-Ending Headache?
• Does empowering users with data products really work?
• Productizing ML/AI Models: Is That a Data Product Too?
• Where do data products end and AI products begin?