Data collaboration is about building a culture where teams work together to solve real problems using their datasets and expertise, rather than just sharing numbers or commenting in a doc. It involves setting up the culture, context, and workflows for meaningful contributions, even across time zones. Data collaboration is proactive, intentional, and dynamic, aiming to unlock insights that drive action without endless meetings or PDF ping-pong. It requires tools that facilitate real-time collaboration, flexible sharing, drag-and-drop app building, comment threads, multimodal workflows, API support, data privacy, and security. By implementing these elements, teams can create better workflows, make better decisions, and achieve their biggest business goals.