Salesforce Data 360 is a powerful platform, but many developers struggle to identify when and where it should be used. While Trailhead modules and demos introduce its features, they often don't answer the most important question: When does Data 360 become the right solution?

This session takes a business-first approach to Data 360. Instead of exploring every feature, we'll focus on the real business challenges it is designed to solve and how it complements products like Sales Cloud, Service Cloud, Marketing Cloud, and Agentforce.

We'll begin with familiar problems, such as customer data spread across multiple systems, inconsistent customer views across teams, and the growing need for trusted data to power AI and personalized experiences. From there, we'll explore how Data 360 helps unify customer data, improve decision-making, and create a trusted foundation for automation and AI.

Through practical use cases, you'll learn how to recognize opportunities where Data 360 adds value, rather than trying to fit features into every project. We'll also discuss the developer's role in Data 360 implementations and how developers can work with architects and business stakeholders to design solutions that address real business needs.

The session concludes with a simple framework you can use to identify Data 360 opportunities in your own organization by starting with business problems, understanding data challenges, and selecting the right solution for the right use case.

Whether you're new to Data 360 or looking to move beyond Trailhead knowledge, this session will help you think beyond product features and approach Data 360 with a practical, solution-oriented mindset.