Data is the foundation of modern organizations, yet its growing scale and complexity make it increasingly difficult to manage. What data do we have? Where is it stored? How is it processed - and can it be trusted? These are questions many companies struggle to answer. Without full visibility into the data ecosystem, it's hard to make informed decisions, eliminate errors, or meet regulatory requirements.

The solution in such cases is a Data Observability platform - a tool that provides comprehensive visibility, monitoring, and diagnostics across the entire data landscape. This allows organizations to better understand how their data is used and governed, improving its quality and reliability.

In this session, we’ll share how we designed and implemented a Data Observability platform in Azure for a pharmaceutical client, with the core goal of understanding where data lives, what processes affect it, and who uses it. We’ll discuss the industry-specific challenges, technical complexities, and practical takeaways based on key monitoring pillars. This session will offer inspiration and real-world examples to help any organization gain better control over its data environment.