Six sections built around one question: what is data, and why does it matter? You'll learn the four relationships everyone has with data - create, manage, understand, and use - how to tell trusted data from data that merely sounds trustworthy, and how to organize information so it tells an accurate story instead of a misleading one. The day closes by mapping functional, domain, and behavioral data competencies to real job roles, so you leave with language for describing data work you may already be doing under a different title.

Seven modules on how data survives changes in people, process, and technology without losing its meaning. The central concept is the data object: defining and managing information around real business meaning - a well, a shipment, an inspection - independent of whichever database, file format, or software happens to store it. You'll also learn to recognize data attenuation , the loss of content, context, or precision as data moves through systems, before it becomes an expensive problem to fix.

Six sections on who owns data, who is accountable when it's wrong, and what a working governance program actually requires. You'll learn the distinct roles of an executive sponsor, governance council, data owners, data stewards, and data custodians. The day grounds these concepts in real cases involving significant financial and regulatory consequences from data failures. These aren't abstract lessons. They're the kind of stakes data governance professionals manage - and why the role exists.

A grounding in how organizations manage data across its lifecycle: how it gets created, stored, kept accurate, and eventually retired. The full PPDM curriculum covers 17 components, from governance and architecture to security, master data, and data quality. This day focuses on the core building blocks a newcomer needs, not the full technical depth, so you leave with the vocabulary and the big picture, with room to go deeper later if the work calls for it.