What you'll learn

Data scattered across disconnected systems slows decisions, creates inconsistencies, and makes even simple tasks harder than they should be.

In this course, Data Sharing Explained, you’ll gain the ability to choose and maintain the right approach for combining data in your own situations.

First, you’ll explore why information ends up fragmented across tools and why combining it requires both record‑matching and ongoing upkeep.

Next, you’ll discover the spectrum of self‑service methods, from manual exports to no‑code connectors to AI‑assisted reconciliation, and what each is best suited for.

Finally, you’ll learn how personal data solutions scale to teams and enterprises, and when a self‑service approach should transition to a governed, IT‑owned one.

When you’re finished with this course, you’ll have the skills and knowledge of practical data integration needed to select, build, and sustain an approach that balances speed with long‑term reliability.