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Public AI explainer video

From Messy Data to Trusted Decisions

That shared customer or employee spreadsheet can make a confident decision wrong: duplicates, conflicting formats, and no clear owner. The answer is...

Prompt

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Bad data quietly makes even your best decisions wrong. This course starts with Master Data Management, identifying the reference data every system in your organization should actually agree on. You will structure a single shared data repository, learn the real dimensions of data quality, and build a data catalog that documents information and makes it genuinely discoverable. You will also define clear governance, spelling out the roles of data owner, data steward and a real governance committee, so accountability doesn't fall through the cracks. Your final project brings together MDM, quality and catalog into one coherent governance approach, and leads to your certification. You'll work through a dataset messy enough to be believable, duplicate records, conflicting formats and all, the way real organizations actually store things. If you want an organization to actually trust the data it runs on, this course hands you the framework. Let's get started.

Narration

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Video narration

That shared customer or employee spreadsheet can make a confident decision wrong: duplicates, conflicting formats, and no clear owner. The answer is not simply another tool. Trust starts with Master Data Management, or MDM: identifying the reference data every system should agree on and bringing it into one shared repository. Then you measure data quality, document meaning in a data catalog, and make it discoverable. Accountability has a home too: the data owner makes decisions, the data steward keeps data usable day to day, and the governance committee resolves issues across teams. In this course, you'll apply the framework to that same messy list-duplicates and conflicting formats included. Your final project connects MDM, quality, cataloging, and governance into one approach, leading to certification. Turn the list everyone argues over into shared, findable data with an owner-and decisions people can trust. Let's get started.