Thriving data cultures prioritize inclusion, collaboration, and transparency over command and control. They work iteratively vs. trying to "boil the ocean." But of course, this is easier said than done, right?
Dec 2022 How to fuel innovation with agile data governance
Where does this data come from? Who created it? How has it been used? Like the origins of the universe, there can be quite a mystery surrounding the genesis of your company’s datasets. Understanding data provenance is the first step in answering those critical questions.
Join Tim, Juan, and Professor Deborah McGuinness of Rensselaer Polytechnic Institute, renowned AI scientist and pioneer in provenance research to discuss data provenance and why it matters to you.
The origin story and evolution of data provenance
Provenance standards every data person should know
Which fictional character has the best origin story
Focus on use cases: provenance is no different from other data initiatives
Be thoughtful about what provenance information you keep, what impact it has, and who has ownership or responsibility for it
Combine domain knowledge with provenance, and go a step beyond lineage
Provenance: “Who, what, when, where why. Not just one of those. All of those.”
See the catalog for data discovery, governance, access, and analysis.