This is a highly interactive and popular session in which attendees evaluate the options and best practices for common and advanced programs, people, tech, and management issues. Then, we debate the answers.

Modules may be voted on ahead of time by participants but could include:

- Who gets the final say in design decisions?
- Where should the data governance program sit in the org chart?
- Is there a role for DG professionals on software-as-service projects?
- Will AI improve data governance?
- Can AI be a data steward?
- Is data quality part of data governance, or is it a result of DG?
- How should enforcement work in a DG program?
- How long is too long for a naming standard?
- Is refactoring a help or a hindrance?
- Are data models part of data governance?
- Can an IT person be a good data steward/curator?
- Which is more important: performance or data quality?
- Is normalization the end of the world?
- Are naming standards just for the wicked?
- Should data governance teams review as-built systems?

- How much security should be in the database rather than the application?
- A faux NULLs dangerous?

Bring your votes, your debates, and your opinions.

This session would be very difficult for virtual attendees to participate in or hear unless the session room is designed for sharing audience audio with remote attendees.