How to Use AI in Business: Start With Clean Data, Not Fancy Tools

In this solo episode of the Everyday Business Problems podcast, Dave Crysler dives into the foundational role clean data plays in leveraging advanced analytics and AI tools. Sharing real-world client stories and personal insights, Dave unpacks how poor data governance and integrity issues can derail even the best tech investments. He outlines a practical five-step framework to help you clean up your data, tighten your systems, and future-proof your business for smarter decision-making.

What You’ll Discover:

• Why clean, reliable data is a non-negotiable for successful AI and analytics adoption.

• How to identify common signs of data integrity and governance problems.

• Real examples of how siloed systems and duplicate records damage trust in reporting.

• The difference between data cleanup and governance, and why both matter.

• A five-step framework: standardize, assign ownership, centralize, validate, and maintain.

• How to shift from siloed efficiency to cross-functional value creation.

• Why defining a clear outcome is just as important as selecting the right AI tool.