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.