Break the Bad Data Cycle: Find, Fix, and Prevent Salesforce Data Quality Issues
Save Your Seat
Clean CRM data isn’t a one-time cleanup project. Even after duplicates are merged, incomplete records are fixed, and outdated data is addressed, new issues keep finding their way in. The challenge isn’t simply cleaning your data; it’s understanding where problems originate and preventing them from happening again.
In this joint session, DataGroomr and FormAssembly will show you a practical approach to improving Salesforce data quality from both directions. You’ll see how to quickly assess the health of your CRM, uncover the sources and processes contributing to data quality issues, address the data already in your system, and improve how new data enters Salesforce in the first place.
Attendees will learn:
- Why CRM data quality problems persist, even after cleanup
- How to quickly assess the health of your Salesforce data
- How to pinpoint where data quality issues originate
- How to prevent bad data at the point of collection
- How to combine upstream prevention and downstream remediation into an ongoing data quality strategy
If you’re responsible for keeping Salesforce data accurate, reliable, and ready for reporting, automation, or AI, this session will give you a practical framework for finding—and fixing—the problems that undermine data quality.