Most data quality management tools can handle the standard stuff, like normalizing state and country, fixing capitalization, and cleaning up phone number formats and email syntax. However, when you go beyond those basics, you’ll find many common data quality issues that aren’t trivial to fix—the details that can make or break your data quality software. Here are eleven common challenges RevOps professionals often face. → Read more
Webinar: How to Marie Kondo your martech stack An overly complex martech stack can spark anything but joy. Listen to Ed as he walks through concrete steps to overcome your “technical debt” and operate a high-performing, cost-effective martech stack. → Listen to the talk