What’s the biggest data quality headache in your Clay workflows?

👋 Hi everyone! 🌎 Location: Pittsburgh, PA 👩‍💻 Company / Role: Founder & CEO of eCore, a proud Clay partner! 🔎 Background: I spent 15 years in the nonprofit world before moving into tech and eventually starting eCore. We help GTM teams clean, validate, and enrich their data so they’re not building campaigns on outdated or inaccurate information. We’re big believers that AI is only as good as the data behind it. 🧱 Clay Goals: We’re excited about our partnership with Clay! We help Clay users get more reliable data through real-time employment verification and job change monitoring. Looking forward to learning from the community, sharing what we’ve built, and finding ways to help Clay users get more out of their workflows. 🌟 Fun Facts: I’m a mom of four, a bootstrapped founder, and a big believer in remote work. I also love bringing people together over good food and Georgian wine! 🍷 🔥 Burning question: What’s the biggest data quality headache you’re running into when building workflows in Clay? I’d love to hear what people are struggling with!