Tamar Gill: 80+ Step Data Validation Process

In this episode of State of the AI Union, we dive into the critical issue of data quality with Tamar Gill, CEO of eCore. Discover how bad data can impact your go-to-market strategies and learn actionable steps to improve your data validation processes. Key takeaways: 26% of CRM data is actionable, highlighting the severity of the data quality problem. AI can enhance lead scoring, but only if the underlying data is clean. Implement a thorough validation process before applying AI to your data. eCore offers free CRM validation assessments to help organizations understand their data quality. Timestamps: 00:00 Introduction 00:14 Meet Tamar Gill, CEO of eCore 00:50 The importance of data quality 02:20 The shocking statistics on CRM data 04:15 How to validate your data effectively 06:26 The role of AI in data validation 10:31 The 80-step process for data enrichment 12:13 Best practices for maintaining go-to-market data 15:45 The challenges of conflicting data from multiple sources 18:49 Personalization at scale: what to avoid What's your biggest challenge with data quality? Drop it in the comments! Subscribe for weekly insights on data management and AI strategies! #DataQuality #AI #GoToMarket