With the unprecedented surge in data—expected to grow by 22% this year according to the Salesforce State of Data and Analytics 2023 report—and the rapid evolution of AI, maintaining data quality and security has become more critical than ever. The AI and Information Management 2024 Report highlights that 52% of organizations encountered data quality issues
Salesforce Data Quality Challenges and AI Integration Salesforce is an incredibly powerful CRM tool, but like any system, it’s vulnerable to data quality issues if not properly managed. As organizations race to unlock the power of AI to improve sales and service experiences, they are finding that great AI requires great data. Let’s explore some
Long and Winding Data Success Road Fostering a Data-Driven Culture for Informed Decision-Making Enhancing trust in data goes beyond technical solutions; it hinges on cultivating a culture that instills confidence and fosters widespread adoption. Data culture, defined as the collective behaviors and beliefs of individuals who value, practice, and promote data usage for improved decision-making,
Data accuracy — and confidence in data accuracy — is a key component of trusted data. This makes Data Quality A Challenge and A Priority. Departments closest to the data, like data and analytics teams, have the highest confidence in their data accuracy. Confidence among line-of-business leaders is lower, revealing an opportunity to instill data
