🌟 Dive into Effective Data Management Practices: This session is for any Salesforce Admin, Consultant, Business Analyst, Data Specialist, or Consultant looking to refine their strategies in identifying and managing key data fields for business and AI projects.

🔑 What to Expect:

• Proven Methods: Gain insights from Salesforce's internal leaders and a seasoned global data quality manager, all of whom have firsthand experience in establishing effective data strategies.
• Actionable Strategies: Receive practical guidance tailored to enhancing your organization's data management practices.

🔍 What We Will Cover:

• Identifying Essential Data Fields: Learn methods to pinpoint critical data elements that impact business operations and AI initiatives.
• Assessing Data Reliability: Explore techniques to assess the accuracy and consistency of your data.
• Verifying Data Cleanup Effectiveness: Discover how to ensure your data cleanup efforts achieve desired outcomes.
• Ensuring Ongoing Data Reliability: Discuss strategies to monitor and maintain data integrity over time.
• AI and Data Dictionaries: Delve into the importance of robust data and metadata for supporting AI initiatives and how to effectively prepare your data landscape.

🎤 Speakers:

• Courtney Prince: Head of Data Strategy and Operations at Salesforce, leading internal data governance initiatives.
• Caroline DeBattista: Data Strategy & Operations Director at Salesforce, specializing in internal data frameworks.
• Stuart Price: Global Data Quality Manager at Azets with extensive experience across industries, focusing on data quality and governance.

This session will be recorded, offering a chance to revisit the content. However, live participation is highly encouraged for direct interaction and to address your specific questions.