If you have been a Salesforce Admin, Architect, or Consultant, you know data is messy and orgs are often not well documented.

In the Data Cloud and Agentforce trails, you’ve learned what these products can do and how to configure them. But what happens when your data source contains:

• Multiple email or phone number fields
• Inconsistently populated fields
• Bad data that drives up credit costs, lowers result quality, and erodes trust with stakeholders and customers?

What’s new in this edition:

• Hands-on exercises created by experienced practitioners to teach you how to assess and tackle messy, real-world data and data models
• A new customer case study: the journey to deploying a Sales Agent in production with Agentforce and Data Cloud despite legacy data quality issues
• A full-day format designed to blend concepts, practical application, and networking with peers

So if you attended one of the earlier DMO events in San Francisco, New York, London, or Melbourne, this will add on to your knowledge.  If you have not, don't worry, we will send attendees our recommended Trailmix to make sure you have the basics down.

Join us in Chicago for a day of learning, doing, and connecting with fellow Trailblazers. You’ll leave with the skills, templates, and confidence to address data quality head-on and deliver value with Salesforce’s latest AI and Data innovations.

Registration is required.  Space is limited.   Please only sign up if you know you can attend.