Agentforce's Best Friend: Clean, Reliable Data Today on the Salesforce Admins Podcast, we talk to Lizz Hellinga, a Consultant and Salesforce MVP. Join us as we chat about why clean data is essential for leveraging generative AI and how you can get your organization moving. You should subscribe for the full episode, but here are a few takeaways from our conversation with Lizz Hellinga. Generative AI thrives on clean data Lizz has a clear message: clean data isn’t optional anymore. She stresses, “If your data isn’t ready for generative AI, your business isn’t ready.” As organizations eagerly adopt generative AI tools, Lizz cautions that the insights and outputs from AI are only as reliable as the data feeding into it. Simply put, poor-quality data undermines the potential of these powerful tools. What constitutes “bad data”? Bad data comes in many forms, and Lizz highlights the usual suspects: Duplicates Inaccuracies Incomplete records Outdated information Hoarded data The concept of hoarded data stands out as particularly problematic. Many organizations have accumulated large amounts of data they no longer use but are reluctant to delete. According to Lizz, the solution starts with collaborating with stakeholders to establish a robust data governance policy that defines data quality standards and retention policies. Reporting, she adds, can be a powerful tool to illustrate the value of clean data and spotlight areas of improvement. Steps to prepare data for AI Lizz has four steps you can take to start your journey toward clean data: Document your processes: Map out key workflows to find the key points where data enters the system. How can you make it easier to get high-quality data at these moments? Engage your stakeholders: Explain why clean data is vital for AI initiatives. Use examples to illustrate how high-quality data enables AI to deliver actionable insights that can make their work easier and more efficient. Prioritize key areas: Focus on cleaning data critical to processes where AI will have the most impact, such as sales or customer engagement. Start with essential objects and gradually expand to other areas. Leverage your tools: Use reports, dashboards, and tools like Salesforce’s “Clean Your Room! Dashboard” to gamify data-cleaning efforts. Friendly competitions can motivate teams to tackle bad data without feeling overwhelmed. Proactive data management strategies Preventing bad data is just as important as cleaning up existing records. Lizz suggests: Using paths and dynamic forms to streamline data entry. Highlighting key fields on page layouts to emphasize their importance. Integrating email tools like Einstein Activity Capture to ensure accurate, up-to-date information. Customizing user interfaces to make data entry intuitive and error-free. Why data quality matters Clean data isn’t just about fixing reports; it’s about future-proofing your business. “Data is an asset,” Lizz explains. For organizations looking to adopt AI, ensuring that data is accurate, current, and relevant is a crucial first step. Without it, even the most advanced AI tools won’t deliver meaningful results. Get started today Lizz advises admins to start small but think strategically. Build baseline reports to identify problem areas, engage stakeholders to define what good data looks like, and focus on key processes that need improvement. With these steps, you’ll not only prepare your organization for AI but also elevate your role as a Salesforce Admin by demonstrating leadership in data governance. We get into a lot of specifics with Lizz on the podcast, so be sure to take a listen to learn more. And make sure to subscribe to the Salesforce Admins Podcast so you never miss an episode. Podcast swag Salesforce Admins on the Trailhead Store Resources Podcast: Sarah Flamion on Generative AI McKinsey Article: The data dividend: Fueling generative AI Clean Your Room! Dashboard Social Lizz on LinkedIn Salesforce Admins on LinkedIn Salesforce Admins on X Mike on Bluesky social Mike on Threads Mike on X Full show transcript Mike: This week on the Salesforce Admins Podcast, we are talking with Lizz Hellinga about why clean data is so important for AI. Lizz is a consultant and Salesforce MVP, and before you think, “I can skip this,” it’s probably going to be boring. Let me tell you, this is a fun conversation because you’re going to learn about different types of bad data. One of them is super fun to understand. Also, Lizz shares with us a lot of tips and tools for cleaning up your bad data, and also making things a little bit more easy for your users, so I really enjoy this conversation. But before we get in the episode, can you just be sure that you’re following the Salesforce Admins Podcast on iTunes or just wherever you get your podcast. That way, you get a new episode every Thursday right on your phone. So with that, let’s get to the ...
