Blog
Data quality 101 for Salesforce and Marketo users.
What Salesforce Teams Really Think About AI in Data Management
Teams are testing AI agents, automation features, and new ways to reduce manual work. It is natural that data management is part of that conversation. If AI can help identify duplicates, flag incomplete records, or support cleanup tasks, many admins would welcome it.
Salesforce Data Quality Best Practices
In 2025, data quality is the backbone of every high-performing Salesforce org. But it is so much more than that. Clean, reliable data isn’t a luxury—it’s the fuel for AI, analytics, and sales productivity.
We Spent 40 Hours Cleaning Marketo and Still Missed Duplicates
Why one marketing ops team finally turned to Cloudingo for help.
You Know What’s Not Fun? Messy Data in a Regulated World
Let's be real. If you're working in an industry where the rulebook is thick and compliance is everything, the last thing you need is a hot mess of data causing headaches. We recently talked to a regulated company that was feeling this pain – big time.
Why Data Quality Is Critical in Healthcare: Insights from Charles Cox
In this expert interview, Cloudingo’s Director of Sales, Aaron Boone, connects with healthcare data veteran Charles Cox to unpack the mission-critical role of data quality in the healthcare industry. With decades of hands-on experience, Charles shares how poor data impacts patient care, insurance verification, and regulatory compliance—and why a proactive, continuous approach to data management is essential.
Is Data Efficiency the New Bottom Line? Why It’s No Longer a “Nice-to-Have”
Data management has always been a part of business operations. However, the landscape is shifting dramatically. It's no longer sufficient to simply possess data; the focus now is on managing it efficiently.
Why Duplicate Records in Salesforce Are a Good Thing
Most businesses see duplicate records in their Salesforce org as a problem to fix. An annoying side effect of disconnected systems, user errors, or messy data entry.
