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.
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.
Filters vs. Rules: What’s the difference?
In data management, maintaining a clean and accurate database is more critical than ever. Accurate data is the fuel for everything from AI output and personalization to business decisions.
How a Leading Home Builder Solved Their Data Chaos
A leading organization in the home building sector was grappling with significant data integrity issues.
Best Practices: Creating Deduplication Filters
Here at Cloudingo, we often get asked about the best set of filters to use in deduping. The answer is always, "it depends." Data is unique and specific to the operational needs of any organization.
The Hidden Costs of Duplicate Data: Why You Can’t Afford to Ignore It
Ever feel like you're wading through quicksand when trying to find a simple customer record? You know when you type in a name and get back a host of near matches, each with slightly different details?
Is Real-Time Merge for You?
Data cleansing and deduplication often seem like a one-time task—dedupe the data, and youre done. But data is dynamic, changing, and growing daily. Changing data comes with the potential to get into a bad state again rapidly.
