Our November ’26 release introduces related record counts that can help determine. which duplicate becomes the master, which field values to retain, and what to prioritize during review.
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DataGroomr Blog
Discover practical ideas and proven best practices to help you build cleaner Salesforce data, improve CRM performance, and create a more trusted foundation for sales, marketing, service, and AI.
New DataGroomr AI Agent analyzes and diagnoses data quality issues, configures models and rules, takes action on Salesforce data, and automates ongoing data quality processes.
In this tutorial, I’ll walk you through building Salesforce duplicate reports and a dashboard from your DataGroomr data, using nothing but standard Salesforce reporting.
In this tutorial, I’ll walk you through building Salesforce duplicate reports and a dashboard from your DataGroomr data, using nothing but standard Salesforce reporting.
Enrichment results are now safely staged in DataGroomr before anything is written to Salesforce. You can choose to write results automatically or review them first.
DataGroomr Recognized for Leading the Charge on Agentic Transformation within Salesforce Ecosystem.
Without accurate, up-to-date information, teams are making decisions based on an inaccurate image of their customers and pipeline.
From sales to marketing and customer service, artificial intelligence is reshaping how organizations use Salesforce.
Imagine a new way of working… What if you could simply ask DataGroomr to help you find what you need, understand your data, and take action? And what if you could catch potential Salesforce import problems before they happen? This release delivers both.
In the article I cover four of my favorite ways DataGroomr and AI work hand-in-hand to save you time and get cleaning your data right away!
Validate campaign members directly from the Campaign page and send only to verified email addresses.
The new capabilities make customer data verification smarter and more efficient, helping organizations build trusted customer data across Salesforce.
One of our biggest releases of the year delivers powerful enhancements to rules, enrichment, AI, and overall usability.
The true nature of duplicates is that they span across objects. These cross-object duplicates are harder to detect, are harder to merge, and can be very disruptive to future processes.
New capabilities provide a centralized view of CRM health, helping organizations measure, prioritize, and improve Salesforce data quality.
New capabilities provide a centralized view of CRM health, helping organizations measure, prioritize, and improve Salesforce data quality.
Dirty data isn’t just a maintenance problem, it’s a data collection problem. Learn how form design, validation, and Salesforce connectors stop dirty data at the source.
Before questioning your AI strategy, it’s worth taking a closer look at the data foundation supporting it. Often, the biggest obstacle to successful AI outcomes isn’t the model; it’s the quality of the Salesforce data behind it.
While the previous release introduced enrichment orchestration as an AI-powered workflow, the July release focuses on the health of your Salesforce data, enables real-time matching across related objects, and makes trigger execution predictable.
Duplicate accounts, contacts, leads and opportunities are not just operationally inefficient, but they also are a direct cause of AI hallucinations.
