DataGroomr’s April release brings a wave of capabilities that shorten the path from raw Salesforce data to clean, trustworthy records — whether you’re a brand-new customer or a seasoned admin pushing the platform’s limits.
Welcome Any Object — Instantly
During onboarding, you can now choose any Salesforce object, standard or custom, and watch DataGroomr do the heavy lifting. The service profiles those records, builds matching and data-quality models, and spins up Trimmr and Brushr datasets in the background. The result: useful insights within minutes instead of hours. If you add a new object later in Supervisr, handy toggles let you trigger the same auto-generation sequence on demand.
One-Click AI Model Training
Creating a machine-learning matching model no longer requires curated training data. In Supervisr you’ll see a new Train with AI option; press it and our AI assistant labels pairs, feeds them to the Machine Learner, and returns a production-ready model—often in the time it takes to refill your coffee. You still retain the ability to refine the model or add manual training examples, but the slog of bootstrapping a model is gone.
Multi-Model Matching
Enterprise customers can now assign up to three matching models to the same dataset. Each duplicate record carries a color-coded badge that shows which model flagged it, and every model has its own confidence slider. To help you test and work with those models, Trimmr’s list view includes a brand-new filter that narrows the grid to duplicates produced by a specific algorithm. Together, these features make it easy to experiment with domain-specific logic without losing sight of the “standard” model’s behavior.
Smarter Merge Rules
We’ve added a “duplicates count” block inside the merge-rule editor. If you use import from the Dataset feature in Importr, you can roll-up this information into the parent matching records. Merge-rule dialogs now also display the Salesforce API names of each field in parentheses, eliminating the need to flip back to Setup while crafting logic.
Richer Emails, Cleaner Progress Bars
Post-analysis emails have been redesigned to break down data-quality scores for every Data Quality model rather than presenting a single blended number. Meanwhile, Trimmr’s progress indicator streams real-time percentages from both the preprocessing and analysis phases,; so you’ll never wonder whether a job is stuck.
Seamless Salesforce Integration
Two big wins land for orgs that live inside Salesforce all day. First, we’ve published an unlocked package that installs our NPSP-aware Contact merger with one click—no manual Apex deployment required. Second, a new invocable Apex action lets admins invoke DataGroomr Verify from Flow or Omni-Studio by simply supplying record IDs and field lists. These additions make it easier than ever to embed DataGroomr’s intelligence directly into business processes.
Smarter Phone Number Formatting and Consistency Checks
Brushr now infers a phone number’s country from its pattern—so, for example, a leading “07” is recognized as United Kingdom even when the country field is missing. We’ve also back-generated Consistency data-quality models for existing customers using historical formatting stats, surfacing quick-win cleanup opportunities in their dashboards.
Address Abbreviations and UI Polish
A built-in synonym dictionary now normalizes common street abbreviations (St., Ave., Blvd., etc.), improving both deduplication and quality scoring out of the box. On the UI front, the matching-model settings panel has been tidied up: percentages sit to the left of sliders, and only one accordion expands at a time, preventing that “accordion jitter” effect.
Getting Started
The April release is already live for our users — just refresh your browser. Try adding a custom object, kick off an AI-assisted model, or experiment with a second matching model and watch the color badges light up in Trimmr.
Do you have questions or feedback? We’re always listening at support@datagroomr.com and on our Ideas Portal.
Cheers to cleaner data, faster decisions, and fewer late-night merge regrets!
