Assess CRM Data Quality

A single view tells your data quality story

See DataGroomr in Action

Your CRM data naturally changes as teams grow and businesses evolve. But without visibility, that evolution can quickly turn into a hairball of misaligned, incorrect, or duplicate records. The result is that your job becomes a painful, mind-numbing slog to untangle the mess.

DataGroomr prevents the mess before it starts and provides your team instant, ongoing visibility into data quality. Teams that use DataGroomr identify and address issues proactively, before they impact performance, reporting, or trust.

Data quality issues hide until something breaks

Data quality issues rarely announce themselves. They accumulate quietly as your teams grow and as your systems and processes evolve. Reporting, routing, or forecasting are often already degraded before you are even aware a problem exists.

Common causes include:

Inconsistent data entry varies across teams
Imports and integrations introduce errors
Duplicate or incomplete records undermine accuracy
Limited visibility hides data quality issues

If you can’t trust the data, you can’t trust the business

Degraded or incorrect data impacts the entire business:

Reports and dashboards stop aligning
Forecasts lose credibility with leadership
Lead routing and ownership silently fail
Teams lose precious time on manual workarounds
Sales teams are distracted and sales suffer

Without visibility, teams react to symptoms instead of addressing root causes.

Visibility offers data quality at your fingertips

DataGroomr provides continuous, automated insight into your CRM data’s health at the field level, without manual audits or one-off cleanup projects.

Detect
Continuously evaluate records against your data standards to surface gaps, inconsistencies, and risk areas.

Fix
Automatically correct issues or surface them for action before they spread.

Prevent
Maintain ongoing visibility as standards evolve and complexity increases.

You always know the state of your data

With DataGroomr, guesswork becomes real-time, actionable insights. Your team gains instant and continuous visibility into your data’s health, field-by-field, across four quality dimensions:

Completeness: Uncover hidden gaps in required customer, lead, and account information.
Accuracy: Identify outdated or incorrect values that undermine reporting, routing, and decision-making.
Consistency: Detect formatting issues, structural mismatches, and inconsistencies across fields and records.
Timeliness: Monitor data freshness to ensure information stays relevant as your business changes.

As a result:

Data quality is monitored continuously, not quarterly
Imports and integrations are evaluated instantly upon upload
Early warning signals highlight risk before it spreads
Real-time insights replace painful, mind-numbing manual audits and spreadsheets

You always know where your data stands and can act with confidence. Unlike periodic audits or point-in-time reports, DataGroomr keeps data quality visible as your CRM changes every day.

Trusted for CRM data at scale

DataGroomr customers report measurable improvements in data quality, efficiency, and trust, including:

Significant improvements in Salesforce data quality

Fewer duplicates across leads, contacts, and accounts

Faster growth enabled by cleaner, more reliable data

Time saved through automated data hygiene

”Within six months, we improved our Salesforce data quality score by 50%, giving our teams confidence in the data they rely on every day.
Josh HoytDirector of Salesforce Team at EQT

Who owns data quality?

Data quality affects every go-to-market team, but typically only a small set of individuals monitor and maintain it. These teams are the critical first responders when data starts drifting. The first expected to explain what’s happening and why. Most importantly, they are the first held accountable when data quality issues become visible to the executive team.

Data quality ownership most often falls to:

RevOps teams accountable for system-wide accuracy
Salesforce Admins managing data integrity at scale
SalesOps teams supporting reporting and forecasting
Marketing Ops teams relying on clean lead and account data

Assessing data quality isn’t about cleanup for these teams. It’s about visibility, confidence, and staying ahead of issues before they impact the business.