When your dashboards are not reflecting reality, the issue usually is not the report itself. It is the data underneath it.
Missing contact details, inconsistent formatting, and inactive filters can quietly distort analytics. Teams often spend hours tracing the source of the problem, only to find basic data gaps buried across records.
If you manage operations, marketing, sales, or support in HubSpot, you have likely faced these inconsistencies. Sales reports can drift due to unassigned deals. Support metrics can be inflated by duplicate tickets. Small data issues tend to multiply, leading to reports that no longer feel reliable.
HubSpot Data Quality Tools in Reporting (Beta) addresses this problem directly. This reporting-focused feature identifies data issues affecting dashboards and consolidates them in one place. Instead of checking properties one by one, teams can see what is broken, where it lives, and how it impacts reporting.
This guide explains what the beta includes, where to find it, how it works, and how teams use it across departments. It also covers common setup mistakes and shows how to measure improvement using HubSpot’s existing tools.
Inside HubSpot’s Data Quality Tools for Reporting (Beta)
This beta feature sits within HubSpot’s Data Quality Command Center, which lives under the Data Management section of your portal.
Once inside, you will see two primary views:
Global CRM Diagnosis:
A high-level snapshot showing overall data health across objects.
Reporting Impact Summary:
A focused view of data issues that directly affect reports and dashboards.
What sets this tool apart is its focus on reporting dependencies. Instead of flagging every possible data issue, it concentrates on problems that break filters, calculations, and segmentation logic.
It identifies issues such as blank properties, mismatched formats, and property types that conflict with report filters. Affected records are surfaced directly, so dashboards are no longer built on unreliable inputs.
The beta works across standard CRM objects:
- Contacts
- Companies
- Deals
- Tickets
Custom objects can be included depending on access permissions and configuration.
An automated scanner runs in the background and highlights patterns that commonly produce faulty metrics. In many cases, suggested fixes are provided so teams can act quickly before errors spread into executive reporting.
How It Works Under The Hood
The tool runs an automated scan that checks CRM data against HubSpot’s internal reporting requirements.
It evaluates property structure, usage patterns, formatting consistency, and filter compatibility to identify disruptions that affect reporting clarity.
Here is how the process flows:
Input:
The system scans object properties that are used in reports or flagged as report-relevant fields.
Processing:
It checks for blank values, incompatible data types, inconsistent formatting, and values that do not align with filter logic.
Output:
A visual breakdown shows issues by object, with severity indicators and recommended next steps.
Optional Corrections:
Some fixes can be applied immediately, such as capitalization cleanup or duplicate merges. Structural changes usually require admin approval.
The tool also highlights outdated or deprecated properties that are still referenced in reports. Cleaning these up improves load times and keeps dashboards aligned with current data.
Main Uses Inside HubSpot
Most teams rely on this feature to resolve a small set of recurring reporting issues. Below are the most common use cases.
Fixing Incomplete Contact And Company Data
Reports lose accuracy when required properties are missing.
Instead of guessing which fields are incomplete, the tool provides a direct list of affected properties and records.
For example, a revenue report grouped by industry may suddenly show missing segments. A scan may reveal that a percentage of the company’s records lack the Industry property. From the issue view, teams can apply bulk updates or use automated suggestions.
Removing Duplicates That Distort Deal Reports
Duplicate records affect more than storage limits. They skew deal counts, conversion rates, and revenue totals.
If a pipeline report shows inflated numbers, the tool may flag duplicate Deals based on shared identifiers. Merging those records brings reporting back in line with actual performance.
Validating Property Formats For Reporting Filters
Reports depend on consistent formatting.
Phone numbers without country codes, postal codes stored inconsistently, or mixed date formats can cause filters to fail or return partial results.
If a time-based report appears erratic, a scan may reveal date mismatches across records. Standardizing those formats restores accurate trends.
Cleaning Deal Owner Assignments Across Pipelines
Unassigned deals weaken ownership and performance reporting.
The beta highlights deals without owners that are included in revenue or pipeline reports. Assigning ownership correctly restores quota tracking and attribution accuracy.
Common Setup Errors and Wrong Assumptions
Even experienced HubSpot users can misapply this tool. These are the most frequent mistakes to avoid.
Mistake: Assuming the tool fixes everything automatically.
Recommendations still require review, especially when property structure is involved.
Mistake: Ignoring property type conflicts.
Using text fields when numeric values are expected results in failed calculations. The tool flags these issues for a reason.
Mistake: Cleaning only one object.
Fixing Contacts without aligning related Company or Deal data creates broken joins. Always validate related objects together.
Mistake: Running checks infrequently.
Data issues accumulate quickly. Weekly or biweekly scans prevent silent reporting drift.
Step-By-Step Setup or Use Guide
To use this beta, you need Super Admin or Data Management permissions. It is typically available on Pro and Enterprise plans.
Step 1: Open Data Management
Go to Settings from the top navigation. Under Data Management, select Data Quality Command Center.
Step 2: Navigate To Reporting (Beta)
Inside the command center, click the Reporting (Beta) tab to access diagnostics.
Step 3: Review Flagged Properties
Issues appear grouped by type, such as duplicates, blank fields, or unsupported formats. Each item links to affected records.
Step 4: Filter By Object Type
Limit the view to Contacts, Companies, Deals, or Tickets to address department-specific needs.
Step 5: Review Each Issue Category
Select a warning to view examples and understand the scope before applying updates.
Step 6: Apply Or Review Recommended Fixes
Use quick actions for simple corrections. Structural changes require admin approval.
Step 7: Validate Changes In Reports
Open related dashboards and confirm that totals, filters, and segments reflect the updates.
Step 8: Schedule Recurring Checks
Set up recurring scans to review issues before they affect reporting.
Measuring Results in HubSpot
After cleanup, teams should confirm that reporting stability has improved.
Create A Baseline Report:
Capture counts of blank fields, duplicates, and format errors before making changes.
Track Quality Status With A Property:
Use a property such as “Data Quality Status” with values like Clean, In Progress, and Needs Review.
Build A Data Health Dashboard:
Display metrics such as property completion rates and duplicate counts in one place.
Monitor Report Stability:
Reduced fluctuations in totals and conversion rates indicate improved data consistency.
Connect Cleanup To Performance Metrics:
Align cleaned lifecycle stages with conversion data to confirm reporting accuracy.
Example That Connects The Workflow
A marketing team reviews cost-per-lead by source and finds inconsistent results.
A closer look shows that several Contacts from paid campaigns are missing the Original Source property or appear multiple times due to imports.
Using Data Quality Tools in Reporting (Beta), the team filters by Contacts and reviews flagged issues. Property values are standardized, capitalization is corrected, and duplicate records are merged.
The next report run reflects accurate attribution. Unknown sources drop significantly, and cost calculations align with expectations. Reporting becomes dependable again.
How INSIDEA Helps
Clean data requires more than one-time fixes. It requires structure, rules, and ongoing oversight.
INSIDEA helps teams design HubSpot systems that maintain reporting accuracy as usage grows. From configuration to ongoing management, the focus stays on keeping data reliable.
Support areas include:
- HubSpot Onboarding: Set up properties, objects, and data rules correctly from the start.
- HubSpot Management: Ongoing support to prevent data decay and reporting inconsistencies.
- Automation Support: Workflows and checks that reinforce proper CRM usage.
- Reporting Alignment: Dashboards that reflect actual business logic.
If reporting cleanup has become a recurring task, it may be time to hire HubSpot experts who can address root causes rather than just symptoms. INSIDEA also provides HubSpot consulting services for teams that need long-term structure and governance without disruption.
Accurate reporting depends on disciplined data. Use HubSpot Data Quality Tools in Reporting to restore confidence in your dashboards, and let INSIDEA help you maintain it as your CRM grows.
