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Architecture Entry 10 of 11

How can nonprofits review their HubSpot data model and improve CRM data quality?

HubSpot provides data-model and data-quality tools that help nonprofits understand how their CRM is structured and identify certain problems affecting their records. The data-model overview shows objects, properties, activities, and relationships. Separate data-quality tools can surface issues such as potential duplicates, inconsistent formatting, and problematic properties.

What does this mean?

A nonprofit CRM may contain contacts, households, companies, donations, memberships, events, program enrollments, grants, payments, tickets, custom objects, and app-defined objects. As that system grows, its structure and data become harder to review.

HubSpot's data-model overview helps teams understand the account-level structure they have built. Separate data-quality tools and deliberate record reviews help teams identify and manage problems inside the data.

  • Which objects exist
  • What each object represents
  • How objects can be associated
  • Which properties belong to each object
  • Which integrations create records
  • Where incomplete or inconsistent data exists
  • Whether teams follow the intended model
  • Who owns each part of the CRM

Why does this matter for nonprofits?

Reporting, segmentation, automation, and constituent service all depend on accurate, structured, connected data. When the underlying records are unreliable:

  • Reports may show incorrect results
  • Workflows may enroll the wrong records
  • Donors may receive duplicate communications
  • Household giving may be calculated incorrectly
  • Volunteer histories may be incomplete
  • Membership renewals may be missed
  • Event attendance may be attributed incorrectly
  • Teams may stop trusting the CRM

Once users lose confidence in the data, they often return to spreadsheets, personal notes, and separate department systems. That creates more inconsistency and makes the original problem worse.

What can the data-model overview show?

Depending on the account, the overview may display standard, custom, and app-defined objects; their properties and activities; configured associations; and object usage information.

It can help a nonprofit answer questions such as whether donations can connect to contacts and households, how volunteer assignments connect to events, which objects support membership, and whether an installed app introduced another object.

The overview explains what the account is configured to support. It does not automatically prove that every individual record is associated correctly. A model may show that contacts can connect to households while some contacts remain connected to the wrong household - or to none at all.

What can data-quality tools help identify?

Available capabilities depend on the account's subscription, permissions, and configuration, but supported tools may help teams review:

  • Potential duplicate contacts
  • Potential duplicate companies
  • Property formatting issues
  • Incomplete property values
  • Unusual or inconsistent values
  • Unused properties
  • Data-sync concerns
  • Records requiring review

Automated recommendations still require human judgment. Similar records can represent different people, and a blank value may be intentional. The nonprofit's operating rules determine what clean and complete data means.

A nonprofit example

A nonprofit's data model correctly allows contacts and households to connect with donations, while volunteer assignments connect with contacts and events. A record review still uncovers problems:

  • Some contacts have no household
  • One family has two household records
  • Donations are missing household associations
  • One volunteer has duplicate contact records
  • Event registrations are not consistently connected
  • Teams use different constituent-status values
  • Former employers remain marked as current
  • Integration-created records need review
Maya Santos: Primary Household Member and Primary Donor
Daniel Santos: Secondary Household Member and Soft-Credit Recipient
Elena Santos: Dependent Household Member
Maya's company records: Current Employer and Board Affiliation

 The team uses HubSpot's supported tools to review potential duplicate contacts and companies, then creates reports and review lists for issues involving households, donations, volunteers, and events. It fixes the records and updates the processes that created them. 

What types of CRM data problems should nonprofits review?

Duplicate records

Duplicates divide a constituent's history across records, causing incomplete giving totals, conflicting property values, repeated emails, missed follow-up, and unreliable reporting. HubSpot's duplicate-management support varies by object and subscription; specialized objects may require reports, integrations, or manual review.

Missing information

A record may lack a communication preference, household member, campaign, background-check status, renewal date, attendee, or reporting deadline. A missing value is a problem only when the information is necessary for a real process.

Inconsistent values

Values such as Active, Current, Yes, and Enrolled may all be used to mean the same thing. Dropdown properties, formatting rules, standard processes, and controlled imports can reduce this inconsistency.

Incorrect or missing associations

A donation may not connect to a household, a membership may connect to a person but not the household, or an integration may create records without linking them. These issues may require custom reports, lists, workflows, or manual audits.

Unnecessary or duplicate properties

Fields such as Donor Type, Type of Donor, Constituent Type, and Supporter Type may overlap. A property review helps teams decide what to retain, rename, consolidate, archive, restrict, or replace.

Important architecture note

Data cleanliness cannot be solved by a one-time cleanup.

If the process creating bad data remains unchanged, the problems will return. Before correcting records, determine:

  • How the incorrect records were created
  • Which team or integration created them
  • Whether objects and properties are clearly defined
  • Whether forms collect information consistently
  • Whether imports follow a standard template
  • Whether workflows update records correctly
  • Whether integrations preserve associations
  • Who owns ongoing data-quality monitoring

The goal is to correct both the records and the process that created the problem.

Requirements and limitations

The data-model overview is available across HubSpot products and plans, but what it shows depends on the account. Data-quality, duplicate-management, bulk-action, and custom-matching capabilities vary by subscription and permission.

Before implementation, confirm:

  • Which tools are available
  • Which objects each tool supports
  • Who can review, merge, or edit records
  • Whether bulk duplicate management is available
  • Whether custom matching rules are available
  • Which integrations affect the data
  • How merges affect associations and workflows
  • Whether custom reports are needed
  • Who approves large-scale cleanup
  • How often reviews will occur

HubSpot does not automatically resolve every duplicate or identify every architecture problem. Review recommendations before records are merged, deleted, or updated.