What is Object Health Analysis - Data Doctor Knowledge Base

What is Object Health Analysis

Object Health Analysis provides a comprehensive view of data quality across any Salesforce object. It continuously monitors your data for common issues—duplicates, orphaned ownership, and incomplete records—and gives you a single health score to track improvements over time.

Overview

Every Salesforce object accumulates data quality issues over time. Duplicate records creep in from integrations and manual entry. Employees leave, leaving records owned by inactive users. Required fields get skipped, creating incomplete records that break reports and automations.

Object Health Analysis brings visibility to these hidden problems. For any object you choose to monitor, Data Doctor calculates a health score based on three key dimensions of data quality. This score updates automatically as your data changes, giving you an always-current view of where your data stands and whether it's improving or declining.

Why It Matters: Poor data quality costs organizations an average of 15-25% of revenue through bad decisions, wasted time, and missed opportunities. Object Health Analysis makes invisible problems visible so you can address them proactively.

The Health Dashboard

The Object Health dashboard is your command center for data quality. It displays all monitored objects with their current health scores, recent trends, and quick access to detailed breakdowns.

70

Account Health Score

Duplicate Records
72%
Record Ownership
94%
Data Completeness
45%

The overall health score is a weighted average of the three category scores. Each category contributes equally by default, though the impact naturally varies based on the severity of issues in your data.

Object Health Trend Last Updated
Account 70 +5 pts 2 hours ago
Contact 86 +2 pts 2 hours ago
Lead 52 -3 pts 1 day ago
Opportunity 91 No change 4 hours ago

Click into any object to see the full breakdown, historical trends, and take action on specific issues.

Health Categories

Object Health Analysis evaluates your data across three distinct categories, each measuring a different aspect of data quality.

Duplicate Records

Measures the percentage of records that are unique versus those identified as duplicates. This score is calculated using your default duplicate rule for the object—the rule designated to represent your primary definition of what constitutes a duplicate.

A high duplicate score means most of your records are unique. A low score indicates significant duplication that may be inflating record counts, causing confusion, and fragmenting customer data across multiple records.

How to Improve: Review identified duplicates in the Duplicate Manager and merge them manually or enable Auto-Merge for automated cleanup. Refine your duplicate rules to catch more variations.

Record Ownership

Tracks the percentage of records owned by active users versus those assigned to inactive (deactivated) users. When employees leave your organization, their Salesforce user accounts are typically deactivated—but their records remain, now orphaned without an active owner.

Orphaned records often fall through the cracks: leads don't get followed up, accounts don't get renewed, and cases don't get resolved. This score helps you identify and reassign these at-risk records.

How to Improve: Use the Ownership Report to identify records with inactive owners. Bulk reassign them to active users, queues, or use assignment rules to distribute them based on criteria like territory or industry.

Data Completeness

Measures how thoroughly your records are filled out based on fields you designate as important. You select which fields to track—these might be fields critical for reporting, segmentation, automation triggers, or downstream integrations.

The completeness score shows the average fill rate across your tracked fields. You can also drill down to see which specific fields have the lowest completion rates, helping you prioritize data enrichment efforts.

How to Improve: Use the Completeness Report to identify records missing key data. Launch targeted data enrichment campaigns, update page layouts to emphasize important fields, or implement validation rules to require data entry at key stages.

Automated Health Snapshots

Stay Informed Without Logging In

Subscribe to automated health snapshot emails to receive regular updates on your data quality trends. These digests are delivered on your preferred schedule—daily, weekly, or monthly—and highlight:

  • Current health scores for all monitored objects
  • Score changes since the last snapshot (improvements and declines)
  • Objects that have crossed threshold alerts (e.g., dropped below 70)
  • Top issues to address, ranked by impact

To subscribe, navigate to Data Doctor → Settings → Notifications and configure your snapshot preferences. You can subscribe multiple team members with different schedules based on their roles.

Tip: Set up threshold alerts to get notified immediately when an object's health score drops below a critical level. This helps you catch and address data quality regressions before they impact business operations.

Getting Started

To begin monitoring an object's health:

  1. Navigate to Data Doctor → Object Health
  2. Click Add Object and select the object you want to monitor
  3. Configure a default duplicate rule (or select an existing one)
  4. Select which fields to track for data completeness
  5. Save to start tracking—your first health score will be calculated immediately

Need Help? If you're unsure which objects to prioritize or which fields to track for completeness, contact our support team for guidance based on your Salesforce implementation.