Data quality directly impacts CRM ROI. Learn how to measure data quality across completeness, accuracy, consistency, and timeliness dimensions.
Only 23% of CRM dashboards are reviewed consistently enough to influence business decisions.
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Assess Your Data QualityKey Takeaways
Reporting — Quick Summary
- 1Completeness
- 2Accuracy
- 3Consistency
- 4Timeliness
- 5Preventive Measures
- 6Corrective Measures
Who This Article Is For
Reporting — role-specific value map
Weekly pipeline reviews based on gut feeling, not data
Real-time pipeline dashboards enabling data-driven coaching conversations
Constant ad-hoc report requests pulling focus from strategic work
Self-service dashboards enabling users to answer their own questions
Monthly board reports requiring 2+ days of manual data gathering
Executive dashboards with one-click access to all key metrics
faster deal closing with role-specific dashboards
Source: Salesforce ROI Study
of business decisions based on inaccurate CRM data
Source: Experian Data Quality
Poor data quality undermines every CRM function: inaccurate reporting, failed automation, missed opportunities, and frustrated users. A data quality scorecard helps you measure, track, and improve your CRM data systematically.
Percentage of records with required fields populated:
- Contacts: Name, email, phone, company
- Accounts: Name, website, industry, size
- Deals: Name, value, stage, close date
Correctness of data values:
- Valid email addresses
- Working phone numbers
- Correct company names
- Accurate deal values
Uniform formats and values:
- Standardized phone formats
- Consistent address formatting
- Uniform picklist values
- Consistent naming conventions
Currency of data:
- Last activity date within 90 days
- Contact information updated within 6 months
- Deal stages reflect current reality
Create a weighted scorecard:
| Dimension | Weight | Current Score | Target Score |
|---|---|---|---|
| Completeness | 30% | 72% | 90% |
| Accuracy | 30% | 65% | 85% |
| Consistency | 20% | 58% | 80% |
| Timeliness | 20% | 70% | 85% |
- Required fields on key objects
- Validation rules for email and phone formats
- Picklist constraints instead of free text
- Duplicate prevention rules
- Quarterly data cleanup campaigns
- Automated deduplication jobs
- Data enrichment services
- User training on data entry standards
We help businesses measure and improve CRM data quality. Our services include data quality assessment, scorecard design, cleanup execution, and ongoing monitoring through Managed Excellence.
We reduced our reporting stack from 47 reports nobody read to 8 dashboards everybody uses. The first question we asked for each was: what decision does this enable? Most didn't have an answer.
Key Terms & Definitions
Quick reference glossary for this topic
Downloadable Resources
Free templates and guides
References & Resources
- 1AavishkarIT CRM Implementation Services
aavishkarit.com
- 2
- 3Data Governance Institute
Data Governance Institute