6 Best Data Quality Tools for Revenue Operations in 2024
Data quality was the top complaint from revenue operations leaders in 2024. Surveys consistently showed that 30-40% of CRM data decays annually, which means the contacts your team enriched last year are already going stale. The tools in this roundup represent the best options available in 2024 for keeping your revenue data clean, deduplicated, and accurate. See also: <a href='/best-of/best-data-quality-tools-for-revenue-operations-2025/'>2025 picks</a> | <a href='/best-of/best-data-quality-tools-for-revenue-operations/'>2026 picks</a>
We evaluated these tools based on how they handle the core data quality challenges in RevOps: duplicate management, field standardization, enrichment accuracy, and prevention of bad data entry. Job posting demand and user adoption data informed our rankings.
The best data cleaning & hygiene tool overall is Reltio (Best for Enterprise MDM), starting at $50K+/year.
At a Glance
| Tool | Award | Price | Best For |
|---|---|---|---|
| Reltio | Best for Enterprise MDM | $50K+/year | Enterprise organizations with 10+ data systems needing a single source of truth |
| Informatica CDQ | Best for Complex Pipelines | Custom pricing | Data engineering teams needing granular control over quality rules across complex pipelines |
| Validity DemandTools | Best for Salesforce | $15/user/month | Salesforce admins and RevOps teams cleaning data inside the Salesforce ecosystem |
| ZoomInfo Operations | Best for Enrichment + Cleaning | $12K+/year | Teams already paying for ZoomInfo who want automated data quality on top of enrichment |
| Openprise | Best for Automation | Custom pricing | Enterprise RevOps teams with multi-system data orchestration needs and dedicated ops resources |
| Syncari | Best for Multi-System Sync | $2K+/month | Teams running 3+ GTM systems needing bidirectional sync with governance |
Reltio
Best for Enterprise MDMReltio is a cloud-native master data management platform that handles entity resolution, survivorship rules, and data governance across dozens of systems. Purpose-built for post-merger data consolidation and multi-ERP environments.
The price tag and 3-6 month implementation put it out of reach for most mid-market teams.
Informatica CDQ
Best for Complex PipelinesInformatica's Cloud Data Quality product is the most configurable data quality engine on the market. Build rules for standardization, matching, deduplication, and validation spanning your entire data estate. Integrates with Snowflake, Databricks, and every major cloud warehouse.
Opaque pricing and requires real technical skill. This is a data engineering tool, not a RevOps tool.
Validity DemandTools
Best for SalesforceDemandTools is the go-to for Salesforce-native data quality. Mass deduplication, standardization, and data imports directly inside Salesforce. The single-table dedupe and mass update modules save hours of manual work weekly.
Salesforce-only. Zero utility for HubSpot or other CRMs. Desktop application feels dated.
ZoomInfo Operations
Best for Enrichment + CleaningZoomInfo's OperationsOS product combines their contact database with automated data quality workflows. Deduplicates records, standardizes fields, enriches missing data, and routes leads. The enrichment quality is strong for North American B2B contacts.
Only makes sense as a ZoomInfo add-on. Standalone purchase doesn't make sense at $12K+/year for cleaning features alone.
Openprise
Best for AutomationOpenprise was the enterprise standard for data orchestration in 2024. The no-code workflow builder lets RevOps teams create complex data processing pipelines covering dedup, normalization, enrichment routing, and quality scoring. It handles the full data lifecycle between your sources and CRM. Enterprise pricing starts around $30K/year.
Enterprise pricing and implementation timeline put it out of reach for mid-market teams. Requires dedicated RevOps resources to configure and maintain workflows.
Syncari
Best for Multi-System SyncSyncari creates a unified data model across all your GTM systems and keeps them in sync. Changes in Salesforce propagate to HubSpot and your data warehouse with built-in conflict resolution and data quality rules.
Requires trust in autonomous sync decisions. $2K/month starting price is steep for smaller teams.
How We Picked These
We evaluated data quality tools on time to value, measurable accuracy improvement, pricing model fit, and CRM integration depth. Job posting analysis of 23,000+ postings informed which tools employers invest in hiring for.
Frequently Asked Questions
What is data quality in RevOps?
Data quality means CRM records are accurate, complete, deduplicated, and standardized. Bad quality shows up as bounced emails, wrong numbers, duplicate accounts, and outdated titles. It directly impacts lead scoring, routing, and forecasting.
How much does bad data cost a sales team?
Most research puts the cost at 20-30% of a rep's productive time. That's roughly $15K-25K per rep per year. For a 50-person sales org, that's over $750K annually in lost productivity.
Can I use my enrichment tool for data quality?
Enrichment fills missing fields. Data quality fixes incorrect, duplicate, and inconsistent records. They're related but different. ZoomInfo Operations handles both. Most enrichment tools focus on appending data, not cleaning what's already there.