Data Lens

Paid#19 of 27 in Customer Data Quality Software

Data Lens: A focused CRM auditing tool for large CSV workflows and duplicate-record cleanup. Ranked #19 of 27 in Customer Data Quality Software by our editors (7.5/10); pricing: Pricing on request; best for CRM auditing with large CSV workflows.

7.5/10★★★★☆Editor score

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At a glance

• Editor score
  7.5 / 10
• Pricing
  Pricing on request
• Best for
  CRM auditing with large CSV workflows
• Deduplication
  Yes
• Founded
  2018 · Santa Monica, California, United States
• Facts checked
  20 Sep 2026

• Where it wins

  • Audits CRM fields for completeness, format errors, and missing values
  • Matches duplicate Contacts and Companies with confidence-scored logic
  • Processes CSV uploads up to 300,000 rows and produces output files

• Where it doesn't

  • Public customer plan pricing is not listed
  • Access is limited to the web platform
  • Its focus is CRM data quality rather than broad data management

Our verdict on Data Lens

Data Lens is Matchbook AI software for auditing and improving CRM data. It is designed for revenue operations teams, implementation partners, migration teams, and sales or marketing leadership working with Contact and Company records. The workflow covers field-level quality assessment, cleansing, normalization, duplicate matching, and association review. It produces audit reports, cleansed datasets, and deduplicated output files, while supporting CSV uploads up to 300,000 rows. Data Lens runs on the web and lists support for HubSpot, Salesforce, Microsoft Dynamics 365, and Acumatica.

The product’s strongest fit is a structured CRM cleanup process rather than general-purpose data management. Its matching logic includes confidence scores, while survivorship rules and Deal reassociation address decisions that follow duplicate detection. Data health and cleanse reports can help teams review issues, and live job monitoring provides visibility during processing. The listed quality capabilities cover deduplication, data validation, standardization, and quality monitoring. Integrations with Databricks, Azure Data Lake, Snowflake, Matchbook XDM, and Matchbook AI Sales Analytics also place Data Lens within broader data-platform workflows.

Pricing follows a contact-sales model. Partner access is described as included in an annual partner fee, with project-based cost-plus pricing for partners, rather than a standard customer plan. That structure may suit implementation or migration engagements, but teams seeking a self-serve purchase or public tier comparison should look elsewhere. Data Lens is a strong choice for organizations that need field-level CRM auditing, large CSV handling, matching, survivorship, and exportable results. It is less suitable for buyers looking for a transparent subscription catalog or a wider standalone data-management suite.

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Data Lens pricing

Data Lens fact sheet

Data Lens integrations

Data Lens lists 9 integrations on its own site.

• HubSpot
• Salesforce
• Microsoft Dynamics 365
• Acumatica
• Databricks
• Azure Data Lake
• Snowflake
• Matchbook XDM
• Matchbook AI Sales Analytics

Alternatives to Data Lens

• MDMelissa Data QualityA broad, hybrid data-quality portfolio for enterprise-wide validation and governance.9.4
• OpenDQA broad, open-source data quality suite for API-led, multi-deployment environments.9.3
• Reltio Multidomain Master Data ManagementA broad cloud MDM platform for enterprises that need governed, connected customer data.9.2

See all Data Lens alternatives →

Featured on iTechGuides

Data Lens is listed in our Customer Data Quality Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update