Data Lens review
A focused CRM auditing tool for large CSV workflows and duplicate-record cleanup.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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.
Data Lens pros and cons
- 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
Data Lens fact sheet, pricing and score →
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