Data Lens
Data Lens audits and improves CRM data by checking records, correcting field errors and resolving duplicates.
What Data Lens is
Data Lens audits and improves CRM data by checking records, correcting field errors and resolving duplicates. Its field-level audit examines completeness, duplicate flags, format issues and association accuracy before changing records. It matches Contacts and Companies using confidence-scored logic and survivorship rules, then automatically updates Deal associations after merges. Users upload Company or Contact CSV files, choose a process type and retrieve completed outputs through a guided workflow; files can contain up to 300K rows. Each job provides an Audit Report, Cleansed Dataset and Deduplicated File. The downloadable report includes field completeness scores, duplicate and merge summaries, corrected format errors and an overall data health score. Listed CRM support includes HubSpot, Salesforce, Microsoft Dynamics 365 and Acumatica. Clean outputs can route to Matchbook XDM or Sales Analytics, with Databricks, Azure Data Lake and Snowflake among the downstream connectors. The platform is web-based, and the listed Basic Access partner plan costs $15,000 a year. A second managed plan is listed at $15k/yr + $2k/month.
Good
- Checks record completeness, formats and associations.
- Matches Contacts and Companies using confidence-scored logic.
- Accepts CSV files up to 300K rows.
- Provides three output files for each completed job.
- Lists four CRM platforms for native support.
Watch out
- Pricing is on request.
- Basic Access costs $15,000 a year.
- CSV input is limited to Company or Contact files up to 300K rows.
Who it suits
Data Lens suits Revenue Operations teams, CRM implementation partners and migration or transition teams. It may also fit Sales, Marketing and RevOps leaders overseeing CRM data quality.
Verdict
Data Lens centers on auditing, cleaning and deduplicating CRM exports, with reports and clean files produced for each job. Its listed partner pricing is substantial, so confirm the plan structure and scope before proceeding.
Plans and prices
From Data Lens's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Tier 1 — Basic Access (Annual Partner Fee) | $15,000 a year | Data Lens platform access for partner team; white-label Sales Analytics Platform; dedicated partner manager, training, onboarding and technical support · $15,000/year |
| Tier 2 — Managed Data Lens (Annual Partner Fee) | Priced on request | Includes Tier 1; Matchbook AI provides dedicated personnel to operate Data Lens and process submitted client data · $15k/yr + $2k/month |
The facts
Each one read from Data Lens's own pages, with the date it was checked.
What it does
- Access and workflow
- Users upload an export, choose a process type and retrieve clean outputs through a guided four-step workflow; the page says no specialist configuration or developer support is needed.checked 3 Oct 2026
- Audience
- The maker identifies Revenue Operations teams, CRM implementation partners, migration and transition teams, and Sales, Marketing and RevOps leaders as intended users.checked 3 Oct 2026
- Audit
- Its field-level audit checks completeness, duplicate flags, format issues and association accuracy before records are changed.checked 3 Oct 2026
- Audit report
- Each run produces a downloadable report with field completeness scores, duplicate counts, format errors and an overall data health score.checked 3 Oct 2026
- CRM support
- The page lists native support for HubSpot, Salesforce, Microsoft Dynamics 365 and Acumatica.checked 3 Oct 2026
- Input limit
- The workflow accepts Company or Contact CSV files up to 300K rows.checked 3 Oct 2026
- Integrations
- The maker lists native connectors including Databricks, Azure Data Lake and Snowflake, and says clean outputs can route to Matchbook XDM or Sales Analytics.checked 3 Oct 2026
- Intended users
- The page identifies Revenue Operations teams, CRM implementation partners, migration teams, and Sales, Marketing and RevOps leaders as intended users.checked 3 Oct 2026
- Job outputs
- Each job provides an Audit Report, Cleansed Dataset and Deduplicated File when processing completes.checked 3 Oct 2026
- Matching
- It matches Contacts and Companies using confidence-scored logic, applies survivorship rules and automatically updates Deal associations after merges.checked 3 Oct 2026
- Other integrations
- Clean outputs can route to Matchbook XDM or Sales Analytics, and listed native downstream connectors include Databricks, Azure Data Lake and Snowflake.checked 3 Oct 2026
- Outputs
- Each job provides an Audit Report, Cleansed Dataset and Deduplicated File on completion.checked 3 Oct 2026
- Processing
- Its workflow assesses data quality, corrects field errors and resolves duplicates in three stages.checked 3 Oct 2026
- Purpose
- Data Lens audits, cleanses, normalises and deduplicates CRM data.checked 3 Oct 2026
- Reports
- Each run generates a downloadable report with field completeness scores, duplicate and merge summaries, corrected format errors and an overall data health score.checked 3 Oct 2026
- Security and privacy
- The maker's privacy policy describes collection and protection of personal information when users access its website; it does not specify Data Lens product security certifications on that page.checked 3 Oct 2026
- Support
- The company offers a demo and lists [email protected] and (310) 643-4596 for contact.checked 3 Oct 2026
The company
- Company
- Matchbook AI describes its company as turning fragmented information into clean, trusted intelligence for enterprises.checked 3 Oct 2026
- Founded
- 2018checked 28 Sep 2026
- Headquarters
- Santa Monica, California, United Stateschecked 28 Sep 2026
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