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Precisely Data Matching and Entity Resolution
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What Precisely Data Matching and Entity Resolution is
Precisely Data Matching and Entity Resolution helps organizations connect records in different systems that refer to the same entity. It supports configurable matching for people, households, businesses, suppliers, assets, products, parts, and locations, with AI/ML intended to help business users work through large, complex datasets with less dependence on IT. Data preparation can include profiling, business rules, and enrichment with demographic, firmographic, and location intelligence. Spectrum Quality provides phonetic, distance-based, and country-specific matching algorithms for B2B and B2C names across more than 200 countries. The solution works across on-premises and cloud environments; listed platforms include Linux, Windows, web, and self-hosted. Batch file import, household matching, and organization matching are supported. Listed use cases include customer 360, anti-money laundering, fraud detection, and business decisions. Precisely reports that Schwan’s saw a 25% decrease in new customer duplicate data. Pricing is on request. Precisely was founded in 1968 and is headquartered in Burlington, Massachusetts, USA.
Who it suits
This solution is aimed at organizations seeking trusted entity data for decision-making, customer engagement, fraud detection, anti-money-laundering, or compliance work.
What it does well
- Supports matching across eight entity types.
- Works across on-premises and cloud environments.
- Includes batch file import and household matching.
- Algorithms cover names across more than 200 countries.
What to know first
- Pricing is available on request.
- Large, complex datasets are a stated focus.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Data matching and entity resolution solutions | Pricing not stated; talk to an expert | On request |
As precisely.com lists them, read 4 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the Precisely Data Matching and Entity Resolution website.
- Talk to an expert to discuss the solution and request pricing.
- Choose an on-premises or cloud environment for deployment.
- Use batch file import, household matching, or organization matching as needed.
Verdict
Precisely offers configurable matching, data preparation, and support for varied entity types and deployment environments. Organizations considering it will need to request pricing.
Questions
How much does Precisely Data Matching and Entity Resolution cost?
Pricing is available on request; talk to an expert.
Which platforms are listed?
Linux, Windows, web, and self-hosted are listed.
Can it match households and organizations?
Yes. Household matching and organization matching are supported.
What types of records can it match?
Configurable matching covers people, households, businesses, suppliers, assets, products, parts, and locations.
Which integrations are listed?
The partner ecosystem includes AWS, Azure, Google Cloud, Cloudera, Confluent, Databricks, Snowflake, SAP, ServiceNow, and Splunk.
Who makes the solution?
Precisely is headquartered in Burlington, Massachusetts, USA, and was founded in 1968.
Facts from Precisely Data Matching and Entity Resolution's own pages
- Customer outcome
- Precisely reports that Schwan’s experienced a 25% decrease in new customer duplicate data. · precisely.com, 4 Oct 2026
- Data preparation
- Precisely solutions profile data, apply business rules, and enrich records with demographic, firmographic, and location intelligence to support matching. · precisely.com, 4 Oct 2026
- Deployment
- Precisely says its matching solutions work across on-premises and cloud environments. · precisely.com, 4 Oct 2026
- Entity coverage
- Configurable matching supports people, households, businesses, suppliers, assets, products, parts, and locations. · precisely.com, 4 Oct 2026
- Founded
- 1968 · precisely.com, 28 Sept 2026
- Headquarters
- Burlington, Massachusetts, USA · precisely.com, 28 Sept 2026
- Integrations
- Precisely’s partner ecosystem includes AWS, Azure, Google Cloud, Cloudera, Confluent, Databricks, Snowflake, SAP, ServiceNow, and Splunk. · precisely.com, 4 Oct 2026
- Intended users
- The solution is positioned for organizations seeking trusted entity data for decision-making, customer engagement, fraud detection, anti-money-laundering, and compliance use cases. · precisely.com, 4 Oct 2026
- Matching approach
- Configurable matching and AI/ML help business users resolve records across large, complex datasets with less dependence on IT. · precisely.com, 4 Oct 2026
- Matching capabilities
- Spectrum Quality provides phonetic, distance-based, and country-specific matching algorithms for B2B and B2C names across more than 200 countries. · precisely.com, 4 Oct 2026
- Purpose
- Connects records across systems that refer to the same real-world entity to create a trusted view of customers, suppliers, assets, and other entities. · precisely.com, 4 Oct 2026
- Security
- Precisely says its SaaS solutions are assessed to SOC 2 Type II annually and certified to ISO 27001:2022. · precisely.com, 4 Oct 2026
- Support
- Precisely offers customer support plans, including 24/7 severity support, and a portal with documentation, downloads, API information, and forums. · precisely.com, 4 Oct 2026
- Use cases
- The maker lists customer 360, anti-money laundering, fraud detection, and confident business decisions as use cases. · precisely.com, 4 Oct 2026
Where Precisely Data Matching and Entity Resolution stands on Freedom251
- Identity Resolution Software#13 of 25