ClickCease Advanced Data Quality for Microsoft SQL Server

matchit® for
Microsoft SQL Server

Enterprise Customer Data Quality comes to SQL Server

See it for yourself

Complete SQL Data Quality Platform & Components for Microsoft SQL Server

mSQL on laptop

What is matchit for Microsoft SQL Server?

matchit for SQL Server is a complete customer data quality integration of matchit for Microsoft SQL Server that provides a full spectrum of contact data quality capabilities – including, data matching, data cleansing, normalization, standardization, and verification.

  • Full Spectrum Data Quality
  • Coverage for 240+ Countries – worldwide contact SQL data matching and address verification
  • Intelligent SQL data matching and master record algorithms
  • U.S. NCOA change-of-address processing
  • Parsing, Normalization and more…

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Technically speaking

Built on the AI Matching Engine – matchit for SQL Server is specifically developed to run in Microsoft SQL Server Data Tools (SSDT) using SSIS – or SQL Server Management Studio (SSMS) utilizing .NET stored procedures.

From data cleansing to advanced data transformations, matchit is designed to simplify even the most complex tasks into a few simple clicks. Its self-contained workflow component makes it very easy to integrate with new and existing ETL components.

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Features at a Glance

matchit delivers a full range of capabilities, interwoven processes, with AI capabilities pretuned for various contact data use cases – automatically handling most aspects of customer data unification.

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Built on the massively scalable AI Engine, matchit – the Microsoft SQL Server integration delivers as much as 90% more accurate matches – even on large volumes of data! matchit uses a blend of probabilistic analysis with deterministic logic and using ‘all’ available data to score/grade potential matches.


We believe customer data unification should be easy regardless of a user’s technical ability. 360Science simplifies every step of the process. It’s faster – it’s easier – it’s more accurate


Deterministic and probabilistic logic combine with artificial intelligence to deliver as much as 40x faster time to insights on CRM customer data over Microsoft SQL Data Quality Services


Built from the ground up and optimized to work natively within Microsoft SQL Server – taking advantage of all of SQL Server’s inherent data security and performance capabilities

Why matchit for Microsoft SQL Server?

Because your matching solution can’t handle this!
Near Zero
Data Wrangling

matchit doesn’t require data to be cleansed, normalized or transformed prior to matching.

Seamlessly match data in different formats, and without needing to blend different data sources into a common format/target database.

Mind Blowingly

The scoring logic is light-years beyond what you find in traditional solutions

Tested to deliver as much as 90% more accurate matches on CRM customer data than traditional solutions.

Record Breaking

Best-in-class analytics engine, delivers 10-40x faster time to insights than conventional matching processes.

Reduce data matching processing from days and hours – to just minutes – even on large databases!

Rapid Deployment
Instant Impact

matchit is easy to deploy in SQL Server – No data scientist required! – so you can get up and running instantly.

The engine can automatically extract, transform, standardize your data – and even run multiple data matching models simultaneously!

Comcast partners with 360Science to improve data matching in their Audience Intelligence solutions and digital advertising analytics
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Understanding the Complexity of Customer Data Matching
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The 360Science Secret Sauce

For most non-technical users and decision makers, how 360Science works isn’t as important as how well it works. However, for IT decision makers, we know you’ll want to know more about the data science behind our Intelligent Matching Engine matchit to understand why 360Science is one of the most innovative data analytics solutions available today.

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Matching stack

Learn More about 360Science for SQL Server!

Request more information on the next generation approach to matching and unifying contact data.