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Data Matching/Merging/Deduplication/Verification Product Directory


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Advanced 365 - DBIntegrate

DBIntegrate is a complete data integration platform that will help ensure the success of your data quality project. Key features include:

  • Sophisticated de-duplication processes with complete definition of the four phases – Normalisation, Grouping, Matching, Merging
  • Data mapping processes with extensive options for data transformation
  • Extensive built-in processing and matching functions
  • Extensibility, enabling you to define your own custom processing or matching functions

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Ataccama - Data Quality Center

Ataccama Data Quality Center (DQC) provides a consistent, comprehensive tool that will allow you to address the full range of data quality issues—from data cleansing to matching—and prevent incorrect or incomplete data from gaining future entrance into your systems.

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Experian QAS - QAS Pro, QAS Batch

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With best in class verification solutions for addresses, names, emails and phone numbers we are a market leader in the address management space. Our versatile range of data qualification products can be used to verify, cleanse and deduplicate data at both the point of capture and retrospectively for a complete data integrity solution.

QAS Pro

Address finder with deployment in your CRM application, your website, hosted service or standalone application on desktop.

QAS Email Validate

Valdates email addresses at the point of entry, on your website or CRM application.

QAS Mobile Validate

Capture accurate mobile phone number and understand whether the phone is still in use and the contract supplier.

QAS Batch

Clean, standardise and append extra information in bulk process on desktop or directly in host application. Suppress records against a range of reference data.

QAS Unify

Enables your organisations to deduplicate records at the back end while preventing the entry of duplicate records at the front end.

 

Uniserv

Data Quality Batch Suite

Used to check customer data quality and cleanse data automatically. Carry out mass cleansing of data  e.g. to clean-up errors which were detected by our DQ Explorer profiling solution or reported by the DQ Monitor.

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Data Quality Real-Time Services

Hearing, reading, typing errors or abbreviations are automatically corrected "on the fly" by error-tolerant access to reference data and are thereby excluded as sources of error. In this case, the Real-Time Services act as a Data Quality Firewall.

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