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The DQ Timeline

dq global original logo 1995

DQ Global™ was founded by Martin Doyle in 1995 as a sister company to his CRM implementation practice.

Martin identified early on that poor data quality was the number one inhibitor to user adoption of the emerging CRM market.

Dedupe software 2000 logo 1997

Dedupe was a milestone product in database deduplication technology, allowing users to match records in five spoken languages, without having to export and re-import their data.

2000

DQ Global™ expands its product offerings to include, integrations with CRM systems such as Saleslogix (Infor CRM) and Pivotal. Likewise, further enhancing it’s matching and data management capabilities.

DQ Global Logo 2004

DQ Global™ refreshes it’s branding and continues to extend it’s integration capabilities. And raise awareness of data quality improvement as a strategic imperative.

perfectmerge logo 1024x1022 2014

DQ Global™ releases its exciting new product Perfect & Merge™ for Dynamics CRM. Allowing users to match, master and merge their data inside their Dynamics CRM.

2015

Based on customers needs, DQ Global™ extends its Professional Services team to deliver master data management and data quality improvement projects for its customers worldwide.

logo 2020

Following years of growth and success, DQ Global™ celebrated its 25th Birthday in 2020 with a brand new website, fresh branding and the launch of two new products – DQ on Demand™ and DQ for Excel™.

Together with DQ for Dynamics™ and DQ Studio™, the DQ Suite of software enables businesses worldwide to tackle their customer data quality challenges with ease.

 

Products

DQ for Dynamics Logo

DQ for Dynamics™

Advanced CRM deduplication & cleansing

Studio Logo

DQ Studio™

All in one data migration & integration engine

On Demand Logo

DQ on Demand™

A complete suite of data quality improvement services

Excel Logo

DQ for Excel™

The ultimate solution for customer data improvement in Excel

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The best way to learn more about how our solutions can help is to let us know more about your data challenge.

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