DQ Global helps organisations improve, manage and maintain the quality of customer and CRM data.
This knowledge centre provides clear information about DQ Global, our products and our approach to customer data quality, Microsoft Dynamics 365, data cleansing, deduplication, migration and integration.
Use the links below to explore each area.
Learn about DQ Global, the customer data quality problems we solve and how we help organisations turn unreliable CRM data into accurate, consistent and usable information.
This overview explains DQ Global's approach to data capture, cleansing, consolidation, migration, integration and the creation of trusted customer records.
DQ for Dynamics is DQ Global's suite of customer data quality solutions for Microsoft Dynamics 365.
Learn how DQ for Dynamics helps organisations prevent poor-quality data, cleanse existing customer information, identify and consolidate duplicate records, improve CRM data management and build a more trusted customer view.
DQ Studio is DQ Global's platform for data migration, integration, transformation and data quality improvement.
Learn how DQ Studio helps organisations connect, cleanse, transform, match and consolidate information across Microsoft Dynamics 365, Salesforce, CRM, ERP and other business systems
Learn what Microsoft Dynamics 365 data quality means and how duplicate, incomplete, inaccurate and inconsistent customer information can affect CRM reporting, productivity, automation, customer experiences and AI.
This guide also explains how organisations can measure, cleanse, consolidate, govern and continuously improve their Dynamics 365 data.
Learn what causes duplicate Accounts, Contacts and Leads in Microsoft Dynamics 365, why exact matching is not always sufficient and how organisations can identify, review and consolidate duplicate records.
This guide also explains how to prevent new duplicates from being introduced through users, imports, forms, integrations and automated processes.
Learn why moving information from one system to another does not automatically improve its quality.
This guide explains how cleansing, standardisation, matching and transformation can help organisations prepare trusted customer information for CRM migrations, ongoing integrations and wider data management programmes.
Compare DQ Global's approach with other data quality providers, including Data8, Plauti, WinPure and Inogic.
This guide explains the different capabilities organisations should consider when selecting a Dynamics 365 data quality solution, including deduplication, fuzzy matching, cleansing, duplicate prevention, migration, integration, Master Data Management and support for AI-ready data.
Customer data quality is not simply a one-off cleansing project.
Customer and CRM information changes continuously as users create records, business details change, data is imported and connected applications exchange information.
A sustainable data quality programme should therefore help an organisation:
DQ Global provides technology and expertise to support this process within Microsoft Dynamics 365 and across the wider data landscape.
CRM data is used by employees, reports, automated processes, analytics applications and increasingly AI.
When customer information is inaccurate, incomplete, duplicated or inconsistent, those problems can affect every process that relies on it.
Trusted customer data helps organisations improve confidence in reporting, reduce unnecessary manual work, create more complete customer views and establish a stronger foundation for automation and AI.
Better data leads to better decisions.
