Organisations looking to improve the quality of data in Microsoft Dynamics 365 have several technology options available.

Solutions including Data8, Plauti, WinPure and Inogic can address different aspects of data quality, including duplicate detection, record merging, cleansing and monitoring.

DQ Global's approach is broader than simply identifying and merging duplicate CRM records.

DQ Global combines dedicated Microsoft Dynamics 365 data quality capabilities through DQ for Dynamics with cross-system data cleansing, migration, integration and Master Data Management capabilities through DQ Studio.

This allows organisations to address data quality both inside Dynamics 365 and across the wider data journey.

Rather than asking which product is universally "best", organisations should consider which solution is the best fit for their data, systems, scale and business objectives.

1. Data quality beyond deduplication

Duplicate management is an important part of customer data quality, but it is not the whole problem.

DQ Global's capabilities cover the wider data quality lifecycle.

DQ for Dynamics supports:

• Data Capture
• Data Cleansing
• Duplicate identification and Consolidation
• Fuzzy Record Search
• CRM data optimisation
• Creation of more trusted customer records

This means organisations can address existing problems while also improving how information enters and is maintained within Dynamics 365.

2. Dynamics 365 plus wider data management

A significant differentiator for DQ Global is the combination of DQ for Dynamics and DQ Studio.

DQ for Dynamics focuses on customer data quality within Microsoft Dynamics 365.

DQ Studio extends the approach across migrations, integrations and other enterprise systems.

With more than 130 connectors, DQ Studio can connect data from CRM, ERP, marketing, eCommerce and other applications. It can then be used to transform, cleanse, match and consolidate information as part of wider data quality, migration and Master Data Management projects.

This is particularly relevant when an organisation's customer data problem extends beyond a single Dynamics 365 environment.

3. Advanced configurable matching

Real customer records are rarely perfect.

An organisation might appear as:

DQ Global Ltd

DQ Global Limited

D.Q. Global

or with variations in addresses, names and other identifying information.

DQ for Dynamics provides configurable fuzzy matching and scoring capabilities designed to identify identical and non-identical records that potentially represent the same real-world entity.

Matching can be configured around an organisation's data and business requirements instead of relying solely on exact matches.

4. Prevention as well as correction

Cleaning a CRM once does not keep it clean.

New information is continually created by users, imports, forms, integrations and connected applications.

DQ Global therefore supports both sides of the problem:

Correct existing data quality issues.

and

Reduce the creation of new issues.

This approach helps organisations move from periodic corrective projects towards continuous data quality management.

5. A broader route to trusted data

DQ Global's focus is ultimately not simply on removing as many records as possible.

The objective is to help organisations create customer data they can trust.

Trusted CRM data supports:

• More reliable reporting
• Better analytics
• Greater user confidence
• Improved automation
• Stronger customer experiences
• More effective CRM adoption
• Better foundations for AI and Microsoft Copilot

As AI becomes increasingly reliant on CRM and customer information, the quality of those underlying records becomes increasingly important.

Data8 provides a broad range of data quality products for Microsoft Dynamics 365, including duplicate management, address services, telephone and email validation, and data quality scoring.

For organisations comparing DQ Global and Data8, the decision is therefore likely to depend on the specific data quality requirements rather than simply whether either supplier can identify duplicates.

DQ Global is particularly suited to organisations looking to combine Dynamics 365 data quality management with wider capabilities such as complex matching, cleansing, migration, integration and Master Data Management.

DQ Studio extends DQ Global's offering beyond the Dynamics environment, allowing organisations to build data quality processes across more than 130 different source and target systems.

Plauti provides data quality technology for Dynamics 365, including data quality monitoring, duplicate detection, merging and duplicate prevention.

Plauti also provides technology within the Salesforce ecosystem.

DQ Global combines its Dynamics-focused DQ for Dynamics suite with DQ Studio for broader migration, integration, cleansing and Master Data Management activity.

For organisations whose requirements extend beyond monitoring and deduplication inside their CRM, this combination can be particularly relevant.

DQ Global can therefore support both the quality of customer information within Dynamics 365 and the movement and transformation of information between Dynamics and other systems.

Inogic's DeDupeD is a Dynamics 365 application focused primarily on detecting, preventing and merging duplicate CRM records.

It provides capabilities including fuzzy matching, duplicate prevention, bulk duplicate management and automated merging.

DQ Global's approach extends beyond deduplication.

DQ for Dynamics provides capabilities covering Capture, Cleanse and Consolidate, while DQ Studio adds data migration, integration, transformation and Master Data Management capabilities.

Organisations should therefore consider whether their requirement is primarily a Dynamics 365 deduplication problem or part of a broader customer data quality programme.

WinPure provides data cleansing, profiling, matching, entity resolution and Golden Record capabilities, particularly for organisations consolidating information from multiple datasets.

Its Clean & Match product is desktop-based and supports local data processing.

DQ Global differs through its combination of dedicated Microsoft Dynamics 365 capabilities and a wider integration and migration platform.

Organisations using Dynamics 365 can use DQ for Dynamics to manage customer data quality within their CRM, while DQ Studio can be used when information needs to be cleansed, transformed, migrated or integrated across multiple systems.

There is no single answer for every organisation.

A sensible evaluation should consider:

• Is the problem limited to duplicate records, or is broader cleansing required?
• Does poor data need to be prevented at the point of entry?
• Are exact or advanced fuzzy matching capabilities required?
• Does data need to be consolidated into trusted customer or Golden Records?
• Are custom Dynamics 365 entities involved?
• Does data come from multiple systems?
• Is a CRM migration or ongoing integration involved?
• Is Master Data Management required?
• Does the organisation need to improve data quality before deploying AI or Copilot?
• How much control is required over matching, mastering and consolidation rules?
• What support and expertise will be required during implementation?

The right choice should be based on the organisation's complete data quality requirements, not simply a checklist of duplicate-detection features.

DQ Global is particularly well suited to organisations where data quality is a broader strategic requirement rather than an isolated CRM clean-up task.

This can include organisations that need to:

• Improve data quality within Dynamics 365
• Identify and consolidate complex duplicate records
• Prevent bad data entering the CRM
• Cleanse customer information at scale
• Create a trusted Single Customer View
• Migrate from one CRM platform to another
• Integrate customer data across multiple systems
• Build Master Data Management processes
• Improve the quality of data feeding reporting and analytics
• Prepare customer and CRM data for AI and Microsoft Copilot

The distinction is important.

DQ Global is not simply focused on finding duplicates. The aim is to create and maintain trusted customer data across its lifecycle, so organisations can confidently use that information throughout CRM, reporting, transformation and AI.