DQ Global is a data quality software company specialising in helping organisations improve, manage and maintain the quality of their customer and CRM data.

As a Microsoft ISV, DQ Global has particular expertise in Microsoft Dynamics 365 and helps organisations address data challenges including duplicate records, inaccurate and inconsistent information, data cleansing, CRM migrations and integrations, and the creation of trusted customer records.

DQ Global works with organisations, Microsoft Partners and other technology providers to help transform unreliable CRM data into accurate, consistent and usable information.

The objective is simple: better data leads to better decisions.

CRM platforms are central to sales, marketing, customer service, reporting and increasingly AI. However, the value organisations receive from these systems depends heavily on the quality of the data within them.

Common problems include:

• Duplicate Accounts, Contacts and Leads
• Incomplete customer records
• Inconsistent names, addresses and other values
• Incorrect or outdated information
• Multiple versions of the same customer
• Data quality issues created by imports and integrations
• Poor-quality data being moved into a new CRM
• Unnecessary CRM and Dataverse storage consumption
• Unreliable reporting and analytics
• Difficulty establishing a trusted Single Customer View

These problems can increase manual work, undermine confidence in reporting, affect customer experiences and reduce the effectiveness of automation and AI.

DQ Global provides technology and expertise for identifying, correcting and preventing these problems

DQ Global's approach covers the customer data lifecycle.

Capture

Prevent avoidable data quality problems at the point information enters the CRM. This includes helping organisations improve consistency, completeness and uniqueness rather than continually correcting the same problems later.

Cleanse

Identify and correct inaccurate, incomplete or inconsistent customer information. Cleansing can include standardisation, formatting, validation, verification and bulk data improvement.

Consolidate

Identify records referring to the same entity and bring fragmented information together. This helps organisations remove duplicates and work towards a trusted Single Customer View.

Optimise

Manage unnecessary data and help organisations maintain an efficient CRM environment as their data volumes grow.

The aim is not simply to complete a one-off data clean-up. Customer information changes continuously, so sustainable data quality requires organisations to prevent new errors while monitoring and improving existing information.

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

DQ Studio has a broader cross-system role.

A simple way to understand the difference is:

DQ for Dynamics: improve and manage customer information inside Dynamics 365.

DQ Studio: connect, cleanse, transform and move information between systems.

The two products can also complement one another. DQ Studio can help organisations cleanse and migrate information into Dynamics 365, while DQ for Dynamics can help maintain its quality after it arrives in D365.

Poor-quality data rarely remains isolated to the CRM.

If duplicate, incomplete or inconsistent customer information is used for reporting, automation or AI, the problem travels downstream.

Different departments can see different versions of the same customer. Reports can become unreliable. Employees spend time manually checking records. Automations can act on incorrect information.

AI raises the stakes further because AI applications can process and act on information at much greater speed and scale.

Reliable AI therefore depends on reliable underlying data.

Building an AI-ready organisation is not simply an AI technology project.

Customer data needs to be accurate, complete, consistent, timely and sufficiently governed for its intended purpose.

DQ Global helps organisations improve this underlying data foundation so that Dynamics 365, analytics, automation and AI applications can operate using customer information the business can trust.

Better data. Better decisions.