Updated product page: Dynamics / Business Central solutions

Microsoft data quality

Data-quality governance for Dynamics 365, Dataverse, and Business Central paths.

Microsoft environments already include native data controls such as Dataverse duplicate detection. Refinery complements those controls by governing cross-system business paths before records spread across CRM, ERP, analytics, and AI.

Where native controls often stop

Native duplicate detection and validation are valuable, but many operational failures happen across system boundaries: CRM to ERP sync, web form to Dynamics, enrichment to account records, or Business Central customer-data updates.

Dynamics 365 and Dataverse can help teams define tables, fields, duplicate detection rules, business rules, and validation logic. Those controls matter. The recurring pain usually appears when data moves: a web form creates a lead, an import updates contacts, a partner feed changes account attributes, a CRM opportunity syncs to Business Central, or an AI assistant reads account context for a next-best-action recommendation.

That is where path-level governance becomes useful. A record may be acceptable inside one application but risky when it becomes the trigger for ERP sync, finance reporting, customer communication, or AI automation.

Common Microsoft data-quality issues

How Refinery fits Microsoft-centric teams

Partner wedge:

Dynamics and Business Central partners can use Refinery as a governed baseline layer for clients with recurring post-go-live data-quality pain.

Recommended first path

Start with a 14-day shadow-mode baseline for inbound leads, account/customer sync, or CRM-to-Business Central customer records.

A good first Dynamics path is web form to Dynamics lead creation. Refinery observes each submitted record, checks required fields and formats, detects possible duplicates, evaluates source trust, and records whether the lead would be accepted, normalized, blocked, or sent to review. Another strong path is Dynamics account to Business Central customer sync, where field completeness, identity confidence, and writeback verification matter before downstream operations rely on the customer record.

Partner use case

Microsoft partners often inherit data-quality problems after go-live. The implementation may be complete, but the client still struggles with duplicate accounts, poor sync hygiene, manual cleanup, reporting distrust, and AI readiness concerns. Refinery gives partners a practical baseline layer: measure the issue, show the path-level evidence, and help the client govern high-value records without promising that native controls solve every cross-system problem.

What the baseline measures

FAQ

Does Dynamics 365 already have duplicate detection?

Yes, Dynamics and Dataverse include native duplicate detection and validation capabilities. Those controls are useful, but many data-quality failures happen across business paths and system boundaries.

How is Refinery different from Dataverse duplicate detection?

Refinery is path-oriented. It can govern records moving from forms, imports, enrichment, CRM, ERP, Business Central, analytics, or AI workflows with policy, review, writeback verification, and receipts.

Can Refinery help with Dynamics 365 to Business Central sync?

That is a strong first use case. Refinery can measure and govern customer, account, and sync records before bad data creates downstream operational pain.

Can Refinery run in shadow mode first?

Yes. A shadow-mode baseline can show what would be blocked, fixed, or reviewed before production writes are enabled.

Is Refinery for Microsoft partners?

Microsoft Dynamics and Business Central partners can use Refinery as a baseline and governance layer for clients with recurring post-go-live data-quality pain.

Get a Dynamics 365 shadow-mode baseline.