Data Quality Management
Keep the numbers trustworthy as your data changes.
We maintain validation, matching, and reconciliation rules across connected datasets, then investigate the discrepancies that make teams question their reports.
Part of Cass & York’s Managed Data & Integration Services. Coverage is defined around the systems and workflows your team depends on.
[01] Where support matters
Keep the daily work moving.
Two applications hold different totals for the same customer. A duplicate account splits service history across records. We trace discrepancies back to the source and give the responsible team the evidence needed to correct them.
[02] What we handle
Data Quality Management
Maintained quality checks, an exception review process, and documented ownership of important business definitions.
- +Check required fields, accepted values, identifiers, and record relationships.
- +Review duplicate candidates and uncertain customer or account matches.
- +Reconcile records and totals across agreed source systems.
- +Update validation rules when source fields or business definitions change.
[03] Start with your environment
Define the scope around your operation.
- +Which system owns each business fact?
- +What makes a record complete and a match acceptable?
- +Who reviews exceptions and approves corrections?
[04] Ongoing ownership
Know what is covered.
The support agreement defines covered systems, business-hours availability, priorities, response commitments, and reserved maintenance capacity. We review incidents and improvements with your team. Larger enhancements are scoped separately.
[05] Show us your workflow
Put a clear owner behind the work.
Show us the systems and workflows that need ongoing care. We’ll assess the environment and define a support scope around your priorities.
Book a Workflow Call →