Enterprise MDM Implementation on AWS

For most enterprises, master data fragmentation is not a new problem – it is a persistent one. Duplicate records, conflicting attributes, unresolved entity relationships, and manual reconciliation that slows down reporting and decision-making. The difference between organizations that solve it and those that keep managing around it is not awareness. It is having a governed, enterprise-grade MDM program that actually runs.

What production-scale MDM actually requires

Getting there requires more than good match logic. It requires source integrations that hold up under real data volumes, a stewardship operating model that business teams can own day to day, governance that survives past go-live, and an architecture that can scale as domains and data volumes grow. Rysun’s Enterprise MDM implementation on AWS offering is built to deliver all of that.

What you get

By the end of this engagement your organization will have a governed master data program running on AWS – with real source integrations, operational stewardship workflows, and a governance framework your teams can own and extend.

• Source integrations – batch, event-driven, and API-based – from internal, partner, and third-party systems
• Match, merge, and survivorship logic across one or more domains
• Data governance framework covering policies, stewardship roles, lineage, and audit controls
• Stewardship operating model with workflows, exception handling, approval chains, and KPIs
• Phased domain rollout plan prioritized by business impact and data readiness
• Handover, training, and post-go-live stabilization support

Typically engaged by Chief Data Officers, enterprise architects, and data platform leads who have a defined MDM direction and are ready to move into execution. Engagements run 8+ weeks in phases. Scope, timeline, and pricing are finalized through a private offer following an initial scoping discussion.

Recommended AWS Stack

Production AWS MDM architecture using services such as Amazon S3, AWS Glue, Amazon RDS or Redshift, AWS Lambda, Amazon OpenSearch Service, Amazon Bedrock for GenAI-assisted stewardship and match explanation, Amazon SageMaker AI for advanced trust scoring or entity resolution, and Amazon QuickSight for stewardship and data quality dashboards.