AWS Data Integration: Master Data Management Pilot on AWS

Overview Fragmented master data across source systems creates duplicate records, unreliable reporting, and failed governance initiatives. Adastra's AWS data integration engagement delivers a structured, fixed-scope MDM pilot using your existing MDM technology on AWS, establishing a governed master data foundation that can be expanded in future phases. Covering one data domain across 2 to 3 source systems and up to 50 fields, the engagement uses AWS Glue for data wrangling and AWS Glue Data Catalog for metadata indexing, delivering a validated, production-ready MDM solution through the development stage in 14 weeks.

Approach Adastra applies a consolidation-style MDM approach to deliver a fast, focused pilot that produces immediate value while establishing the architecture and governance framework for future expansion. The engagement begins with data model design for the domain in scope, then moves through data ingestion, quality rules implementation, matching and consolidation logic, and governance workflow configuration. The engagement is scoped to the development stage and does not include production deployment, which follows in subsequent phases aligned to the client's QA and UAT cycles. The client's MDM technology must be installed and configured prior to the start of the engagement.

Activities

• Define and implement the data model for the data domain in scope.
• Design and ingest data, and implement data quality rules for filtering, parsing, standardization, cleansing, validation, and enrichment.
• Define and implement matching and consolidation fields, rules, and processes to establish the Golden Record and its lineage to source.
• Define and implement master data governance business workflows and processes.
• Assess and configure AWS Glue Data Catalog to index the location, schema, and runtime metrics of domain data.

Deliverables

• Data model for the domain in scope.
• Data quality rules implementation, process, and procedure.
• Mastering and consolidation rules, process, and procedure.
• Data quality and master data governance business processes and RACI framework.
• CRUD lifecycle definition for master data management.
• MDM pilot solution for phase 1.
• Data ingestion process with implemented data quality rules.
• Matching and consolidation process with lineage to source.
• Master data governance business workflows and processes.

Outcomes

• A validated, development-complete MDM pilot solution built on your existing MDM technology and AWS infrastructure.
• Governed Golden Record with full lineage to source systems across the defined data domain.
• Data quality rules, matching logic, and governance workflows ready for expansion to additional domains and source systems.
• Clear path to production deployment and full-scale MDM implementation in subsequent phases.
• Improved data reliability and master data consistency as the foundation for reporting, AI, and downstream system integration.

Adastra: Your AWS Partner for Data, AI, and Cloud Adastra is an AWS Premier Consulting Partner with over 25 years of experience delivering data, AI, and cloud solutions across financial services, retail, manufacturing, and distribution. Our AWS data integration and MDM engagements combine deep data quality expertise, proven governance methodologies, and AWS Glue capabilities to deliver fast, expandable pilots. Adastra gives data and IT leaders a trusted partner to establish master data governance foundations that scale with confidence.