AWS Data Governance: Data Quality and Metadata Assessment

Overview Poor data quality creates unreliable reporting, failed projects, and costly business decisions. Adastra's aws data governance engagement delivers a structured, fixed-scope data quality analysis and metadata collection using Ataccama ONE, AWS Glue for data wrangling and consolidation, and Amazon S3 for data persistence. In 6 to 8 weeks, Adastra profiles up to 100 data elements and 60 business rules, enriches your data dictionary, quantifies the business impact of data quality issues, and delivers a clear foundation for future governance and AI-readiness initiatives.

Approach Using Ataccama ONE, Adastra analyzes the defined dataset against data quality dimensions including completeness, validity, conformity, consistency, integrity, and duplicity. AWS Glue is used for data wrangling and consolidation, with data persisted in Amazon S3. Adastra collects, creates, and enriches the data dictionary based on profiling results and business validation, and evaluates the business impact of all data quality issues identified. The engagement is delivered by a principal DQ consultant, a DQ analyst, and a business analyst over 6 to 8 weeks, scoped to up to 100 data elements and 60 data quality business rules.

Activities

• Conduct detailed data profiling at field, cross-field, table, and cross-table levels, including duplicate analysis, foreign key analysis, and business rules validation.
• Collect and enrich metadata to build and expand the data dictionary based on profiling results and business input.
• Identify data quality issues and validate business impact with stakeholders.
• Develop recommendations and define next steps for data quality improvement and governance initiatives.

Deliverables

• Data profiles covering all profiled data elements and quality dimensions.
• Metadata data dictionary matrix enriched through profiling and business validation.
• Data quality issues and business impact presentation.
• Next steps and recommendations report.

Outcomes

• Clear, quantified understanding of data quality issues and their business impact across the defined dataset.
• Enriched data dictionary providing a governed, reliable metadata foundation for future projects.
• Defined focus areas for future data quality, governance, and AI-readiness initiatives.
• Pilot foundation for broader data quality profiling and metadata collection programs across the organization.

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 governance engagements combine deep data quality expertise with proven methodologies and leading tools including Ataccama ONE. With AWS Glue and Amazon S3 at the core, Adastra gives organizations a trusted partner to understand, quantify, and remediate data quality issues with confidence.