Data Governance: Controls for Trusted Data

A sample BA case study focused on data quality rules, metadata, lineage, issue remediation, controls, and business stewardship workflows.

This section is being developed as a sample case study showing how business and technology teams can define, document, and operationalize data governance and data quality controls across financial services platforms.

The case study will demonstrate how a Business Systems Analyst can identify critical data elements, capture business definitions, document lineage, define data quality rules, support exception management, and ensure reporting outputs are traceable to trusted source data.

Planned focus areas include:
• Critical data element identification
• Business definitions and metadata capture
• Source-to-target and source-to-report lineage documentation
• Completeness, validity, accuracy, timeliness, and consistency rules
• Data quality exception workflow and issue remediation
• Stewardship review and certification process
• Sample user stories, acceptance criteria, and UAT scenarios

This is a sample portfolio artifact created for learning and demonstration purposes. It does not contain confidential information from any employer, client, or vendor.