- Purpose: Build a robust governance framework to maintain data quality, ensure regulatory compliance, and protect sensitive information, setting the standard for data management.
- Scope: This BHAG encompasses data governance practices, quality control processes, compliance with regulations, and security protocols.
- High-Level Intent: Achieve excellence in data governance by ensuring BMT’s data is trustworthy, compliant, secure, and accessible only to authorised users.
Start-up:
- Purpose: Set foundational data governance standards and appoint data stewards.
- Goal: Establish data handling and access protocols, including initial data quality checks.
Foundation:
- Purpose: Formalise governance policies and quality standards across departments.
- Goal: Develop a Data Governance Framework and introduce quality assessments in critical areas.
Reporting:
- Purpose: Ensure consistent, high-quality data supports reliable reporting.
- Goal: Embed regular quality checks and provide reporting dashboards on data quality metrics.
Predictive:
- Purpose: Extend governance to cover advanced analytics and machine learning models.
- Goal: Implement governance and monitoring processes for predictive models, including data lineage and usage tracking.
Embed:
- Purpose: Achieve industry-recognised excellence in data quality and governance.
- Goal: Continuously maintain a high standard in data quality metrics and compliance, with certification where applicable.