Data Operating Model
For BMT to remain competitive in a rapidly evolving technological landscape, it must be able to adapt quickly to insights and new developments. The modern enterprise data warehouse model within the DOM facilitates access to reliable, timely, and structured data insights, empowering informed decision-making. Key benefits include:
- Enhanced Data Governance: The model reduces data governance debt by implementing consistent policies and standards.
- Accelerated Speed to Value: Enables prompt access to accurate, timely data.
- Simplified Data Estate: Reduces complexity and democratizes access to data across BMT.
- Centralisation and Standardisation: Standardises disparate data sources for consistent insights.
- Reduced IT Support Costs: Resilient, future-proof solutions that require minimal maintenance.
- Developer-Friendly Environment: Supports efficient development practices that align with industry standards.
- Scalable for Future Needs: Accommodates expanding data requirements and emerging trends.
Medallion Architecture
To facilitate structured data processing and analysis, the DOM utilises a multi-layered medallion architecture, with each layer adding value to data through quality checks, governance protocols, and contextually relevant transformations.
Bronze Layer (Raw Data Ingestion)
Purpose: Ingest raw data from internal systems, external sources, and customer interactions.
Processes: Standardised ingestion protocols capture data in its native form, preserving its integrity.
Quality Focus: Initial data profiling and validation to eliminate redundancies early.
Silver Layer (Data Alignment and Cleansing)
Purpose: Transform raw data into a standard format aligned with BMT’s Common Data Model (CDM).
Processes: Apply cleansing, validation, and transformation processes to resolve discrepancies.
Quality Focus: Ensure accuracy, completeness, and consistency, making data fit for reporting.
Gold Layer (Enriched Data Marts)
Purpose: Aggregate data into subject-specific views for departmental access (e.g., Finance, HR, Operations).
Processes: Develop data marts tailored to specific business functions, enhancing usability and accessibility.
Quality Focus: Refine data with deduplication and completeness checks to enable operational insights.
Platinum Layer (Advanced Analytics and AI)
Purpose: Enable advanced analytics, predictive modelling, and machine learning applications.
Processes: Utilise enriched data from Gold to train models and provide predictive insights.
Quality Focus: Maintain high standards for timeliness and accuracy to support strategic foresight.