The Data Operating Model (DOM) is designed to support BMT’s strategic objectives through a structured, high-quality data framework. It centralises, secures, and optimises data handling to enable agile, data-driven decision-making across BMT’s global operations. This model outlines how data is acquired, transformed, governed, and made accessible to provide a “single source of truth,” supporting consistent insights and fostering a culture of innovation and continuous improvement.
Objectives:
- Centralise Data for Consistent Insights: Unified data access through a single repository.
- Ensure Data Quality and Integrity: Structured governance to maintain data reliability.
- Support Timely, Actionable Insights: Multi-layered architecture for varied data needs.
- Enable Continuous Improvement: Adaptable design for evolving business and data needs.
Scope:
The DOM applies to data governance, architecture, integration, security, user accessibility, and data quality across BMT’s operational and strategic levels.
Integration with Business Processes
The DOM strategically integrates with BMT’s core business objectives, from customer insights and project tracking to continuous innovation and operational efficiency.
Enhancing Customer Insights: Consolidates customer data across touchpoints, enabling proactive service improvements.
Optimising Operational Efficiency: Real-time data access supports faster response times, streamlining workflows.
Driving Innovation: Supports advanced analytics for continuous product and service improvement.
Ensuring Security and Compliance: Embedded security protocols support data privacy, with audit logs ensuring transparency.
Supporting Environmental Goals: Cloud-based, resource-efficient architecture reduces energy consumption, supporting sustainability targets.
Adaptability and Scalability
The DOM is designed to evolve alongside BMT’s growing data needs, ensuring it can scale regionally, adopt new sources, and support advanced analytics as demand rises.
Regional and Departmental Scalability: Cloud-based infrastructure enables seamless expansion across geographic regions and departments.
Integration of New Data Sources: New sources are incorporated efficiently, with standardised ingestion to maintain quality.
Flexible for Evolving Analytics Needs: Supports advanced analytics through modular medallion architecture, allowing for easy integration of new analytical tools and capabilities.
Sustainable Resource Optimisation: Optimises data storage and processing to align with BMT’s environmental targets.
Key Performance Metrics and Success Indicators
The DOM includes a balanced scorecard that aligns with BMT’s strategic pillars, providing KPIs to measure success across quality, accessibility, and impact.
Data Quality Metrics: Consistency, accuracy, completeness, and timeliness checks.
Operational Efficiency Metrics: Data latency, accessibility rates, and system uptime.
Innovation & Growth Enablement: Number of advanced analytics models in use, speed of onboarding new data sources.
Environmental Impact Metrics: Reduction in redundant data processing, energy consumption in cloud storage.