Purpose:
Performance metrics and KPIs provide a structured way to evaluate the impact of the Data Operating Model (DOM) on BMT’s strategic objectives. By defining clear indicators, BMT can track and demonstrate progress in data centralisation, data quality, user adoption, and operational efficiency, ensuring alignment with broader business goals.
Balanced Scorecard – Core KPIs:
Customer-Centric Metrics
- Data Accessibility for Key Teams: Track accessibility percentage for core datasets (target: initial 75%, with a gradual increase).
- User Engagement: Frequency of myBMT usage by customer-facing roles to assess data reach and value.
Operational Efficiency Metrics
- Data Quality Baseline: Quarterly assessments focusing on accuracy and completeness of centralised data.
- Data Processing Reliability: Track on-time data refresh completion rates (target: 85%+ to start) to support reliable, regular reporting.
Innovation and Growth Enablement
- New Data Sources Onboarded: Initial target of onboarding 2–3 new data sources per year, with growth tied to demand and evolving needs.
- Foundational Analytics Usage: Measure the number of users accessing base analytics in myBMT to monitor awareness and uptake of data-driven insights.
Environmental Responsibility and Efficiency
- Data Centre Usage Tracking: Begin with quarterly tracking of cloud-based data storage and processing energy use.
- Reduction in Redundant Data Processing: Quarterly reviews aimed at identifying and reducing unnecessary data processing activities.
Aspirational Future KPIs:
As BMT’s data maturity advances, the following aspirational KPIs will provide long-term targets:
- Advanced Analytics Adoption: Number of predictive models operationalised.
- Data Quality Compliance Target: Achieve 90% adherence to comprehensive data quality standards.
- Environmental Efficiency Impact: Target reduction in carbon footprint related to data infrastructure.