BHAG5: Strengthen Data Governance and Quality to Achieve Recognised Excellence
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Governance & Leadership
BHAG4: Deliver Predictive Insights in Key Business Areas
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BHAG3: Develop a Data Literacy Pathway Leading to a Wrangler Academy
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BHAG2: Deliver Sustainable, Accessible Data Products as a Single Source of Truth
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BHAG1: Embed Data-Driven Culture Across All Operations
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Foundational Principles for Data Engineering in Support of the BHAGs
Data Engineering is a crucial enabler for BMT’s data transformation goals. The following principles define the scope and commitments of Data Engineering to support our broader strategic aims: Conscious Design Promote forward thinking around usability and interoperability of the data and user-centric design principles of sustainable data products Purpose-Driven Platform: The modern data platform is … Read more
Revolutionise Data Infrastructure
Aim to completely transform the data infrastructure of the organisation, making it agile, scalable, and highly efficient. This could involve implementing cutting-edge technologies like distributed computing, real-time processing, and machine learning pipelines.
Zero Downtime Data Systems
Set a goal to achieve zero downtime for data systems. This would involve building robust redundancy, fail-over mechanisms, and automated recovery processes to ensure continuous data availability.
Data Democratisation
Strive to make data accessible to everyone in the organisation, regardless of technical expertise. Implement self-service analytics tools, intuitive dashboards, and comprehensive data documentation to empower all stakeholders to make data-driven decisions.
AI-Driven Data Operations
Work towards implementing AI and machine learning algorithms to optimise data operations. This could involve automating data quality checks, anomaly detection, and predictive maintenance for data infrastructure.