Standard Operating Procedures (SOPs) guide the DOM’s processes, ensuring efficiency and consistency at each stage. Purpose & Scope of the Data Operating Model Standard Operating Procedures Across Key Stages Data Planning SOPs Data Acquisition SOPs Data Processing & Maintenance SOPs Data Publish & Share SOPs Snapshot & Archive SOPs Data Flow and Governance within the … Read more
Data quality management within the DOM ensures that data remains accurate, consistent, timely, and reliable across the organisation. Accuracy How well does a piece of information reflect reality? Accuracy refers to the degree in which the data correctly portrays the real-world situation in which it was originally designed to measure. Data must be meaningful and … Read more
The DOM’s governance framework defines clear roles, policies, and responsibilities, ensuring data is trustworthy, compliant, and effectively managed across its lifecycle. Data Governance Structure: Establishes an oversight committee and data stewards across departments to maintain quality. Roles & Responsibilities: Assign data owners, stewards, and custodians to manage, validate, and secure data across departments. Quality Control … Read more
A Data Warehouse & Data Mart Operating Model alone does not create quality and value but requires an intersection of process, people, and technology conceived around the data model to provide its actual value. Building processes and organisational structures to deliver compelling data products to users is the realisation of what the Data Operations Model … Read more
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: Medallion Architecture To facilitate structured … Read more
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 … Read more
The Data Operating Model (DOM) at BMT provides a comprehensive and structured framework that supports strategic decision-making and operational efficiency across the organisation. Developed to enhance data accessibility, quality, governance, and scalability, the DOM plays a crucial role in enabling data-driven decision-making and aligning data practices with BMT’s core business objectives. Key Objectives The DOM … Read more
Purpose: Outlines how BMT will leverage emerging trends to drive ongoing innovation. Future Trends: Innovation Roadmap:
Purpose: Develop data literacy across BMT to empower effective data usage, fostering a workforce capable of leveraging data confidently and accurately. Framework: Measurement: Track training completion rates, participant feedback, and progress within the competency framework, setting up pathways for certification within the Data Wrangler Academy to formalise skills development across the organisation.
Purpose: The purpose of this Risk Management Framework is to identify and address potential risks associated with the Data Operating Model (DOM). By proactively managing these risks, BMT can ensure the continuity, security, and compliance of its data operations, reinforcing stakeholder trust and the reliability of data-driven decision-making. Key Risks and Mitigation Strategies: Data Security … Read more