In today’s rapidly evolving digital landscape, data serves as the cornerstone for decision-making and innovation. As organisations progress along the data maturity model, their focus shifts from basic data collection and reporting to more advanced, automated, and insight-driven solutions. Recognising this journey is crucial to align strategies, resources, and ambitions effectively. One way to articulate … Read more
Genesis: “Ignite a culture of exploration and innovation by enabling every team to create their own foundational reports to solve immediate business challenges, using accessible tools and guidance.” Custom Built: “Deliver highly tailored, impactful reporting solutions that address specific business needs, empowering decision-makers with precise insights.” Product: “Standardise and scale reporting solutions into robust, repeatable … Read more
The GOSP (Governance-Oversight-Support-Perform) model can be applied to Data Governance and Security to create a structured, proactive framework that ensures data is managed ethically, securely, and in alignment with organisational goals. By addressing both governance and security under this model, organisations can build trust, maintain compliance, and safeguard their data assets. Governance in Data Governance … Read more
The GOSP (Governance-Oversight-Support-Perform) model can significantly enhance Data Warehouse (DWH) and Data Engineering processes. By focusing on structured governance, proactive oversight, enabling support, and high-performance delivery, this framework ensures robust and scalable data infrastructure aligned with organisational goals. Governance in Data Warehouse and Data Engineering Governance establishes the strategic direction and accountability framework for the … Read more
The GOSP (Governance-Oversight-Support-Perform) model can be effectively applied to enhance Data Analysis and Reporting. By aligning data processes with GOSP principles, organisations can achieve greater clarity, alignment, and consistency in their data strategies and deliverables. Governance in Data Analysis and Reporting Governance sets the foundation for structured, reliable, and ethical data management and reporting practices. … Read more
BMT strives to deliver clarity through complexity and, with this, we start at home. This Reporting Strategy provides the framework on how we will deliver internal reporting that is clean, accurate and best in class. Purpose and Vision The Reporting Strategy is designed to unify BMT’s approach to internal reporting, embedding consistent standards for quality, … Read more
1. Base DataViews & DataMart Architecture 2. CRM and Transactional Data 3. Data Security and Governance 4. Signposting of Insights 5. Metadata and Data Lineage 6. Master Data Management (MDM) 7. ETL/ELT and Data Integration Processes 8. Analytics and Data Modelling 9. Data Lifecycle Management & Archiving 10. Data Quality and Stewardship 11. Real-Time Data … Read more
Objective: Design, develop, deploy, and maintain Datamarts with a focus on performance, security, and usability. Steps: Data Discovery and Requirements Gathering Datamart Design and Security Planning MVP Development and Iteration Deployment and Go-Live Maintenance and Performance Testing
Objective: Efficiently acquire data from various sources and ensure secure, accurate, and timely transport to the data lakehouse and data warehouse. Steps: Data Source Identification and Mapping Data Profiling and Classification Data Acquisition and Integration Transport to Data Warehouse Testing and Validation
It is essential for BMT to take a holistic approach and adopt a combination of different strategies, such as Data Ops, Data Observability, Data Mesh, and Data Quality Checks to improve the quality of data. Despite the differences in focus, one common thing among the frameworks strategies above is the need for a unified governance … Read more