Objectives

2.1 BMT’s Strategy and Vision BMT aims to be a global leader in addressing the most significant engineering challenges of our time. Our vision is to excel in ship design and become a credible digital competitor by transforming asset life cycle and environmental services. We strive to be recognised for our collaborative approach, investing in … Read more

Introduction

1.1 Why We Need a Data and Reporting Strategy In BMT we see a rapidly changing landscape of risks, opportunities and constraints around data.  Whether this is the data we use to make decisions every day to how we support our customers or our employees.  Our Business Strategy and our Business Risks build a picture … Read more

Integration with Existing Systems

(Redrafted for Alignment with Integration Strategy) Key Takeaways 13.1 Integrations Strategy The Integration Strategy prioritises seamless connections between Enterprise Applications and the Global Data Warehouse to ensure standardised and accurate reporting. Key Objectives: The strategy is designed to support both real-time and batch data processing requirements, with scalability to accommodate future applications. 13.2 Integrations Architecture … Read more

Security and Access Control

(Redrafted for Alignment with Data Operations Plan) Key Takeaways 9.1 Security and Access Control Requirements 9.2 Security and Controlling Access All of our systems, data sources, data warehouses, data marts and reports are developed considering confidentiality, integrity and availability (CIA Triad).  The CIA Triad is an important concept in Information Security including ISO27001 and data … Read more

Data Modelling and Transformation

(Redrafted for Alignment with Data Operations Plan) Key Takeaways 7.1 Data Modelling and Transformation Requirements The following requirements have been identified relating to Data Modelling and Transformation: 7.2 Reporting Framework and Data Transformation The Reporting Framework (repeated at Figure 7.1) identified 3 typical data types used in various levels of reporting.  It is recognised that elements … Read more

Data Governance

(Redrafted for Alignment with Data Operations Plan) Key Takeaways 5.1 Compliance and Governance Requirement Ensuring compliance with industry regulations, internal governance, and data protection standards such as GDPR and ISO 27001 is paramount. Regular audits, risk assessments, and a robust data governance framework will underpin these efforts. Reporting practices will incorporate legal, commercial, and regulatory … Read more

BHAG SunRay

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

BHAGs for Reporting Evolution

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

Applying the GOSP Model to Data Governance and Security

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

Applying the GOSP Model to the Data Warehouse and Data Engineering

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