Data integration is the process of combining data from multiple sources into a unified view, enabling organizations to consolidate information, enhance data quality, and facilitate analysis and reporting for informed decision-making.

Technical Due Diligence is the comprehensive evaluation of a project's technical aspects, including the assessment of its design, engineering, performance, and operational capabilities, to identify potential operational risks.

A Digital Twin is a virtual representation of a physical object or system that simulates its real-time behavior and performance through data integration, enabling analysis, monitoring, and optimization throughout its lifecycle

Engineered Knowledge is a synthesis of practical experience and data-driven insights that informs decision-making and enhances design processes and operational efficiency in engineering and technical disciplines.

Clover Energy reporting is an process of compiling and generating reports from various data sources and systems, enabling real-time insights and reducing manual effort while ensuring consistency and accuracy in the presentation of information.

Incident investigation using data involves the systematic analysis of information collected to identify the root causes and contributing factors of an event, enabling organizations to implement solutions to prevent future occurrences and operational effectiveness.

Performance management of operating assets involves the systematic monitoring, analysis, and optimization of the efficiency, reliability, and productivity of physical assets throughout their lifecycle to maximize value, reduce operational risks.

Operational data preparation is the process of collecting, cleaning, transforming, and organizing raw data from various operational sources to ensure its quality and readiness for analysis, reporting, or integration into decision-making processes.

Operational strategy is a data-driven plan that outlines how an organization will leverage insights from performance metrics, market trends, and resource allocation to optimize processes and achieve its business goals effectively.

Asset integrity refers to the systematic management of physical assets using data analytics to identify, assess, and mitigate risks related to safety, reliability, and performance throughout the asset's lifecycle.