Technologies
- Real-time Data Management and Condition-based Monitoring
- Advanced, Predictive and Prescriptive Analytics
- Controls & Process Optimisation
- Mobile solutions for Field Engineers
- Risk-based Asset Maintenance Strategy
- Asset Information Lifecycle Management
- Construction Contract Risk Management
- Project Engineering Design & Execution
Encompasses a range of techniques, including data mining, statistical analysis and machine learning to uncover insights and patterns from complex datasets. It goes beyond basic descriptive statistics by providing deeper understanding and foresight into business trends and behaviours. This approach enables organisations to identify opportunities, assess risks and make informed decisions based on comprehensive data analysis. Advanced analytics can reveal hidden correlations and emerging trends that drive strategic planning and operational improvements.
Predictive analytics builds on advanced analytics by using historical data and statistical models to forecast future outcomes and trends. By applying algorithms to past and current data, predictive analytics can anticipate potential events, such as equipment failures or market shifts, allowing businesses to prepare and respond proactively. Prescriptive analytics takes this a step further by recommending specific actions based on predictive insights. It combines predictive models with optimisation techniques to suggest the best course of action for achieving desired outcomes, thereby guiding decision-making with actionable strategies and enhancing overall effectiveness.