Centre for Business Analytics in Practice

Production Optimization Analytics maximizes manufacturing efficiency and minimizes costs by applying analytical techniques to scheduling, assembly line balancing, lot sizing, and energy efficiency.

Innovation and technology management, applied econometrics, complex systems and network analysis, agent-based modelling.

Risk Analytics for Decision-Makers includes quantitative techniques for analysing and managing business risks, for example schedule risk management and inventory forecasting, to offer tailored insights for stakeholders’ decisions.

Data Privacy Analytics analyses customer interactions, preferences, and behaviours to enhance consumer experiences, optimize performance, and drive business growth, while respecting privacy and fostering trust in a data-driven world.

Circular Manufacturing Analytics involves the systematic analysis of data from digital manufacturing processes to optimize resource utilization, minimize waste, and enhance sustainability within an Industry 5.0 circular economy framework.

Analysing strategic decision-making in supply chains adopting emerging business models and digital technologies, alongside advancing sustainable operations, with a focus on green transportation and the transition to clean energy

Simulation & Operations Analytics refers to the utilization of simulation techniques alongside analytical methods to optimize operational processes and inform decision-making within various domains.

Given the limitations on resources, managers are deeply concerned with their optimal allocation. Performance analytics tools utilize mathematical modelling to evaluate efficiency, effectiveness, and productivity within organisations.

Digital Strategy Analytics analyses data related to an organisation's digital ecosystem to inform decision-making and optimise business models, strategies, processes, and customer experience for competitive advantage.

Qualitative supply chain analytics includes any non-quantitative methods employed to analyse supply chain performance such as efficiencies, process management, procurement, logistics and sustainability.

Researching on neuroscience-informed affect–cognition dynamics within organizations and AI-driven decision-making in healthcare

Holistic Analytics for Sustainable Systems applies systems thinking, lean principles, circular economy, doughnut economics, and sustainability analytics to optimize processes for long-term viability

Supply Chain Analytics, including Traceability and Blockchain Analytics, enables the tracking and verification of product origins, movements, and transactions, ensuring transparency and security throughout the supply chain.

Advanced machine learning and AI techniques in crime prediction and offender profiling can revolutionize law enforcement by predicting crime locations, enabling proactive prevention.

Immersive Technology Analytics involves the application of data analysis techniques to virtual reality, artificial intelligence, and game engine data, enabling insights for optimizing user experiences and enhancing immersive technologies.

Causal analytics utilizes randomized experiments or non-experimental techniques to identify the causal effects of business strategies/programs on operational outcomes, providing essential estimates for making well-informed business decisions.