Business Analytics Lab
We believe that organisations of the future will be radically reconstituted by breakthroughs in data science and business analytics, bringing fundamental changes to how companies manage people, operations, and marketing. We are pursuing high-impact research in partnership with organisations that will be writing this future.
We collaborate with executive and technical leadership of organisations who have problems, people and datasets that put them at the forefront of this dynamic field because we believe it accelerates academic breakthroughs and societal impact.
Established in2014, Imperial Business Analytics is a laboratory in the Data Science Institute that brings business-focused academics with specialists in data science to do cutting-edge research on how business analytics, data, and artificial intelligence will change business and society more generally.
Research Case Study: The rise of the machines, again. AI, automation, and the future of work, of organisations, and labour markets
Increasingly, people are predicting that AI will bring social and economic change of an order not seen since the industrial revolution.
But big questions remain about how and when all this predicted change will unfold.
In our view, a confluence of advances in data science is poised to transform organisations, work and labour markets in radical ways, but there is a dearth of clarity about how. To solve that problem, we are breaking down innovations in data science and AI and relating them to features of work to be able to predict how and when we will see changes in workforces of organisations and, more generally, the economy overall.
To read more about the Centre and our research please see our website imperialbusinessanalytics.co.uk
Associate Professor and Director, Imperial Business Analytics: Organisational Behaviour I Strategy I Business Reputation
Chair in Economics: Economics and Growth I Productivity I Intangibles I Investment and Growth
Munjal Chair in Global Business and Operations: Operations I Pricing I Revenue Management I Workforce
Associate Professor: Marketing I Customer Experience I Social Media I Consumer Behaviour
Associate Professor: Healthcare Reform I Policy Economics I Regulation I Reputation Risk
Associate Professor: Operations I Logistics I Production planning I Supply-chain management
Research Associate: Economics I Marketing I Political Science
Research Associate: Stochastic modelling I Vine copulas I Maintenance decision optimisation.
Professor of Financial Econometrics: Financial econometrics and econometric theory I Assest I Risk management
Research Associate: Machine Learning