With the phenomenal growth in data sensing, storage and computing capacities as well as reduced costs, it has become easier than ever to generate large quantities of data - in a wide variety of structures, formats and across multiple industrial applications. In Rolls-Royce, data is generated in large volume and variety across the products' life cycles. The effective analysis of this data could provide valuable insights about the quality and performance of the products. In the Data Analytics & Complex Systems programme within the Rolls-Royce@NTU Corporate Lab, we are investigating state-of-the-art techniques in Data Analytics to process data from across the Rolls-Royce design, development, manufacturing and in-service applications in order to develop strategic capability for introducing step-change improvements in the products and processes.

DACS will focus on developing new capabilities in data analytics and art​ificial intelligence to create actionable insights from big data and to aid decision making across our businesses and product lifecycle. The programme has developed and demonstrated data analytics and machine learning capabilities broadly across Rolls-Royce’s product lifecycle – design, make, inservices and repair-overhaul.