What is it?

CRA uses its collective knowledge and experience to integrate into Research and Development (R&D) teams, gathering and analysing relevant data to determine the risks and robustness of the processes and innovation being developed.


CRA’s team develops bespoke solutions to address problems which do not fit neatly into predefined boxes of any of the traditional analysis methods. This often necessitates some ingenuity in the approach taken to the analysis to provide additional insight into the problem area. The specifics of the approach are dependent on the applications in development, but the process typically involves the iterative development of existing methods.

Why is it important?

It is important that risk analysis methods pertaining to R&D provide as much insight as economically possible, to aid the effective estimation and management of risks. The development of existing analysis methods can have immediate tangible benefits, including streamlining development practices, providing enhanced accuracy of R&D results, or providing additional insight for future innovations. The continued development of existing risk analysis techniques, plus constantly evolving technologies, are essential in providing the necessary tools to achieve these goals.

What do we do?

CRA have in-house specialist modellers who have experience in developing R&D analysis techniques across a range of industries and applications. CRA experts can tailor mathematical and statistical techniques to their intended application, including, simulation, Bayesian modelling, regression, parameter estimation and optimisation techniques. CRA have both the industrial experience and academic knowledge to perform our verified analyses, comparing our clients’ existing techniques across academic and industry methods for combined best practice. CRA are experienced at proposing relevant alterations to existing analyses where appropriate and developing these into practical methods into your innovation processes.


CRA prides itself on taking a tailored “common sense” approach into our R&D risk analysis methods, in order to supply economically feasible, practical, solutions.

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