Webinar Implementing a Data-Driven R&D

Data-driven R&D is an efficient and focused way doing research and new product development, which is informed by data insights and targeted accumulation of knowledge across the entire search space of possibilities to guide decisions. It is based on an iterative process of planning and conducting experiments, with a structured way to collect and document results, enriching the data and applying advanced predictive modelling to inform the next steps. Researchers gain insights into which experiments are worth doing the most to increase the body of knowledge, and which inputs and conditions have the most positive effect on the desired outcome. This data-driven approach has many benefits – it accelerates discovery, shortens development cycles, allows focus and improves success rates.

Scientists with deep mathematical and modelling knowledge have been applying data-driven research methods successfully for many years. Now, thanks to augmented analytics technology, data-driven research and experimentation becomes accessible to the wider community of scientists and researchers, and has the potential to transform R&D.

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