Disruptive technologies—like electromobility, cleantech, decarbonization efforts, and digitalization—require significant R&D investments. This increases the imperative for leaders in research and development to find ways of improving the efficiency of their financial decision-making.
However, many corporate leaders struggle with limited data transparency when setting spending targets and steering their development projects. In response, we developed R&D Advanced Hardware Benchmarking. This unique solution uses parametric tools, machine learning-based algorithms, and a broad database to help companies set best-in-class R&D spending targets for hardware components, optimize expenditures, and identify levers to improve development efficiency and ensure faster product delivery.