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Forecasting Engineering Performance for a 12% improvement in R&D yield

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Nerve Analytics uses communication traffic to help companies forecast productivity and project performance, and understand how performance is impacted by the allocation of resources.

Nerve Analytics was first developed as a way to monitor and forecast team and R&D productivity in Formula One teams. The technology hinges on the use of statistical and machine-learning methods to discover structural relationships between the information flows within an organization and the productivity of its workers and their progress on projects.

In Formula One, the operational performance forecasts serve as an early-warning system regarding the efficacy of resource allocation strategies, which in turn can improve teams’ investment yield by allowing them to exit poor projects early and invest more heavily in likely successes. The approach realized an effective 12% increase in the R&D budget under consideration at one F1 team.

The pattern of communication within organizations, both within and between collaborating teams, is pivotal to organizational performance and productivity. Advances in IT afford companies an unprecedented opportunity to monitor information flows, observe worker interactions and organizational structures, and estimate productivity. Nerve Analytics™ leverages the wealth of data collected by companies to yield insight into how communication patterns relate to productivity, and in turn how organizational structures and task allocation strategies impact those communication patterns.