Patent data analytics for technology benchmarking: R-based implementation

We have utilized data analytics techniques to produce highly detailed, accurate, and actionable insights on patent data to enable the decision makers to take informed decisions. We have developed a unique method to help business professionals easily understand the patent landscape around a particular technology domain. The data inputs for the analyses are the patent statistics and the organization's technology priorities. We have used and implemented clustering algorithms on the patent data while considering the organization's technology priorities to identify solutions that can help organizations gain a competitive advantage, identify potential collaboration targets, technology-product alignment, business decision making, strategy planning and other strategic decisions.