Why is data clustering important? Data clustering is vital to make sense of a large set of patent data. It also helps in discovering new businesses and understanding the competition in those business areas. Whether you’re trying to find the...
High-quality clean and standardized data is a prerequisite for a reliable patent landscape analysis. If the data is inaccurate, then the result of the analysis of that data is also going to be inaccurate or unreliable. This inaccurate analysis could...
Patent Landscape Analysis A Patent landscape analysis is an analysis of patents in a particular technology area. It could be an extremely expensive & time-consuming, and labor-intensive process. Therefore, the objective of patent landscaping must be established ahead of time,...
White space analysis is defined as the process of identifying gaps or voids in technology in order to define a less populated area in a patenting technology. White space analysis is also known as grey area identification analysis or white...