Patent data is quite large, unstructured, and complex. You need cleaner, more structured data to derive deep insights. Analysis is...
Why is data clustering important? Data clustering is vital to make sense of a large set of patent data. It...
High-quality clean and standardized data is a prerequisite for a reliable patent landscape analysis. If the data is inaccurate, then...
White space analysis is defined as the process of identifying gaps or voids in technology in order to define a...