Patent Landscape: Doing Big Data Trend Analysis
Patent Landscapes help corporations, universities, start-ups, and research organizations to understand the trends in a particular technology. It also helps to explore rewarding business product development opportunities. They use various data mining techniques to identify various patent trends. The trends...
Patent Landscape: Extract Deep Insights Using AI/NLP Engine
Patent data is quite large, unstructured, and complex. You need cleaner, more structured data to derive deep insights. Analysis is tough and time-consuming when dealing with large datasets. A tool that can quickly analyze massive amounts of data in a...
Patent Landscape: Why Data Clustering is Important?
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...
What do you mean by White Space Analysis?
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...