10 Quick Tips About Patent Analytics
Patent Analytics is very crucial in unlocking the real value of patent information such as market competition and technological innovation. It provides a thorough insight into own as well as competitors’ vulnerabilities, strengths, and prospects of patent portfolios with an in-depth understanding of the worldwide patenting trends, patent landscapes, and white spaces, and far more. With more than 136 million+ published patent documents available with PatSeer, it becomes a little easier if you know some quick hacks to unleash the potential of patent analytics.
PatSeer’s expert and experienced research team have curated the following 10 quick tips for you to get the most out of patent analytics.
1. Start with Broader Outlook
You might have a clear picture about what exactly you’re looking for, like exact technology or innovation, etc. But it’s always better to start the research with a broader criterion in mind so that no relevant record gets unnoticed.
PatSeer’s Quick Search pane allows you to enhance your searching speed with a wider perspective as well as can be used to make an effortless deep search scripting
2. Know your Approach
Patent records and datasets are complex to comprehend as the same idea or innovation can generate more than one patent or patent application. It’s better to be aware of whether the analysis must be done for patents or technologies. This drives the conclusion of the analysis. So, for accuracy, now the search needs to be narrowed down for superior analysis.
ReleSenseTM – PatSeer’s AI/ML-based NLP text processing engine does your job of finding and arranging keywords with Boolean operators, from an entered paragraph/text.
3. Let Data Speak
Even well-curated patent data also needs to be cleaned using various search parameters. The analysis is generally made for a wider range of audiences for analytical thinking as well as decision making. The Data like assignee (predominantly, the organization owning the patent) and inventor information, industrial applications, benefits of the invention, etc. need to be made specific to your organization or the reading audience. The data presentation after this becomes easy to use and read and becomes more helpful in the decision-making process. The data now speaks the underlying stories like assignee changes, hidden mergers, nationwide expansions, innovative technical developments, etc.
PatSeer enables you to dive deep into your search results for better-refined patent documents through its various filtering options like Search within Records, etc
4. Use Broad Patent Classification
Avoid immediate use of IPC/CPC codes within the patent search and analysis tools to produce direct visualization data. Also, using classification codes makes it difficult to understand for the readers (e.g., A reader won’t directly understand that CPC code – F05B 2280/10 refers to which technology field). It’s ideal to incorporate text and data mining into the analysis in some form. This requires skill and time and a SAAS like PatSeer to convert the raw patent information into a delightful analytical insight for readers.
Patent Analytics using PatSeer makes it effortlessly more straightforward to present, read, and understand the data in an interesting way.
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