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Discussion of all things patent mapping and analytics.

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Big data is currently a buzz word in the business world, as shown by the Google Trends search shown below:

BigData-seach-analytics.gif

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"Biodesign - The process of Innovating Medical Technologies" is recognised as a seminal work in the world of medical technologies, and is written by the staff af the Stanford Biodesign team.   

Biodesign_Book-Cover.gif

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Cluster Searching is a patent search and analytics tool with a strong value proposition for a range of users, including patent searchers, analysts, owners, managers - and patent examiners. 

For all of these searchers, we promote Cluster Searching not only as a primary search tool, but also as a second opinion engine. Essentially we suggest that users run the best prior art they have found through Cluster Searching to see what else they can find.

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Patent Searching can be a deceptively difficult, and yet vitally important exercise. There are over 70 million patents out there, and while there are very powerful keyword and class codes search engines that you can use, the results are only as good as:   

  • The keywords and class codes that you search by
  • The keywords and class codes used by the people who filed or examined the patents you are looking for. No matter how good your choices are, you are also reliant on these other people.

Millions or even hundreds of millions of dollars may depend on the outcome of patent searching -  due to the risk of unwanted litigation or wasted R&D and commercialisation costs. Clearly as patent searchers  we need to do the best possible search in the time that we have available. The same applies to patent examiners - the right search results can have large economic consequences on both the patent applicants and their competitors.

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A client recently asked 'can you provide some examples where Cluster searching efficiently identified relevant citations, which were not identified using existing tools?'.

This is a great question. I was running a demonstration case the other day, and this was a perfect example.

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