Innography Blog

Category: big data


[Infographic] Know When to Hold ‘EM: The Games People Play With IP Data

Multi-million dollar decisions are never without risk, but basing them off questionable data is simply Russian Roulette. Getting to “good enough” or the “right” intellectual property data upon which to make decisions can be extremely time consuming, complex, short-lived. So either you’re wasting time correcting raw data from global patent offices or you’re making decisions on data that is rife with spelling errors, doesn’t reflect patent reassignments, and doesn’t account for M&A activities.

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Categories: big data, data correction, data correlation, industry outlooks, intellectual property management, patent analysis, patent search, patents


Apples and Oranges: Truth of Patent Data Quality

The USPTO recently announced an expansion of PatentsView, its visualization tool for US patents. First launched a few years ago, the intent behind the tool was to make 40 years of patent filing data available for free to those interested in examining “the dynamics of inventor patenting activity over time”. In spite of being limited to patents (not applications) and with a focus only on the US, it offers some interesting visualizations around locations and citations.

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Categories: big data, data correction, data correlation, industry outlooks, intellectual property management, patent analysis, patent search, patents


Machine Learning: How Innography Drastically Improves Big Data Quality to Give Its Customers an Edge

Early November, Tyron and I had the pleasure of presenting at the American Society for Quality (Austin Section) event, “The Future of Quality.” ASQ is an organization founded to advocate quality. Not specific to any field, discipline, or level within an organization, ASQ emphasizes an all-encompassing dedication to professional integrity and a passion for progress and excellence. As a company so committed to quality ourselves, it was inspiring to be in the presence of such a likeminded group.

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Categories: big data, data correction, data correlation, patent analysis


2017 Predictions for Intellectual Property Professionals and the Patent Analytics Industry

For better or worse, no one can say that 2016 was dull. And while it might not have produced quite as much excitement in the IP world (phew!), 2016 wasn’t without some notable IP shifts. On January 11th last year I shared my predictions for 2016. Let’s see how I did, and then I’ll give you my predictions for 2017.

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Categories: big data, industry outlooks, intellectual property management, ip strategies


Inventor Normalization: The New Normal

It’s the nature of the beast. Patent documents from different countries are plagued with dirty data. And the more active the company, with patents, or inventor activity, the higher the likelihood for varied spellings and the dirtier it inevitably gets.

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Categories: advanced patent search, big data, data correction, data correlation, ip strategies, patent portfolio analysis, patent strategy, r&d strategies


The Struggle is Officially Over: Say Hello to PortfolioIQ

The launch of PortfolioIQ signifies the end of an era. Your internal information and public patent data can now be together, in a single platform.

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Categories: advanced patent search, big data, data correlation, industry outlooks, intellectual property management, ip strategies, patent analysis, patent portfolio analysis, patent strategy, technology forecasts


The Hidden Costs of Bad Data Quality

When two patent analysis tools disagree on patent data, there's only one way to find out which one is more accurate – do the research. And picking the right patent tool to trust makes all the difference in getting to the best answer.

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Categories: big data, data correction, data correlation, patent search


Custom 4D Visualizations Are Going to Change How You Look at Patent Data

The Innography Team is thrilled to present our newest features and enhancements to Advanced Analysis. We continue to support our power and business users with functionality that creates efficiencies in their intellectual property search and analysis workflows and communicates discovered insights effectively.

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Categories: advanced patent search, big data, intellectual property management, patent analysis, patent portfolio analysis, patent search, patent semantics, patent visualization tools, patents, semantic patent search