Innography Blog

Category: data correction


[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


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


Webinar Transcript: Competitive Intelligence and IP Best Practices

This is a transcript of the webinar Competitive Intelligence and IP Best Practices, hosted by Innography’s own Emma Roubtsov, which is available now on demand.

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Categories: advanced patent search, competitive intelligence, data correction, data correlation, intellectual property management, ip management consulting, ip strategies, licensing strategy, litigation strategy, mergers and acquisitions, patent analysis, patent filing trends, patent licensing, patent litigation data, patent portfolio analysis, patent search, patent strategy, patent visualization tools, patent webinar, patents, r&d strategies


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


Second or third-age patent analytics platforms: which one are you using?

Third-age patent analytics tools apply modern “Big Data” technologies and a completely new mind-set to provide breakthrough patent analysis capabilities for IP professionals.

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Categories: data correction, data correlation, industry outlooks, intellectual property management, ip maturity model, patent portfolio analysis, technology forecasts


Clean Data in Action: The Rackspace Example

A company’s current patent portfolio is the starting point for many analyses, such as competitive intelligence, industry benchmarking, risk analysis, licensing and partnership conversations and enforcement analysis. Getting the portfolio as right as possible is obviously very important to making good decisions.

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