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How to use Big Data Analysis of Patents in your Innovation Strategy
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How to use Big Data Analysis of Patents in your Innovation Strategy

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How can you get the ‘big picture’ of the true value of innovation? Although legal in nature, patents are rooted in innovation. Patent data, taken into consideration as part of a larger, ...

How can you get the ‘big picture’ of the true value of innovation? Although legal in nature, patents are rooted in innovation. Patent data, taken into consideration as part of a larger, integrated IP ecosystem can be a source of tremendous value for innovation leaders and R&D decision makers. By understanding how to leverage the intelligence contained within the macro patent data available, often in conjunction with learning from a patent landscape, you can begin to harness the data as a powerful tool in your innovation planning and decision-making arsenal.

What you will learn:
• The value of patent data to innovation management and R&D
• Patent Data - micro and macro
• Successes and Failures of landscapes and uses
• Integrated IP ecosystem

To learn more, visit: http://budurl.com/bclp

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How to use Big Data Analysis of Patents in your Innovation Strategy How to use Big Data Analysis of Patents in your Innovation Strategy Presentation Transcript

  • How to use Big Data Analysis of Patents in your Innovation Strategy
  • Today’s Presenters Erik Reeves CEO, AcclaimIP Huub Rutten VP Research, Sophe on
  • Intro • Background – Patent Framework – Patent Data – Scale • Small (micro, et al.) • Macro • How this can apply to Innovation Strategy – Patent Landscaping – Integrated IP Ecosystem – Challenges & Opportunities, Product and R&D
  • Patent Framework • Patent is: monopoly protection in exchange for disclosure • Legal, right? • Yes, but should be INNOVATION first • Patent is also: a means to maximize the benefit of an innovation (potentially a very powerful one)
  • A few words about “big data” • Is Patent Data big? – All data combined is substantial (100’s of million of records) – It is complex, highly technical, and uses esoteric language – Challenges in quality, consistency, and normalcy of data • E.g., IBM has over 500 variants in assignee listing; over 2,000 if you account for simple spelling deviations We use over 270,000 rules to normalize assignee data (~150k algorithmically derived and ~125k manually created) – However, it IS somewhat STANDARDIZED and NORMALIZABLE
  • Patent Data - Scale Document-level Large-scale, Taxonomies Individual Data Elements “Small” Group Individual Words/phrases “Meta-doc” Technology Landscape Portfolio
  • Patent Data – Small Scale • A patent (granted): Single, official document • Or it can be thought of as a bundle of many documents (app, correspondence, family members, etc.), static data (inventor(s), claims, reverse citations), and dynamic data (reassignments, reclassifications, maintenance events, new family members, forward citations, litigation) • A full “patent record” may include countless documents, correspondence, and data updates. • A patent record is also a rich source for analysis, including statistical (e.g., # of claims, forward/reverse citations) and linguistic (claims breakdown or diagrams)
  • Meta-doc Patent & Family Members Citations Meta-data and Analytics File Wrapper
  • Patent Data - Macro • Groups, portfolios, technology areas, or larger analysis for data mining and/or landscaping offers other types of insights, particularly when combined with analytic and metaanalysis from patent details (and a well-normalized database) • By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions. -Report by McKinsey Global Institute (2011)
  • Patent Landscaping • Technology Scouting - Identify and/or gain insight into key “players” – Competitors, Collaborators, etc. • Better understand the IP in an area of technology • Assess whitespace or “Freedom to Operate” in IP – Project/budget justification/due diligence • Identify areas for future filings • Improve “Claim-crafting”
  • Landscape - example High-level view of Fuel Cell Patents and Players (not interesting yet):
  • Landscape - example More detailed view broken up by some primary technologies (more interesting):
  • Landscape - example Production Processes broken up into contributing features (highly detailed):
  • Landscape - example With trends (risk/opp analysis):
  • Integrated IP Ecosystem Credit: ASU School of Life Sciences at askabiologist.asu.edu
  • Integrated IP Ecosystem Downstream Companies Technology Partners Corporate Suppliers Technology interactions: • Single Patent, • Group or portfolio of patents, • Non-patent Competitors Each company has: • Patents • Products • Other IP Assets • Systems As well as: • Inventors • Legal • Finance • R&D • Product Dev • Licensing • Executive
  • Some key Ecosystem Interactions • Active: – Litigation, Licensing, Acquisition, Collaboration, Blocking – Recruiting, Incubation, Ideation • Latent: – Risk (litigation), Opportunity (product or licensing revenues) • Strategic: – Technology Strategy (IP interactions & road-mapping, “collision” prediction)
  • Challenges and Opportunities • Balance Sheet Voodoo • Reusability • Good analysis is hard – Incrementalize, Iterate, Integrate • Building an Integrated Knowledge Environment • Dealing with an inherently cross-functional issue well – Who is accountable for IP Strategy and Stewardship? • Improve products, ROI, patent protection, claims construction • Rich technical information in patents and landscapes – Develop a realistic approach to utilization
  • FPO & AcclaimIP FPO & AcclaimIP have been bringing Patent Data and intelligence to the global community for a decade. FPO serves over a million registered users, hundreds of millions of others, and has executed an average of 6.6 searches per second over the better part of the last 10 years (not quite McDonald’s scale) AcclaimIP is the culmination of a decade of experience in search - and many iterations and improvements to our core architecture and back-end systems, combined with: the development of a high-end, intuitive solution for patent search, analytics, and landscape development.
  • Learn More About How Sopheon’s Integrated Enterprise Innovation Performance can Help Your Company Top 10 Reasons to Partner With Sopheon 10. Fully Enable Multiple, Diverse Types of Enterprise Portfolios 9. Powerful, Highly-Efficient Initiative Planning and Scheduling 8. Most Configurable and Flexible Process Modeling Engine in the Market 7. One-of-a-Kind Support for “Top-Down” Resource Planning 6. One-of-a-Kind Ability to Optimize Portfolios Across Multiple Constraints 5. Sopheon’s Best Practices and Accelerated Innovation Processes 4. Implement With Experts That Understand Business, not Just Technology 3. 13+ Years of Proven Success With Large, Global Complex Clients 2. Sopheon’s Focus on Users, Usability and Saving People Time 1. The Most Complete Solution for the Entire Innovation Lifecycle We would be delighted to share more with you about how we improve Enterprise Innovation Performance, and discuss how we can help your company achieve world-class innovation performance.  To learn more, please contact us at: info@Sopheon.com We look forward to the opportunity to help you improve your innovation results, and create new value and growth for your company. Confidential
  • Thank You for Viewing Stay up to date on upcoming webinars by following us @sopheon