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ICIC 2017: The Use of Patent Information for Innovation and Competitive Intelligence


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Jochen Lennhof (Minesoft, Germany)
Patent data is a critical source of information to stimulate innovation and for competitive intelligence. Patents are often the first and only source of disclosure of a new invention and hence, ignoring them will only delay innovation and give an incomplete competitive intelligence picture.

Delivered from the perspective of a patent analyst, we will use case studies to describe the use of patent data to compile a competitive landscape, to stimulate innovation by learning from others and to help identify valuable IP in a portfolio. We will discuss the challenges in using patents for competitive intelligence and the recent innovative features and functionality in PatBase which can help, including:

Using thesauri, semantic and non-patent literature searching to compile a comprehensive competitive landscape.
The use of Analytics for customised, multidimensional analysis and to visually compare multiple datasets.
Text-mining to automatically identify and highlight concepts within any full text patent.
Citation analysis to identify key competitors, collaborators or potential infringers.

This presentation will demonstrate how any user can benefit from the innovative features and functionality in PatBase to interrogate and visualize the competitive landscape for any technical area.

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ICIC 2017: The Use of Patent Information for Innovation and Competitive Intelligence

  1. 1. The Use of Patent Information for Innovation and Competitive Intelligence Katarina Bartos Quin
  2. 2. Agenda • What is Innovation and Competitive Intelligence? • Using patent information to drive Innovation and Competitive Intelligence – Key Principles – Promoting the use of patent information • Case studies – Identify white space, technology trends and areas of focus • Guide investment decisions and filing strategy • Identify competitors – Identify the patentability of your own inventions • Don’t reinvent the wheel • Learn from others – Identify licensing and collaboration opportunities
  3. 3. Innovation • Definition: • Invention – “the creation of something new” (Paul Sloane) • Innovation – “the implementation of something new” (Paul Sloane) • Closed versus Open Innovation (Henry Chesbrough)
  4. 4. Competitive Intelligence (CI) • Definition: • Competitive Intelligence (CI) involves the use of public sources to develop data on competition, competitors, and the market environment (McGonagle and Vella 2002) • Process: • Identify the information that a decision-maker needs • Collect publically available raw data • Analyse the data and convert it into intelligence • Communicate the finished intelligence to the decision-maker(s)
  5. 5. Why is patent information critical for Innovation and CI? • Open innovation relies on internal and external ideas • Patents are an essential source of external ideas and competitor data • Patents are often the first and only source of disclosure of a new invention • Ignoring patents as an information source will: • Delay innovation or even prevent it • Give an incomplete Competitive Intelligence picture
  6. 6. Using patent information for Innovation and CI • Key Principles: • Quality IN = Quality OUT • Make the patent search comprehensive • Data - Coverage, Comprehensiveness and Timeliness • Where are you searching? Title, abstract, full-text • Promoting the use of patent information • Easy to use platform • Education on the importance of patent information
  7. 7. Case Studies Patent Landscape Patentability Licensing + Portfolio Analysis
  8. 8. Methodology • Subject matter investigation • Compile search strategy • Keywords • Classifications • Assignee • Semantic • Non-Patent Literature • Run initial basic search • Analyse and optimise strategy • Visualise and review • Draw conclusions……..
  9. 9. Case Study – Patent Landscape +
  10. 10. Some Key Questions • Is this a growing area of interest? • What are the fields of current interest? • Who are the key players? • Who are the “key opinion leaders” in this field? • Is there white space? • Where should we be investing time and money?
  11. 11. Analytics Dashboard
  12. 12. • Keyword analysis: • Initial basic strategy: TAC=(ebola) • New keywords: “Marburg virus or Filovirus or Hemorrhagic fever”
  13. 13. • Keyword analysis: • Remove irrelevant results from landscape • Example: “HIV Infection”
  14. 14. • Optimise strategy • Classification Codes – CPC/IPC • Add codes to strategy and review definitions for keywords
  15. 15. • Optimise strategy with key assignees and inventors
  16. 16. Features • PatBase Thesaurus
  17. 17. Features • Classification finder
  18. 18. Structure of hits found Instances of chemical in full text Links to external resources Details of hits found
  19. 19. Publications disclosing chemical of interest tagged Textmine view of publication and chemical of interest
  20. 20. KeywordsKeywords Specific Ebola CPC Codes Specific Ebola CPC Codes Top IPC/CPC Codes Top IPC/CPC Codes Key assignees and inventors Key assignees and inventors Basic strategy Basic strategy Chemical Explorer Chemical Explorer
  21. 21. • Is this a growing area of interest?
  22. 22. • What are the fields of current interest?
  23. 23. • Who are the key players in this area?
  24. 24. • Who are the “key opinion leaders” in this area?
  25. 25. Conclusions • Growing Ebola patent landscape • Key players include: • NIH, Novartis, BMS • Smaller companies: Ibis, Kineta, Biocryst • Key opinion leaders include: • Peter L Collins and Brian Murphy (NIH); He Liqi (BMS) • Top fields of interest: anti-viral compounds, vaccines, antibodies, detection methods and enhancing immune response to the virus • Potential White Space: prevention of infection – chemical and non-chemical, combination therapy
  26. 26. Case Study – Patentability Sonic Hedgehog + =
  27. 27. Features • PatBase Thesaurus – Genes & Proteins + Language Explorer
  28. 28. Features • Non-Latin Search and Translation
  29. 29. Features • Semantic Search
  30. 30. Features • Learn from others disclosures
  31. 31. Features • Non-Patent Literature
  32. 32. Conclusions • Patent information can: • Prevent you reinventing the wheel • Ensure that your time and money is well invested • Ensure you are aware of the prior art • Stimulate innovation by learning from others • Remember that prior art is any disclosure that is made public • Search patent and non-patent literature • Keep your own inventions confidential • File a patent application before disclosing elsewhere • Always consult a patent attorney for advice
  33. 33. Case Study – Portfolio Analysis Reverse Osmosis
  34. 34. • Analytics of forward citations of Desalitech patent portfolio Desalitech Portfolio • 8 patent families • 2005-2017 • Top 5 Jurisdictions: US, CN, IN, PCT, EP • Top IPC/CPC: C02F – Treatment of Water B01D – Physical/chemical Processes (Separation)
  35. 35. Features • Citation Explorer
  36. 36. Features • Alerts to keep up to date!!
  37. 37. Conclusions • Citation analysis is useful competitive intelligence: • Helps identify key competitors • Helps identify potential collaborators • Helps identify potential infringers • Citation analysis can help identify valuable IP in your portfolio • Precautions: • Citations are only one indicator of patent value • Beware of the time effect • Newer publications will not have been cited yet • Need to keep up to date by setting up alerts
  38. 38. Summary
  39. 39. Thank you Katarina Bartos Quin