Greg Harrop-Griffiths (minesoft, UK)
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 an experienced 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.
II-PIC 2017: The Use of Patent Information for Innovation and Competitive Intelligence
1. The Use of Patent Information for Innovation
and Competitive Intelligence
II-PIC, Bangalore, India
Greg Harrop-Griffiths
2. Agenda
• Minesoft – who we are and what we do?
• 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. • Founded in 1996
• Innovative Global Patent Information Provider
• HQ in London, UK
• Partners with RWS & Tempus IP
• Winner of Queens Award 2009 and 2015
• Designs solutions to help customers harness the power
of patent information throughout the innovation process
Who we are
5. Data overview
• Total data volume exceeds 35Tb
• 59 million families and 106 publishing bodies
• 64 million full-text records including over 29 million non-Latin into English
machine translations
• 43 Full Text collections
• PatBase Express - interface in seven languages (GB, DE, ES, FR, JP, CN,
PT)
• PatBase - full interface in three languages (EN, JP, CN)
6. Patent Families
Analytics
Quality Control
Fast Search
Legal Status
Review
Alerts
• 43 Full Text Collections
• 59 Million Families
• 106 Million Publications
• 105 Issuing Authorities
• IPC, CPC US and JP classes
• Quality Controlled content
• Normalised data
7. Innovation
• Definition:
• Invention – “the creation of something new” (Paul Sloane)
• Innovation – “the implementation of something new” (Paul Sloane)
• Closed versus Open Innovation (Henry Chesbrough)
8. 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)
9. 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
10. 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
14. 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?
15.
16. • Keyword analysis:
• Initial basic strategy: TAC=(ebola)
• New keywords: “Marburg virus or Filovirus or Hemorrhagic fever”
39. 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
44. 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