New Frontiers in the Strategic Use of Patent Information

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Methodology & Benefits:

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Benefits of working with PatAnalyse

The best possible quality of deliverables is combined with a quick turnaround of about ten weeks for large patent landscape studies and about six weeks for a Freedom to Operate analysis

Full confidence in the completeness of results from the patent search

  • a fully traceable search is undertaken by experienced PatAnalyse staff using several self-learning iterations under the assistance and control of dedicated software algorithms
  • a bespoke project stemming database is used to expand both internal and external patent searching
    • helps to combine synonyms used for technical terminology including chemical names and chemical formulas which are frequently used with randomly positioned erroneous blanks and inconsistent subscript indexes

Improved quality of data through ‘clean’ patent bibliographic records:

  • a proprietary algorithm for patent record de-duplication
    • no more patent families with up to 100 patents
  • withdrawn, revoked or abandoned patents can be removed from Patent Maps
  • a carefully designed algorithm finds Assignee information for unassigned documents
    • less than 5% of  unassigned patents in the most recent records
  • unified Assignee names
    • cleaning of misspellings and variations in the Assignee records are achieved using a bespoke database
    • Assignee information is updated using INPADOC Legal Status database
    • hierarchical company structures are used to combine records to top level Assignees
  • we provide extra bibliographic records unavailable from DocDB and INPADOC databases
    • claims for Japanese, Koreans and Chinese patents
    • legal status for Japanese and Korean patents

Top level classification of the patent portfolio using a technical taxonomy developed with the client

  • public classification patent systems, such as US, IPC, and ECLA classification codes, are very conservative to respond quickly to emerging and disruptive technologies; also they  do not provide enough granularity needed for effective analysis of a patent portfolio

Highest possible quality is assured via the extensive involvement of subject area experts under NDA

  • example and test patents are added as a substantial part of review patents; this helps to control and improve understanding of the classification system by individual experts
  • experts are assigned to specific subject areas of the patent portfolio; software algorithms are used to separate the most relevant raw patents from less relevant entries and to feed patents to different experts according to their preference in subject areas
    • the enhanced homogeneity of the data reviewed by the experts automatically improves the quality of their judgement
  • expert judgement is controlled with self-learning human error correction algorithms

A carefully prepared set of clustered Patent Maps representing different views of the portfolio

  • comparison of activities of various companies against a set of multiple taxonomies
  • time line of activities presented for a variety of companies or for various taxonomies
  • most prolific inventors of various Assignees are shown as a measure of aggressive policies
  • aggregated visualisation of patent citation links between various Assignees
  • revealing strategies of various corporations for filing patents in different National Patent offices
  • licensing activities as specified in the INPADOC Legal Status database
  • presenting  information for patents aggregated by country of invention
  • Patent Maps for a set of individual companies with possible use of ‘rating’ taxonomies

Analysis of information by Business consultants with a good grasp of technology issues

A client presentation with strategic recommendations based on analysis of the Patent Maps and individual patents

Patent database back-up in CSV (Excel), XML, MySQL, or PostgreSQL database format

Ability to deliver patent projects covering such diverse technical areas as medical devices, life sciences, material science and chemistry, mechanical and electrical engineering, electronics, opto-electronics, sensors and analytical measurements, software and business methods.

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