This training course provides an overview of search and analysis techniques to prepare patent landscape reports for business decision making. Attendees will learn how to construct and perform business-focused patent searches and how to analyse the results to report on competitor patenting, and to identify industry and technology trends.
Previous course attendees valued the “Balance of breadth & detail, reflecting the experience of the instructors” and commented that the course provided “Really excellent coverage of how to conduct landscape searches.”
Topic coverage includes:
Technology, market and competitor landscaping.
Selecting sources for the search.
Advanced subject searching with classifications, keywords and citations.
Refining the answer set for relevance.
Analysis and identifying trends.
Preparing charts and other visualisation techniques.
Portfolio benchmarking.
Working within budget and timeframes whilst providing reasonable answers.
How to report on the scope of the landscape without detracting from the answers generated.
Practical exercises will be provided along with access to proprietary databases kindly provided by our sponsors to help crystallise the learning. Q&A opportunities help to make the sessions as interactive as possible in the virtual setting.
This course is suitable for anyone who wants to understand more about using patent information for technical and business purposes, including Intellectual Property (IP) managers, as well as those working in R&D, technology transfer, strategic business development and competitive intelligence roles.
The course takes place over two afternoon sessions of 1.5 hours each, starting at 14:00 (BST). Enrolment costs £190 + VAT for both sessions, to include the course workbook and certificate of attendance. Find out more about the course and how to book your place on the CIIPM website, www.ciipm.co.uk/1.-Commercial-Patent-Search-And-Analysis---online
The organisers thank their sponsors for their support for this and other training courses. This year’s sponsors are: