SlideShare a Scribd company logo
1 of 21
Competing Patent Applicants’ Business
Relevant Data Representation
Nissrine El Marchoum
Outline
 Background
 Patent Application & Evaluation
 Business-Relevant Competing Applicant Data
 Stakeholders
 Data Sources
 Relevant Data
 Country of Applicants
 Commercial Potential
 Monopoly Power
 Patent Portfolio
 Competitor Monitoring
 Competing Applicants’ Data Representation
 Back Office
 Data Search Representation
 Data Representation
 Conclusion
Background: Definitions
 A Patent: the right granted to an inventor -for a specific period
of time- that forbids any other party from making, using or
selling his invention without his permission (EPO).
 A patent is a negative right
 Patent Applicant: entity who requests the ownership of a patent
via a written request.
Background: Motivation & Assumptions
 Motivation
 Provide visual aids and decision making basis to decision
makers
 Assumptions
 Difference between European patent system and that of other
countries rather trivial.
 Stakeholders are mainly investors
 Discard patent examiners perspective (matter of scope)
Patent Application & Evaluation
 Applicants fill patent application documents and provide
endorsing documents
 Application evaluation takes place
 By Patent Examiners
 Final Decision communicated to the patent applicant
 Grant, Rejection or suspension
Stakeholders of Patent Applicant Information
 Patent Examiners are rather interested in the intellectual
property aspect of the patent
 Business stakeholders:
 Firms interested in investing in new technologies/markets
 Contribution to background checks on potential partners
 Track competition
Patent Applicants’ Data Sources
 Not easy.
 Patent Databases hold limited information about patent
applicants (e.g. name, address, date… etc.)
 Use them as a starting point for research
 Large Firm Listing Databases (eg. IBISWorld)
 Interesting business information.
 No direct mapping to the applicants
 Best Practice:
 Investigate patent business-relevant information
 Combine results with data about patent applicants from external data
sources
Business-Relevant Data About Applicants
1. Country of Applicants
2. Commercial Potential
3. Monopoly Power
4. Patent Portfolio
5. Competitor Monitoring
1. Country of Applicant
 Use country of competing patent applicants to compare
patent systems for a cost-benefit analysis
 Patent fees
 Flow of returns
Is it economically viable to invest in the patents the applicants are
holding (or apply for)?
2. Commercial Potential
 Potential: ability or intent to commercialize the subject of
the patents at hand
 How profitable is the commercialization of the invention/idea?
 Applicants holding a patent for fairly long can be a proof
of its commercial value
3. Monopoly Power
 Does the fact that competing applicants hold some patents
imply that these applicants own the exclusive right to
monopolize the concerned inventions?
 Frequency of Patent Renewal
 Owning a patent and frequently renewing it tells a lot about the
patentee.
4. Patent Portfolio
 Approach revolves around what patent applicants & what
they intend to do with it.
 Patent Portfolio Diversification
 Many patents of poor value vs. few patents of high value
 Patents in dead fields vs. patents in promising fields
 Therefore, stakeholders can infer:
 Diversification Strategies
 Investment interests
 Competitive Potential
5. Competitor Monitoring
 Strategic Management
 Track the competing applicants’ pool of patents and react
accordingly
 Holger Ernst (2003), Beisheim Graduate School:
 Use of indicators for monitoring competitors by assessing
their patenting strategy
 By extension define the key aspects and motivations
that drive their investment decisions.
Important Patenting Indicators for Competitor
Monitoring
Patent information for strategic technology management, Ernst, H. 2003
Data Representation: A concept
 Back Office
 Cloud Computing Technology
 Consider Cost
 Use Data Mining Algorithms
Data Search & Representation Process
Filter Search
Display
Results
Data Search & Display Process Explained
 Selecting the search filter
 By Patent Applicant’s Name
 By Country
 By Field of Business
 By Inventors
 Perform Search Algorithms
 Build a Model
 Clustering, classification, data analytics algorithms…
Data Search & Display Process Explained
 Display of Results
Conclusion
 Gathering relevant data from a business perspective is not
a trivial task
 Requires analysis & business background
 Already existing DBs do not explicitly hand in the information
 Future Work Suggestions
 Data Repositories holding patent applicants data
References
 Alcácer, J., Gittelman, M., & Sampat, B. (2009). Applicant and examiner citations in u.s. patents: An
overview and analysis. Research Policy.
 Epo - glossary. (2012, 12 20). Retrieved from http://www.epo.org/service-support/glossary.html.
 Ernst, H. (2003). Patent information for strategic technology management. World Patent Information,
25(2003), 233-242. Retrieved from http://www.journals.elsevier.com/worldpatent-information .European
Patent Office. (2012). Glossary. Retrieved June 10, 2013, from: http://www.epo.org/service-
support/glossary.html#p.
 European Patent Office. (2013). European patents and the grant procedure. Retrieved from
http://www.epo.org/service-support/publications/procedure/european-patents.html.
 Hsieh, C. (2012, 11 13). Patent value assessment and commercialization strategy. Retrieved from
http://www.sciencedirect.com/science/article/pii/S0040162512002405.
 Kelly, E.T., & Shear, T.E. (2003). A Researcher’s Guide to Patents. Plant Physiology, 132,1127-1130.
 Lanjouw, J. O., Pakes, A., & Putnam, J. (1998). How to count patents and value intellectual property. The
Journal Of Industrial Economics, XLVI(4), 405-432.
 Pakes, A. (1986). Patents as options: Some Estimates of the Value of holding European Patent stocks.
Econometrica, 54(4), 755-784. Retrieved from
http://www.jstor.org/discover/10.2307/1912835?uid=2&uid=4&sid=21102433476691.
 Pitkethly, R. (1997, March). The valuation of patents : A review of patent valuation methods with
consideration of option based methods and the potential for further research. Retrieved from
http://users.ox.ac.uk/~mast0140/EJWP0599.pdf.
 Webster, E., & H.Jensen, P. (2011). Do Patents Matter For Commercialization?. Journal of Law And
Economics, 54(2), 431-453. Retrieved from
http://www.jstor.org/discover/10.1086/658487?uid=2&uid=4&sid=21102433428181.
Thank You 

More Related Content

What's hot

II-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Optimizing R&D strategy through organized patent databaseII-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Optimizing R&D strategy through organized patent databaseDr. Haxel Consult
 
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni Madrid
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni MadridICIC 2013 Conference Proceedings Ricardo Eito Brun Uni Madrid
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni MadridDr. Haxel Consult
 
Are Patents Worth The Trouble? by Kunzler IP
Are Patents Worth The Trouble? by Kunzler IPAre Patents Worth The Trouble? by Kunzler IP
Are Patents Worth The Trouble? by Kunzler IPGrow Utah Ventures
 
II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...Dr. Haxel Consult
 
II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
 
II-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUGII-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUGDr. Haxel Consult
 
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...Dr. Haxel Consult
 
IC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointIC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointDr. Haxel Consult
 
II-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IPII-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IPDr. Haxel Consult
 
II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...Dr. Haxel Consult
 
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...Dr. Haxel Consult
 
Potential liability of lawyers performing/handling patent and trademark searc...
Potential liability of lawyers performing/handling patent and trademark searc...Potential liability of lawyers performing/handling patent and trademark searc...
Potential liability of lawyers performing/handling patent and trademark searc...Professor Jon Cavicchi, UNH School of Law
 
Patent Basics and Intellectual Property Rights
Patent Basics and Intellectual Property Rights Patent Basics and Intellectual Property Rights
Patent Basics and Intellectual Property Rights Rahul Dev
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceDr. Haxel Consult
 
II-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexisII-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexisDr. Haxel Consult
 
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...Dr. Haxel Consult
 
Give it legs concept to consumption model copy
Give it legs  concept to consumption  model copyGive it legs  concept to consumption  model copy
Give it legs concept to consumption model copyMichael Brown
 

What's hot (20)

II-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Optimizing R&D strategy through organized patent databaseII-PIC 2017: Optimizing R&D strategy through organized patent database
II-PIC 2017: Optimizing R&D strategy through organized patent database
 
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni Madrid
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni MadridICIC 2013 Conference Proceedings Ricardo Eito Brun Uni Madrid
ICIC 2013 Conference Proceedings Ricardo Eito Brun Uni Madrid
 
Are Patents Worth The Trouble? by Kunzler IP
Are Patents Worth The Trouble? by Kunzler IPAre Patents Worth The Trouble? by Kunzler IP
Are Patents Worth The Trouble? by Kunzler IP
 
II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...II-PIC 2017: To err is human – growing in experience as a patent information ...
II-PIC 2017: To err is human – growing in experience as a patent information ...
 
II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...
 
II-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUGII-PIC 2017: Patent Information User Group PIUG
II-PIC 2017: Patent Information User Group PIUG
 
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...
AI-SDV 2021 - Holger Keibel; Daniele Puccinelli - Leveraging pre-trained lang...
 
IC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePointIC-SDV 2018: Search Technology / VanatagePoint
IC-SDV 2018: Search Technology / VanatagePoint
 
II-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IPII-PIC 2017: Product presentation Lighthouse IP
II-PIC 2017: Product presentation Lighthouse IP
 
II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...II-PIC 2017: Gain insight into technical, legal and business information thro...
II-PIC 2017: Gain insight into technical, legal and business information thro...
 
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
AI-SDV 2020: Using Transformer technology to build an AI based personal News ...
 
Potential liability of lawyers performing/handling patent and trademark searc...
Potential liability of lawyers performing/handling patent and trademark searc...Potential liability of lawyers performing/handling patent and trademark searc...
Potential liability of lawyers performing/handling patent and trademark searc...
 
Patent Basics and Intellectual Property Rights
Patent Basics and Intellectual Property Rights Patent Basics and Intellectual Property Rights
Patent Basics and Intellectual Property Rights
 
Introduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & AnalysisIntroduction to Global Patent Searching & Analysis
Introduction to Global Patent Searching & Analysis
 
II-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in NiceII-SDV 2015, 20 - 21 April, in Nice
II-SDV 2015, 20 - 21 April, in Nice
 
II-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexisII-PIC 2017: Product Presentation LexisNexis
II-PIC 2017: Product Presentation LexisNexis
 
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
ICIC 2017: The Use of Patent Information for Innovation and Competitive Intel...
 
Wireless Patent Monetization New Business Model
Wireless Patent Monetization New Business ModelWireless Patent Monetization New Business Model
Wireless Patent Monetization New Business Model
 
Investigative powers in practice – CHILE – November 2018 OECD GFC
Investigative powers in practice – CHILE – November 2018 OECD GFCInvestigative powers in practice – CHILE – November 2018 OECD GFC
Investigative powers in practice – CHILE – November 2018 OECD GFC
 
Give it legs concept to consumption model copy
Give it legs  concept to consumption  model copyGive it legs  concept to consumption  model copy
Give it legs concept to consumption model copy
 

Viewers also liked

Power point presentation acid and alkali
Power point presentation acid and alkaliPower point presentation acid and alkali
Power point presentation acid and alkaliMuhammad Umar
 
8d5eb957b9390c513b4e073deb50027f
8d5eb957b9390c513b4e073deb50027f8d5eb957b9390c513b4e073deb50027f
8d5eb957b9390c513b4e073deb50027fChanamon Monjai
 
โครงงานคอมพ
โครงงานคอมพ โครงงานคอมพ
โครงงานคอมพ Chanamon Monjai
 
Intro to Functional Programming
Intro to Functional ProgrammingIntro to Functional Programming
Intro to Functional ProgrammingAndraž Bajt
 
Wie gross war deine familie?
Wie gross war deine familie?Wie gross war deine familie?
Wie gross war deine familie?dsagmanli1
 
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...The Journey to World Class Presentation Contract Management - IACCM Sydney Co...
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...David Gee
 
Power point presentation acid and alkali
Power point presentation acid and alkaliPower point presentation acid and alkali
Power point presentation acid and alkaliMuhammad Umar
 
Web Socket
Web SocketWeb Socket
Web SocketJack Bui
 

Viewers also liked (10)

Power point presentation acid and alkali
Power point presentation acid and alkaliPower point presentation acid and alkali
Power point presentation acid and alkali
 
8d5eb957b9390c513b4e073deb50027f
8d5eb957b9390c513b4e073deb50027f8d5eb957b9390c513b4e073deb50027f
8d5eb957b9390c513b4e073deb50027f
 
โครงงานคอมพ
โครงงานคอมพ โครงงานคอมพ
โครงงานคอมพ
 
Intro to Functional Programming
Intro to Functional ProgrammingIntro to Functional Programming
Intro to Functional Programming
 
Project
ProjectProject
Project
 
Wie gross war deine familie?
Wie gross war deine familie?Wie gross war deine familie?
Wie gross war deine familie?
 
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...The Journey to World Class Presentation Contract Management - IACCM Sydney Co...
The Journey to World Class Presentation Contract Management - IACCM Sydney Co...
 
Power point presentation acid and alkali
Power point presentation acid and alkaliPower point presentation acid and alkali
Power point presentation acid and alkali
 
Web Socket
Web SocketWeb Socket
Web Socket
 
9 15
9 159 15
9 15
 

Similar to Visualize Competitor Patent Data

Intellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company OverviewIntellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company OverviewEPatents IP Services
 
Due diligence and the analyses og the patent landscape
Due diligence and the analyses og the patent landscapeDue diligence and the analyses og the patent landscape
Due diligence and the analyses og the patent landscapeKapea AB
 
Patent Licensing and Valuation Tips
Patent Licensing and Valuation TipsPatent Licensing and Valuation Tips
Patent Licensing and Valuation Tipscaparra
 
Comparative Patent Quality
Comparative Patent QualityComparative Patent Quality
Comparative Patent QualityDavid Holt
 
Patent search from product specification final
Patent search from product specification finalPatent search from product specification final
Patent search from product specification finalIIITA
 
PatAnalyse Presentation
PatAnalyse PresentationPatAnalyse Presentation
PatAnalyse Presentationzhiv12
 
PatAnalyse presentation
PatAnalyse presentationPatAnalyse presentation
PatAnalyse presentationvictor_zh
 
Technology management
Technology managementTechnology management
Technology managementUfuk Kılıç
 
Guide for effectively utilizing patent information for business needs
Guide for effectively utilizing patent information for business needsGuide for effectively utilizing patent information for business needs
Guide for effectively utilizing patent information for business needsIntepat IP
 
411 on IP 101 for Tech-Geeks in the Startup World
411 on IP 101 for Tech-Geeks in the Startup World411 on IP 101 for Tech-Geeks in the Startup World
411 on IP 101 for Tech-Geeks in the Startup WorldG. Nagesh Rao
 
Protecting Intellectual Property
Protecting Intellectual PropertyProtecting Intellectual Property
Protecting Intellectual Propertykborah
 
Patent Landscape Analysis: Navigating Intellectual Property | InventionIP
Patent Landscape Analysis: Navigating Intellectual Property | InventionIPPatent Landscape Analysis: Navigating Intellectual Property | InventionIP
Patent Landscape Analysis: Navigating Intellectual Property | InventionIPInvention ip
 
Taking Advantage of the PCT: Strategies, Tips, and Best Practices
Taking Advantage of the PCT: Strategies, Tips, and Best PracticesTaking Advantage of the PCT: Strategies, Tips, and Best Practices
Taking Advantage of the PCT: Strategies, Tips, and Best PracticesPatterson Thuente IP
 
Intellectual Property Strategy
Intellectual Property StrategyIntellectual Property Strategy
Intellectual Property StrategyElijah Ezendu
 
KnowMade company presentation
KnowMade company presentationKnowMade company presentation
KnowMade company presentationKnowmade
 
Methods to improve Freedom to Operate analysis
Methods to improve Freedom to Operate analysisMethods to improve Freedom to Operate analysis
Methods to improve Freedom to Operate analysisDauverC
 

Similar to Visualize Competitor Patent Data (20)

Intellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company OverviewIntellectual Property Serrvices Outsourcing- India Company Overview
Intellectual Property Serrvices Outsourcing- India Company Overview
 
Due diligence and the analyses og the patent landscape
Due diligence and the analyses og the patent landscapeDue diligence and the analyses og the patent landscape
Due diligence and the analyses og the patent landscape
 
Patent Licensing and Valuation Tips
Patent Licensing and Valuation TipsPatent Licensing and Valuation Tips
Patent Licensing and Valuation Tips
 
Comparative Patent Quality
Comparative Patent QualityComparative Patent Quality
Comparative Patent Quality
 
Intellectual property
Intellectual propertyIntellectual property
Intellectual property
 
Intellectual property
Intellectual propertyIntellectual property
Intellectual property
 
Patent search from product specification final
Patent search from product specification finalPatent search from product specification final
Patent search from product specification final
 
PatAnalyse Presentation
PatAnalyse PresentationPatAnalyse Presentation
PatAnalyse Presentation
 
PatAnalyse presentation
PatAnalyse presentationPatAnalyse presentation
PatAnalyse presentation
 
Technology management
Technology managementTechnology management
Technology management
 
Guide for effectively utilizing patent information for business needs
Guide for effectively utilizing patent information for business needsGuide for effectively utilizing patent information for business needs
Guide for effectively utilizing patent information for business needs
 
PGD in patent law and management
PGD in patent law and managementPGD in patent law and management
PGD in patent law and management
 
411 on IP 101 for Tech-Geeks in the Startup World
411 on IP 101 for Tech-Geeks in the Startup World411 on IP 101 for Tech-Geeks in the Startup World
411 on IP 101 for Tech-Geeks in the Startup World
 
Protecting Intellectual Property
Protecting Intellectual PropertyProtecting Intellectual Property
Protecting Intellectual Property
 
Patent Landscape Analysis: Navigating Intellectual Property | InventionIP
Patent Landscape Analysis: Navigating Intellectual Property | InventionIPPatent Landscape Analysis: Navigating Intellectual Property | InventionIP
Patent Landscape Analysis: Navigating Intellectual Property | InventionIP
 
Taking Advantage of the PCT: Strategies, Tips, and Best Practices
Taking Advantage of the PCT: Strategies, Tips, and Best PracticesTaking Advantage of the PCT: Strategies, Tips, and Best Practices
Taking Advantage of the PCT: Strategies, Tips, and Best Practices
 
Intellectual Property Strategy
Intellectual Property StrategyIntellectual Property Strategy
Intellectual Property Strategy
 
KnowMade company presentation
KnowMade company presentationKnowMade company presentation
KnowMade company presentation
 
Methods to improve Freedom to Operate analysis
Methods to improve Freedom to Operate analysisMethods to improve Freedom to Operate analysis
Methods to improve Freedom to Operate analysis
 
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
UNH Law/WIPO Summer School: 2017 Patent Information and its Usefulness
 

Recently uploaded

Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation SlidesKeppelCorporation
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdfRenandantas16
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 DelhiCall Girls in Delhi
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Serviceritikaroy0888
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurSuhani Kapoor
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...lizamodels9
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaShree Krishna Exports
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageMatteo Carbone
 
BEST ✨ Call Girls In Indirapuram Ghaziabad ✔️ 9871031762 ✔️ Escorts Service...
BEST ✨ Call Girls In  Indirapuram Ghaziabad  ✔️ 9871031762 ✔️ Escorts Service...BEST ✨ Call Girls In  Indirapuram Ghaziabad  ✔️ 9871031762 ✔️ Escorts Service...
BEST ✨ Call Girls In Indirapuram Ghaziabad ✔️ 9871031762 ✔️ Escorts Service...noida100girls
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...Any kyc Account
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Neil Kimberley
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsApsara Of India
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Dave Litwiller
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth MarketingShawn Pang
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfPaul Menig
 

Recently uploaded (20)

Keppel Ltd. 1Q 2024 Business Update Presentation Slides
Keppel Ltd. 1Q 2024 Business Update  Presentation SlidesKeppel Ltd. 1Q 2024 Business Update  Presentation Slides
Keppel Ltd. 1Q 2024 Business Update Presentation Slides
 
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf0183760ssssssssssssssssssssssssssss00101011 (27).pdf
0183760ssssssssssssssssssssssssssss00101011 (27).pdf
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
 
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service JamshedpurVIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
VIP Call Girl Jamshedpur Aashi 8250192130 Independent Escort Service Jamshedpur
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in India
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
 
BEST ✨ Call Girls In Indirapuram Ghaziabad ✔️ 9871031762 ✔️ Escorts Service...
BEST ✨ Call Girls In  Indirapuram Ghaziabad  ✔️ 9871031762 ✔️ Escorts Service...BEST ✨ Call Girls In  Indirapuram Ghaziabad  ✔️ 9871031762 ✔️ Escorts Service...
BEST ✨ Call Girls In Indirapuram Ghaziabad ✔️ 9871031762 ✔️ Escorts Service...
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
 
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call GirlsCash Payment 9602870969 Escort Service in Udaipur Call Girls
Cash Payment 9602870969 Escort Service in Udaipur Call Girls
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through CartoonsForklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
 
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
Tech Startup Growth Hacking 101  - Basics on Growth MarketingTech Startup Growth Hacking 101  - Basics on Growth Marketing
Tech Startup Growth Hacking 101 - Basics on Growth Marketing
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
 
Grateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdfGrateful 7 speech thanking everyone that has helped.pdf
Grateful 7 speech thanking everyone that has helped.pdf
 

Visualize Competitor Patent Data

  • 1. Competing Patent Applicants’ Business Relevant Data Representation Nissrine El Marchoum
  • 2. Outline  Background  Patent Application & Evaluation  Business-Relevant Competing Applicant Data  Stakeholders  Data Sources  Relevant Data  Country of Applicants  Commercial Potential  Monopoly Power  Patent Portfolio  Competitor Monitoring  Competing Applicants’ Data Representation  Back Office  Data Search Representation  Data Representation  Conclusion
  • 3. Background: Definitions  A Patent: the right granted to an inventor -for a specific period of time- that forbids any other party from making, using or selling his invention without his permission (EPO).  A patent is a negative right  Patent Applicant: entity who requests the ownership of a patent via a written request.
  • 4. Background: Motivation & Assumptions  Motivation  Provide visual aids and decision making basis to decision makers  Assumptions  Difference between European patent system and that of other countries rather trivial.  Stakeholders are mainly investors  Discard patent examiners perspective (matter of scope)
  • 5. Patent Application & Evaluation  Applicants fill patent application documents and provide endorsing documents  Application evaluation takes place  By Patent Examiners  Final Decision communicated to the patent applicant  Grant, Rejection or suspension
  • 6. Stakeholders of Patent Applicant Information  Patent Examiners are rather interested in the intellectual property aspect of the patent  Business stakeholders:  Firms interested in investing in new technologies/markets  Contribution to background checks on potential partners  Track competition
  • 7. Patent Applicants’ Data Sources  Not easy.  Patent Databases hold limited information about patent applicants (e.g. name, address, date… etc.)  Use them as a starting point for research  Large Firm Listing Databases (eg. IBISWorld)  Interesting business information.  No direct mapping to the applicants  Best Practice:  Investigate patent business-relevant information  Combine results with data about patent applicants from external data sources
  • 8. Business-Relevant Data About Applicants 1. Country of Applicants 2. Commercial Potential 3. Monopoly Power 4. Patent Portfolio 5. Competitor Monitoring
  • 9. 1. Country of Applicant  Use country of competing patent applicants to compare patent systems for a cost-benefit analysis  Patent fees  Flow of returns Is it economically viable to invest in the patents the applicants are holding (or apply for)?
  • 10. 2. Commercial Potential  Potential: ability or intent to commercialize the subject of the patents at hand  How profitable is the commercialization of the invention/idea?  Applicants holding a patent for fairly long can be a proof of its commercial value
  • 11. 3. Monopoly Power  Does the fact that competing applicants hold some patents imply that these applicants own the exclusive right to monopolize the concerned inventions?  Frequency of Patent Renewal  Owning a patent and frequently renewing it tells a lot about the patentee.
  • 12. 4. Patent Portfolio  Approach revolves around what patent applicants & what they intend to do with it.  Patent Portfolio Diversification  Many patents of poor value vs. few patents of high value  Patents in dead fields vs. patents in promising fields  Therefore, stakeholders can infer:  Diversification Strategies  Investment interests  Competitive Potential
  • 13. 5. Competitor Monitoring  Strategic Management  Track the competing applicants’ pool of patents and react accordingly  Holger Ernst (2003), Beisheim Graduate School:  Use of indicators for monitoring competitors by assessing their patenting strategy  By extension define the key aspects and motivations that drive their investment decisions.
  • 14. Important Patenting Indicators for Competitor Monitoring Patent information for strategic technology management, Ernst, H. 2003
  • 15. Data Representation: A concept  Back Office  Cloud Computing Technology  Consider Cost  Use Data Mining Algorithms
  • 16. Data Search & Representation Process Filter Search Display Results
  • 17. Data Search & Display Process Explained  Selecting the search filter  By Patent Applicant’s Name  By Country  By Field of Business  By Inventors  Perform Search Algorithms  Build a Model  Clustering, classification, data analytics algorithms…
  • 18. Data Search & Display Process Explained  Display of Results
  • 19. Conclusion  Gathering relevant data from a business perspective is not a trivial task  Requires analysis & business background  Already existing DBs do not explicitly hand in the information  Future Work Suggestions  Data Repositories holding patent applicants data
  • 20. References  Alcácer, J., Gittelman, M., & Sampat, B. (2009). Applicant and examiner citations in u.s. patents: An overview and analysis. Research Policy.  Epo - glossary. (2012, 12 20). Retrieved from http://www.epo.org/service-support/glossary.html.  Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25(2003), 233-242. Retrieved from http://www.journals.elsevier.com/worldpatent-information .European Patent Office. (2012). Glossary. Retrieved June 10, 2013, from: http://www.epo.org/service- support/glossary.html#p.  European Patent Office. (2013). European patents and the grant procedure. Retrieved from http://www.epo.org/service-support/publications/procedure/european-patents.html.  Hsieh, C. (2012, 11 13). Patent value assessment and commercialization strategy. Retrieved from http://www.sciencedirect.com/science/article/pii/S0040162512002405.  Kelly, E.T., & Shear, T.E. (2003). A Researcher’s Guide to Patents. Plant Physiology, 132,1127-1130.  Lanjouw, J. O., Pakes, A., & Putnam, J. (1998). How to count patents and value intellectual property. The Journal Of Industrial Economics, XLVI(4), 405-432.  Pakes, A. (1986). Patents as options: Some Estimates of the Value of holding European Patent stocks. Econometrica, 54(4), 755-784. Retrieved from http://www.jstor.org/discover/10.2307/1912835?uid=2&uid=4&sid=21102433476691.  Pitkethly, R. (1997, March). The valuation of patents : A review of patent valuation methods with consideration of option based methods and the potential for further research. Retrieved from http://users.ox.ac.uk/~mast0140/EJWP0599.pdf.  Webster, E., & H.Jensen, P. (2011). Do Patents Matter For Commercialization?. Journal of Law And Economics, 54(2), 431-453. Retrieved from http://www.jstor.org/discover/10.1086/658487?uid=2&uid=4&sid=21102433428181.