21st century ip analytics: linking patent data to company data · introduction 1. the challenge:...

21st Century IP analytics: linking patent data to company data

Global Head of IP Products

Santhosh Metri

Introduction

1. The challenge:

• the issues affecting strategic decision making in intellectual property (IP) industry

2. The solution:

• combining company and patent information – an overview of Bureau van Dijk’s Orbis Intellectual Property

3. Research example:

• superior patent analytics applied to an industry for commercialisation and portfolio management

4. Other examples of research

2

The challenge1

Internal pressures

Difficult decisions

External factors

Major IP industry issues

• Alignment between IP and business strategy

• IP Filings: volume versus value

• Annuities & Portfolio pruning

• Big data

• Patent trolls

• Complex ownership structures

• Resource limitations

• IP commercialization

• Innovation leadership

The solution2

6

Traditional analysis –

patent data

Company analysis –

company data

Superior patent analytics

7

Combining company and patent information for intellectual property management and strategy

Combining patent and company information: key data

8

Corporate

ownership

• True owner

of patents

• Patents filed

by local

offices

• Patents

linked to

beneficial

owner

Industry

sectors

• Industry

sector data

for analytics

• White / grey

space

Financial

information

• Startups and

competitors

• Companies

by turnover

and number

of employees

Patent

valuations

• Market value

of inventions

• True value of

patents in the

portfolio

Patent and

M&A

transactions

• Innovation

focus

• Historical

transaction

data

• M&A

transactions

monitoring

Explore technology partners

9

Source: Bureau van Dijk’s Orbis Intellectual Property.

Academics1 413

Corporates13 600

Financial institutes

1 590

Government204

Inventors2 600

Number of other patents holders in the company’s technology area

IP Solution (IP & Associated Data)Patent Ownership Tracking

Patent Transactions – Deal Classification (1/2)Orbis Intellectual Property: Transaction deal types1. Research & Innovation Partnership: If any innovation institute or University transfers IP to another entity

these transactions can be classified into this category

2. Corporate Acquisition: If the acquisition is between two practicing entities (any firm other than universities, banks, investment funds, law groups, NPE’s)

3. Non Practicing Entities: For any transaction involving an NPE entity as an acquirer would be classified into this category

4. Assignment as Collateral : If the name of the acquirer involves an entity type as bank/ funding agency – the deals are then classified into this category

5. Release of Collateral: If the name of the vendor involves an entity type as bank/ funding agency – such deals are to be classified into this category

6. M&A: Patents were transferred as part of an M&A deal

7. Intra-company: Patent transfers between entities falling under the same GUO for tax/legal reasons

8. Government: Assets of interest to government will be acquired/reassigned to government agencies for security

11

Transactions – Completed v/s Announced

12

Source: Bureau van Dijk’s Orbis Intellectual Property and analysis.

Research example3

Companies with and without IP

14


More than 99% of the

entities within the telco

space operate without

any IP in their portfolio

Patent value distribution

15


Enabling overview of value distribution as opposed to volumes

IP value versus turnover

16


0

50

100

150

200

250

2011 2012 2013 2014 2015 2016 2017

Turnover Average portfolio value

million USD

A company

with strong

patent

portfolio

but

declining

financials

Transactions

17


Number of other patents holders in the company’s technology area

70748, Completed22703,

Announced

37356, Rumoured

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Transaction distribution

Corporate Collateral Academics Others

Commercialisation opportunities

18


0 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000

Small

Medium

Large

Very large

With IP Without IP

Number of organisations active in the company’s technology areas,

by size and IP status

The company satisfies at least

one of the conditions:

Very large Large Medium Small

Operating revenue ≥ USD 130 million ≥ USD 13 million ≥ USD 1.3 million Not included in

the other

categories Total assets ≥ USD 260 million ≥ USD 26 million ≥ USD 2.6 million

Employees ≥ 1,000 ≥ 150 ≥ 15

Other listed not very large not very large or large

About the company

• Country: Singapore

• Activity: telecom equipment manufacturer

• Date of incorporation: 31 December 1983

• Listed on the Singapore Exchange

• Market cap on 21 June 2018: USD 313 million

• Turnover for 2017: USD 69.9 million, but decreasing

• Net income for 2017: USD -22.9 million

• Ownership: 16 subsidiaries

• Mature IP portfolio

Source: Bureau van Dijk’s Orbis Intellectual Property and research.

19

IP dashboard


20

Portfolio value trend and focus areas

21

Note: WIPO, WO – World Intellectual Property Organization.

US – USA, CN – China, SG – Singapore, GB – United Kingdom. Source: Bureau van Dijk’s Orbis Intellectual Property.

Patent value trends

22

Patent 1

Patent 2


Benchmarking against peers

23


The company’s innovation strength

Patent transaction activity

24


Other examples of research4

Other examples of research

• Get a corporate group view of patents

• Use patent and M&A transactions and patent portfolio valuations to identify trends in innovation and technology

• Conduct opportunity analysis (white / grey space)

• Identify top acquirers, investors and sellers based on intellectual property and M&A data

• Find M&A targets that are highly innovative startup’s and SMEs

• Locate collaboration partners including academics, technology transfer units and innovative organizations

• Assess a company’s innovation capability, priorities, portfolio strengths and weaknesses, positioning and patterns

over time

Thank you6

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21st century ip analytics: linking patent data to company data · introduction 1. the challenge:...

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