Fintech summit 2016 thomson reuters tim baker_presentation final

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THOMSON REUTERS: TRANSFORMING TO AN OPEN PLATFORM

Transcript of Fintech summit 2016 thomson reuters tim baker_presentation final

Page 1: Fintech summit 2016 thomson reuters tim baker_presentation final

THOMSON REUTERS: TRANSFORMING TO AN OPEN PLATFORM

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THOMSON REUTERS: WHO ARE WE?

Thomson Reuters is the world’s leading source of intelligent information for businesses and professionals.

We are powered by the world’s most trusted news organization.

*Subject to potential

transaction

F&R has now enjoyed 7 consecutive quarters of positive growth driven by investments in content, service, new platform.

Achieved 30% EBITDA margin target in 4Q15, an improvement of more than 400 basis points since 2013.

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FINANCIAL & RISK: WHAT WE DO

Driving Performance

Enabling Connectivity

Managing Risk & Regulation

• 2 million news stories per year

• 5,000+ investment firms and hedge funds supported world-wide

• $250 billion in bond trading supported daily

• $420 billion+ in FX trading per day

• 40,000+ regulatory alerts supplied to the world’s banks per year

• 2 million+ individuals and entities that can pose a potential risk

to the international business community are tracked daily

• 11 million+ Messaging interactions daily

• 2.5 million~ price updates distributed per second to the

financial markets

We serve more than 40,000 customers and 400,000 end-users in

more than 150 countries:

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NEWS & COMMENTARY

Commentary

Global and Domestic News

Newsletters

Significant Developments

Video

Commodities Research & Forecasts

MACRO-ECONOMIC

DATA

Country Data

Economic Indicators and Polls

Industrial Activity

MARKET DATA & PRICING

Equities

Commodities & Energy

Derivatives & Options

Fixed Income

Foreign Exchange

FX and Interest Rate Polls

Futures

Global Aggregates

Indexes and Benchmarks

Loan Pricing

SPECIALIZED DATA

Commodities Fundamentals

Deals & Transactions

Intelligence

Mutual Fund Data (Lipper)

Quantitative Analytics and

Models

Private Equity Data

RISK & REGULATORY

Official California Code of

Regulations

KYC Org ID

People Screening

Regulatory Intelligence

Risk Screening

SCIENTIFIC DATA

Biomarkers

Chemistry

Clinical Trials

Disease Reports

Drug Experimental Results

Drug Reports

Drugs / Compounds

Genomics

Zoological Records

RISK & COMPLIANCE

Know Your Client (KYC)

Operational Risk Management

Regulatory Risk Management

LEGAL DISPUTES

Arbitration

Administrative Case Law

Jury Verdicts

Tax Case Law

Court Dockets

Court Filings

LAWS & REGULATIONS

Bills (Legislation)

Court Rules

Financial Regulations

Science Regulations

Tax Regulations

Statutes

Treaties

INTELLECTUAL

PROPERTY

Intellectual Property

Copyrights

Patents/Applications

Trademarks

VALUE CHAIN DATA

Suppliers

Distributors

Network of relationships

Type, relevance and

characteristics of

relationships

REFERENCE DATA

Index Constituents and Weightings

Industry Classifications

Security Identifiers

Terms and Conditions

COMPANY DATA

Broker Research

Business Classifications

Credit (CDS)

Company News

Competitors

Corporate Actions

Debt & Syndicated Loans

Entity Risk (Corporate Structures)

ESG Data (Ranking and Ratings)

Estimates

Events & Transcripts

Fundamentals

M&A

Officers & Directors

Ownership & Bond Holdings

Private Company Data

Shareholder Activism Intelligence

StarMine® Scores

Transactions

Valuation

THOMSON REUTERS CONTENT COVERAGE

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MANY FORCES AT PLAY (SAMPLE)

What’s trending down What’s trending up

Bundled [products, pricing, content] Atomized, mass customised

All you can eat Pay by the drink

Cheap Capital Regulatory capital

Regulation: Hire lawyers, lobby, hope (Risk) Compliance process - competitive advantage

Advisory Robo Advisory

Bank Lending Peer to peer lending

Centralized [clearing, ledgers,..] Decentralized, peer to peer

Platform dependent application Platform agnostic aps & bots

Build platforms Build on platforms (Platform as a Service)

Closed, proprietary Open, interoperable

Data Feeds, FTP and Bulk APIs and Micro Services

Deployed, Data Centers Hosted, public cloud

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NEW TECHNOLOGIES IMPACTING FINANCIAL MARKETS

BIG DATA &

SEMANTIC WEB

INTERNET OF

THINGS

THE CLOUD

BLOCKCHAIN

COGNITIVE

COMPUTING

OPEN SOURCE

& API ECONOMY

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FrameworkTR Capability

Open PermID

Content Market Place, MDaaS

TRiT / Concord / TAMR / DataFusion

TR GraphDataFusion

Data Science as a Service

[Unique] Identity

Relationship [Mapping]

[Data] Integration

[Entity]

Analytics

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OPEN PERMID: ACCESS TO TR’S UNIVERSAL IDENTIFIER

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• What:

• Well established as an internal identifier

• Core of the Content eco system

• We will license this to third parties, with some aspects to be openly licensed free of charge.

• Why:

• Ease client data integration

• Lower total cost of ownership.

• How:

• The PermID Website makes a subset of data publically available.

• Gradual availability of the PermID across all strategic platforms.

• Strategic feed products are first DataScope Select, DataScope Equities, TRKD FTP and SymCo.

The Thomson Reuters Permanent Identifier (PermID) uniquely identifies objects in TR’s

information model

The Open PermID dataset is licensed under the Creative Commons licensing framework

PermID.org

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INTELLIGENT TAGGING KEY FEATURES

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DATAFUSION: ENTITY ANALYTICS IN A BOX

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Source: • TR DataFusion• TR DataLake• 4 Steps (30%)

THE BUSINESS WORLD IS MORE NUANCED / COMPLEX

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SEARCH IS BROKEN

What is the relationship between Bill Gates and Warren Buffett?

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According to a recent study by IDC, “The High Cost of Not Finding Information,” the average knowledge worker spends up to 2.5 hours per day searching for or gathering information or data. This includes

searches, email queries and other related tasks that all result in a massive amount of time spent trying to find information that already exists. This equates to approximately 400 or so hours per employee, per

year searching or gathering information. Using these numbers, we can calculate that a firm such as Goldman Sachs, with approximately 32,000 employees, earning on average $105,000/employee, would

be spending approximately $646 million per year on enterprise search.

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USE CASES ARE BROADBASED AND DIVERSE

Graph tech is rapidly moving into professional scenarios• “25% of enterprises will use graph db by 2017” -

Forrester• “Graph analysis is possibly the single most effective

competitive differentiator for organizations pursuing data-driven operations and decisions.” – Gartner

“Don’t just give me what I

asked for – tell me what I

need to know.”

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AND FINALLY – WHERE ARE WE GOING WITH THIS?

• Score the relevance of a news story to a company

• Automatically filter out noise in the graph and highlight important connections

• Generate reports, dashboards and power intelligence search using indirect relationships only available in the graph using consumer facing API’s

News / Events Entity

The graph has power to identify stories from indirect relationships, but:

• Difficult to interpret complex graphs

• Difficult to determine relevance of relationships

Intelligent InformationComplexity

90%

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THANK YOU & G’DAY

[email protected]

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