Startupfest 2014 - "Techcrunch's Alex Williams once said, ""While the enterprise can be as boring as hell, the whole goddamn thing is paved with gold."" But how should an aspiring young startup crack open business-to-business markets that are insular, uncomfortable with experimentation, and intolerant of the kind of rapid iteration that fuels innovation? As it turns out, there are plenty of ways for start ups to innovate in the business to business space, and many of them come from the world of Big Data. In this session, Thomson Reuters' Mona Vernon will look at how organizations of all sizes can leverage abundant data to transform markets. You'll learn: - how big companies innovate - why working with large corporations is different than selling directly to the consumers - The advantages of working with large companies to solve their Big Data challenges If you're a B2B-focused startup, you can't afford to miss this session."

1. THE B2B OPPORTUNITY WITH BIG DATA – MONA VERNON

2. About Thomson Reuters
Comprehensive IP & scientific
information, decision support
tools & services to enable
governments, academia, publishers,
corporations & law firms.
Tax & Accounting
Financial & Risk
Integrated tax compliance and
accounting information,
software
& services for professionals in
accounting firms, corporations,
law firms and government.
Intellectual Property
& Science
Legal
Critical information, decision
support tools, software &
services to legal,
investigation, business and
government professionals.
Critical news, information &
analytics, enables
transactions, and connects
trading, investing, financial
and corporate professionals.
Key products include: Eikon, Thomson One,
Reuters 3000 Xtra, Datastream, FXall
Key products include: WestlawNext, FindLaw, Firm
Central, Concourse, CLEAR
Key products include: OneSource, Checkpoint, CS
Professional Suite, Government Revenue
Management
Key products include: Web of Knowledge, Cortellis,
ScholarOne, Thomson IP Manager, Mark Monitor
Reuters News
Powered by more than 2,800 journalists reporting in 20 languages from bureaus around the world, Reuters is the world’s largest
international news organization

3. About The Data Innovation Lab
• Partner with customers, third parties, and internal teams on new
data-driven innovations such as revealing new relationships and
data mining for new patterns, and deliver data visualization
prototypes
• Data sources: internal big data store, open data and social data
• Experiment with mash-ups of internal and external data in novel
ways
• Small team of amazing intrapreneur - data scientists
3

4. WHAT IS THE ENTERPRISE OPPORTUNITY WITH BIG DATA ?

5. The Enterprise Big Data Pain Point
Most large enterprises are generating a significantly
wider variety of data every day and this variety
challenge (more than volume or velocity – if your
counting Big Data “V”s) is becoming the biggest
bottleneck for enterprise analytics.
Mark Schreiber, Novartis
5

6. 3
2
1
High quality diverse data is the fuel for analytics
• Quant Research: Predictive and Performance Models
– Quant and analytical models mimicking human judgment
– Sentiment engines aggregating opinions
• Data Science: Predictive and Actionable Algorithms
– Predictive Machine Learning
– Persistent Point-in-Time Historical Analytics
– Point-in-Time Entity Mapping and Alignment
• Text Analytics: Descriptive Algorithms
– Tagging meta-data and parsing
– Search algorithms
6
One spectrum of analytics arranged from most human-
based to most machine-based
“even the most sophisticated front end tools will merely
be window dressing on a spoiled carcass of bad and
disconnected data “– Andy Palmer, Tamr Inc.

7. Benefits of Big Data – View from one sector

8. Planned Future Investment in Big Data

9. HOW TO BREAK IN THE ENTERPRISE MARKET WITH BIG DATA?

10. Coporation innovation is changing
Enterprise data management is changing:
Traditional approach meets the bottom-up approach: Treat
everything as unstructured, keep the top-down approach as
a starting point, and then let the algorithms mine for value.
• New tools, new attitudes: Leverage Open
standards and Open Source
• Rapid iteration – lean experiment as a way to
manage uncertainty and keep up with the pace of
change
• Partner with innovators like start-ups and
academics to keep up with technology change

11. Good news: Software Is Eating The World

12. Yes, Software Is Eating The World

13. Yes, Software Is Eating The World
YOU ARE NOT GOING TO BE ALONE !

14. Find a champion, over deliver, repeat
• Who is passionate vs. who can make it happen
• Who will sign the first check
• Who will define success metrics
• Who will iterate with you on the lean evaluation
• Who will champion you to become a vendor
• Who are you competing against: Legacy, R&D, Big
players, other start-ups?
• When do you break-up and try again elsewhere

15. DATA INNOVATION LAB
THOMSON REUTERS
INNOVATION DISTRICT
BOSTON USA
@monavernon