1. HOW THOMSON REUTERS SOLD MDM TO THEIR CxOs?
MDM day Keynote address during – Informatica World 2013
Nallan Sriraman (Sri)
Chief Architect & Head of India Operations – MIS
June 2013
Thomson Reuters

2. Disclaimer
This is not Informatica’s Sales Pitch
It is the Journey Thomson Reuters took over the course of 3 years before
investing in MDM Customer Master !!!
2

3. 400,000 Financial business users
80% of Fortune 500 companies use Legal
Research
All of the top 100 CPA firms use Tax and
Accounting solution, Checkpoint
20 Million Intellectual Property &
Science users
1 Million market moving news stories a
year
• Leading source of intelligent
information for the world’s
businesses and professionals
• $13.3 billion 2012 revenues &
33.4% adjusted EBITDA margin
• Number 1 or 2 in the markets/region
we operate on
• 60,000+ employees across 100+
countries
• The world’s most trusted news
organization
© 2013 Thomson Reuters 3

4. The Journey Began in 2010
• Various business engaged SIs to
look at data
• End result 50+ slides (from each) of
issues with data with 1 slide
summary =>
– You need Comprehensive Master Data
Strategy and need MDM to implement
• They didn’t answer what
Comprehensive Master Data
Strategy is or how MDM is going to
address the issues
© 2013 Thomson Reuters 4

5. Don’t Sell MDM
It didn’t work !!
© 2013 Thomson Reuters 5

6. Why?
MDM = bad connotation
takes too long to implement
too expensive to justify investment
MDM != Clean Data
Our Business Stakeholders
didn’t know or care
what Master Data Management was?
All they wanted, CLEAN DATA that is Connected
© 2013 Thomson Reuters 6

7. Where was our most PAIN?
1. Which domain has the most dirty data ?
– Customer, Product, Vendor
2. How many systems affected?
3. What is the cost of fixing dirty data ?
4. What is the revenue loss due to dirty data ?
5. What is the opportunity lost due to dirty data ?
© 2013 Thomson Reuters 7

8. Customer Data & Tipping point
• Labor intensive to manage / clean data – cost of labor
– 10s of systems actively managing customer data
– 0,000,000s accounts in the eco system (so far counted)
• Lack of 360 view of customers
– Inability to cross sell – up sell
Company moving
from
Portfolio
to
running integrated business
© 2013 Thomson Reuters 8

9. Idea of Enterprise Customer Master
1. Authoritative source for
customer data
2. All customer data related
activities are driven directly from
ECM
3. Effective data governance –
Ownership with Business across
Enterprise
4. Few tools to manage the data
Customer
Master
Order
to
Cash
Customer
Insights
Inquiry
to
Order
Customer
Data
Admin
Tools
Cleansing
/
Validation
/
Enrichment
Service
/
Support
Transactional
Systems
Customer
Data
Management
Research
&
Analytics
Systems
Deliver
Product
The business case is for
Business transformation of
Customer Data NOT for MDM
© 2013 Thomson Reuters 9

10. Small Small Start - Lessons Learned
1. Get your Data Model right
2. Establish your governance model with
“Teeth”
3. Do aggressive inventory and have a
measure of quality to quantify the data
4. Understand the nuances of managing
the data and test the Governance Teeth
5. Demonstrate incremental value every
Quarter - Don’t wait for 18 months for
value Look for Investment
TIPPING POINT
© 2013 Thomson Reuters 10

11. Where are we in our Journey?
Phase 0 : Business engagement, process and
data model definition – 3 months
Phase 1 : Proof of Concept with Informatica
MDM and tested framework, some cleansing
rules, and governance processes – 6 months
Phase 2 : Production build out and
Mass Cleansing – 6 months
Phase 3 : Write-back to destination systems –
12 – 18 months
Phase 4 : Steady state and support future
acquisitions
© 2013 Thomson Reuters 11