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Unlocking the Value of Big Data
in 2014

Paul Ballew
Chief Data & Analytics Officer
February 27, 2014

This presentation is Confidential and Proprietary. The information is intended only for D&B customers pursuant
to their D&B Master Agreement and for D&B associates or other invited participants.  Dun & Bradstreet 2013.
“Computing power will double
about every two years”

1965

1970

1975

1980

1985

1990

1995

2000

2005

2010

2015
2
Private fixed investment – IT
equipment & software has
become an increasingly
important component

1960

1970

1980

1990

2000

2010
3
30 years ago we were in search of the
basic tools
• Lack of transactional data –
surveys, surveys and more surveys
• Latency issues

• Storage and computing power –
remember the days of megabytes or
sharing a PC with other team
members
• Analytic methods – descriptive at
best
• … fragmented views of the truth that
lacked foresight in most cases
4
30 years later these issues have been solved
for (and now replaced with others)
• Transactional data on steroids
• Storage and processing power – our head is now in the
clouds
• Analytic capabilities that allows us to filter, determine
casualty and be prescriptive and proscriptive
• …. However we are still struggling to get to a complete
view, determine causality and have the ability to
possess foresight

5
The challenging news is that accomplishing our primary
mission is still difficult – and the current environment is
forcing us to up our game

BIG DATA DEMANDS BIG INSIGHT:
Companies must sift through huge quantities of data
to arrive at actionable insight

GROWING GLOBALIZATION:
Information is massively connected,
created and consumed everywhere

PROLONGED ECONOMIC UNCERTAINTY:
Continued uncertain financial outlook is forcing
businesses to do more with less

DISRUPTIVE TECHNOLOGICAL CHANGE:
Businesses must embrace new but quickly adopted
social, mobile, local and cloud technologies
6
Dilbert may not need actionable insights…
relying on other factors

7
But our real customers continue to ask more
difficult questions and expect innovation to outpace
their need

8
The solution - Big Data? Absolutely, but what we really
need is Big Insight

90% of the world‟s
data was created in
the last 2 years
2.7 billion “likes” &
30 billion pieces of
content are posted
on Facebook daily

250 billion emails
are sent
everyday

2.5 exabytes of data
created everyday – almost
2 zeta bytes/year = 200
billion high definition movies

Every hour enough
information is
consumed to fill 7
million DVDs

Big Data

75% of digital
information come
from individuals

85% of this data
is unstructured

Data is growing by a
minimum of
50%/year

More data crosses
the internet every
second than the
amount that was
stored on the net 20
years ago

9
Data just Data DATA!
It‟s notData aboutDATA!

10
Math Math about MATH!
It‟s not just Math MATH!

How to manage
world class
supply chain?

Where to invest?

It’s about making
better business
decisions

How do to
optimize sales &
marketing
investments?

How to target
better?

How to minimize
my risk?
11
11
Put simply, there are three levels of insight required
along your journey to informed perspective

“I need foundational
business insight.”

“I need integration of assets and
transactional data.”

I See You

I Know You

Global Data
Completeness

Multi-Lingual
Identity
Resolution

“I need predictive insights
on-demand.”

I Can Predict
Your Behavior
Predictive
Analytics

Transparent Relationships
Insight for Decisions

12
So we have evolved our strategy with a focus
on providing actionable insight

Propritary
Business
Activity
Signals
Social Media

Complete
Transparency in
Business
Real Estate
Relationship
Transactions
&
Ownership

Spend &
Purchasing
Transaction
Data

Innovating and expanding data
collection will result in:
3rd Party
Business
Activity
Signals

Logistic –
Shipping &
Delivery

 Linking together relationships
between trading partners to see a
complete supply chain
 Identifying the “heartbeat” of a
business, predicting its future
health, and rapidly seeing changes
 Deeper insight based on signal
patterns to anticipate the future
behavior of a business
 Understanding the true size of a
business in multiple
dimensions, including social
influence beyond its balance sheet
13
And this evolution includes leveraging new data assets
and predictive insights

INTELLECTUAL
SOCIAL/INFLUENTIAL
Twitter
Facebook
Fliptop/Leadspace
Aggregators

Patents
Goodwill, Intangibles
Future Inventions

CORPORATE
RESPONSIBILITY
Green
Ethical
Recognition / Awards
Charity / Social Responsibility
Political

FINANCIAL/
TRANSACTIONAL
Spend Data
Trade Data
Public Records
Shipment Data
Labor market Data

CONNECTIONS

PHYSICAL
INFRASTRUCTURE

Corporate Linkage
PitCoB
Logistics
Trade Groups
Supply Chain & Distribution

Property
Real Estate
Equipment
14
Our new data innovations are radically enhancing
our predictive power

Untraditional
Size ‘Proxies’

New
Data Sources

Proprietary
Data Signals

Enhancing
Analytic Capabilities

&

Traditional
Size Attributes

Number of
Employees

Sales
Revenue

Closing Foundational
Data Gaps

15
New strategies exist for risk-reward tradeoffs
with a multi-dimensional marketing score

Influential

Marketing Composite Score
3 SIZE Measurements
trending over time

Physical

+

SIZE

3 RISK Measurements

10
9
8
7
6
5
4
3
2
1
0

Financial

RISK
MCS
Illustration

=
1 POWERFUL Score

Total Loss

Viability
Delinquency
16
And new analytic capabilities the multi-dimensional
Viability rating delivers a highly insightful and reliable
assessment of a company‟s future viability
PREDICTIVE

DESCRIPTIVE

17
Identifying unique drivers, root causes, and
sensitivities that lead to specific types of outcomes
is also critical

Big disparate
sources of data…

…compiled, analyzed, and
correlated with other
signals/events over time…

…create insights
that anticipate
changes in…

…predictors, triggers,
activities

Risk

Material
Changes







Trending
Measuring
Counting events
Counting sources
Noting Order
Other

Marketing
Other
Adjacencies

18
By leveraging signals, you have the ability to
predict the likelihood a material change in a
company‟s profile will occur in the next year

Activity Signals

Behavioral Trends

Advanced
Anticipatory
Analytics
Analytics

Risk
Profile
Change

Opportunity
Profile
Change

Event Frequencies

Changes in Traditional
Data Sources

19
Advanced analytics can identify businesses that
are poised for growth, and anticipate customers‟
progression across the business lifecycle

Foresight into future needs enables
you to take the best action at the best time

Going Global
Act Now
Engage Here

Adult

Indication a major business
transition lies ahead

Going Public

High probability of
growth in near future

Emerging Adult

Growing Physically
and Financially
Pupa

Starting up
Molting Larva
Egg

Caterpillar

Businesses can be
thought to have stages of ‘size’,
like caterpillars growing into butterflies
20
But in order to be successful we must systematically
tackle the needs of our customers

I see you & know you
I can predict your future behavior

10M
5M
1M
400K
90K

Foundational

The full commercial opportunity

D&B Full Universe, Identify
Resolution, Linkage

Firmographic

Prospects that „look‟ like best customers

SIC, Employee, MultipleDimensional Size, Geo,
Predictive Insight (Proxies)

Strategic

And have right risk-reward balance

Marketing Composite Score

Strategic

And have greatest estimated spend potential

Custom Expenditure Model

Strategic

And have greatest potential for future growth

Material Change

Strategic

And are most likely to engage you

Custom Response Model

Advanced

And most likely to engage via specific
channel, at specific time, with specific offer

Customer Management
Actions - Lead Management
Actions

60K
50K

21
The winning hand is to incorporate science into
workflows in a systematic way….

Integrate
assets
including
Transactional
Data

Establish
complete
and intimate
knowledge of
customers and
prospects

Transform
insights
into action
Virtuous
Cycle
Teach &
Learn

Develop
foundational
knowledge
Inform
Focus on Creating an Informed Perspective for Customers
22
So we have developed a roadmap focused on a
systematic approach to providing customers the insight
they need

Provide Complete Transparency on Business Relationship:
•

Globally consistent data

•

Complete and actionable view

Provide Foresight To Execute Proactive Actions
•

Advanced analytics

•

Consultative support

23
30 years into my journey the speed of technological
change is still hard to comprehend

In 1995 there were 16 million internet users daily
24
Or predict what is next….

In 2013 there are 2.5 billion internet users daily – enabled by 1.5
billion smart phones (introduced in 2005!)
25
The real goal is to have a
complete, intimate, consistent and actionable
view of customers and prospects

I Know You

I Can Predict Your Future
Behavior, and Take
Action

I See You

ROBUST /
PREDICTIVE
DECISION SUPPORT
BASIC INFORMATION

As information matures, the ability to use it to drive different business activity evolves
26
We must embrace information that is rich, varied, and
full of opportunity and shift our focus from “hunting and
gathering” to new opportunities beyond just “Big Data”

Data sensing at the “Event Horizon”

27
The

future

belongs to

informed.

Follow the conversation at:
@dnbUS
@PaulBDnB

Visit us at:
www.dnb.com

28

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Unlocking the Value of Big Data in 2014

  • 1. Unlocking the Value of Big Data in 2014 Paul Ballew Chief Data & Analytics Officer February 27, 2014 This presentation is Confidential and Proprietary. The information is intended only for D&B customers pursuant to their D&B Master Agreement and for D&B associates or other invited participants.  Dun & Bradstreet 2013.
  • 2. “Computing power will double about every two years” 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2
  • 3. Private fixed investment – IT equipment & software has become an increasingly important component 1960 1970 1980 1990 2000 2010 3
  • 4. 30 years ago we were in search of the basic tools • Lack of transactional data – surveys, surveys and more surveys • Latency issues • Storage and computing power – remember the days of megabytes or sharing a PC with other team members • Analytic methods – descriptive at best • … fragmented views of the truth that lacked foresight in most cases 4
  • 5. 30 years later these issues have been solved for (and now replaced with others) • Transactional data on steroids • Storage and processing power – our head is now in the clouds • Analytic capabilities that allows us to filter, determine casualty and be prescriptive and proscriptive • …. However we are still struggling to get to a complete view, determine causality and have the ability to possess foresight 5
  • 6. The challenging news is that accomplishing our primary mission is still difficult – and the current environment is forcing us to up our game BIG DATA DEMANDS BIG INSIGHT: Companies must sift through huge quantities of data to arrive at actionable insight GROWING GLOBALIZATION: Information is massively connected, created and consumed everywhere PROLONGED ECONOMIC UNCERTAINTY: Continued uncertain financial outlook is forcing businesses to do more with less DISRUPTIVE TECHNOLOGICAL CHANGE: Businesses must embrace new but quickly adopted social, mobile, local and cloud technologies 6
  • 7. Dilbert may not need actionable insights… relying on other factors 7
  • 8. But our real customers continue to ask more difficult questions and expect innovation to outpace their need 8
  • 9. The solution - Big Data? Absolutely, but what we really need is Big Insight 90% of the world‟s data was created in the last 2 years 2.7 billion “likes” & 30 billion pieces of content are posted on Facebook daily 250 billion emails are sent everyday 2.5 exabytes of data created everyday – almost 2 zeta bytes/year = 200 billion high definition movies Every hour enough information is consumed to fill 7 million DVDs Big Data 75% of digital information come from individuals 85% of this data is unstructured Data is growing by a minimum of 50%/year More data crosses the internet every second than the amount that was stored on the net 20 years ago 9
  • 10. Data just Data DATA! It‟s notData aboutDATA! 10
  • 11. Math Math about MATH! It‟s not just Math MATH! How to manage world class supply chain? Where to invest? It’s about making better business decisions How do to optimize sales & marketing investments? How to target better? How to minimize my risk? 11 11
  • 12. Put simply, there are three levels of insight required along your journey to informed perspective “I need foundational business insight.” “I need integration of assets and transactional data.” I See You I Know You Global Data Completeness Multi-Lingual Identity Resolution “I need predictive insights on-demand.” I Can Predict Your Behavior Predictive Analytics Transparent Relationships Insight for Decisions 12
  • 13. So we have evolved our strategy with a focus on providing actionable insight Propritary Business Activity Signals Social Media Complete Transparency in Business Real Estate Relationship Transactions & Ownership Spend & Purchasing Transaction Data Innovating and expanding data collection will result in: 3rd Party Business Activity Signals Logistic – Shipping & Delivery  Linking together relationships between trading partners to see a complete supply chain  Identifying the “heartbeat” of a business, predicting its future health, and rapidly seeing changes  Deeper insight based on signal patterns to anticipate the future behavior of a business  Understanding the true size of a business in multiple dimensions, including social influence beyond its balance sheet 13
  • 14. And this evolution includes leveraging new data assets and predictive insights INTELLECTUAL SOCIAL/INFLUENTIAL Twitter Facebook Fliptop/Leadspace Aggregators Patents Goodwill, Intangibles Future Inventions CORPORATE RESPONSIBILITY Green Ethical Recognition / Awards Charity / Social Responsibility Political FINANCIAL/ TRANSACTIONAL Spend Data Trade Data Public Records Shipment Data Labor market Data CONNECTIONS PHYSICAL INFRASTRUCTURE Corporate Linkage PitCoB Logistics Trade Groups Supply Chain & Distribution Property Real Estate Equipment 14
  • 15. Our new data innovations are radically enhancing our predictive power Untraditional Size ‘Proxies’ New Data Sources Proprietary Data Signals Enhancing Analytic Capabilities & Traditional Size Attributes Number of Employees Sales Revenue Closing Foundational Data Gaps 15
  • 16. New strategies exist for risk-reward tradeoffs with a multi-dimensional marketing score Influential Marketing Composite Score 3 SIZE Measurements trending over time Physical + SIZE 3 RISK Measurements 10 9 8 7 6 5 4 3 2 1 0 Financial RISK MCS Illustration = 1 POWERFUL Score Total Loss Viability Delinquency 16
  • 17. And new analytic capabilities the multi-dimensional Viability rating delivers a highly insightful and reliable assessment of a company‟s future viability PREDICTIVE DESCRIPTIVE 17
  • 18. Identifying unique drivers, root causes, and sensitivities that lead to specific types of outcomes is also critical Big disparate sources of data… …compiled, analyzed, and correlated with other signals/events over time… …create insights that anticipate changes in… …predictors, triggers, activities Risk Material Changes       Trending Measuring Counting events Counting sources Noting Order Other Marketing Other Adjacencies 18
  • 19. By leveraging signals, you have the ability to predict the likelihood a material change in a company‟s profile will occur in the next year Activity Signals Behavioral Trends Advanced Anticipatory Analytics Analytics Risk Profile Change Opportunity Profile Change Event Frequencies Changes in Traditional Data Sources 19
  • 20. Advanced analytics can identify businesses that are poised for growth, and anticipate customers‟ progression across the business lifecycle Foresight into future needs enables you to take the best action at the best time Going Global Act Now Engage Here Adult Indication a major business transition lies ahead Going Public High probability of growth in near future Emerging Adult Growing Physically and Financially Pupa Starting up Molting Larva Egg Caterpillar Businesses can be thought to have stages of ‘size’, like caterpillars growing into butterflies 20
  • 21. But in order to be successful we must systematically tackle the needs of our customers I see you & know you I can predict your future behavior 10M 5M 1M 400K 90K Foundational The full commercial opportunity D&B Full Universe, Identify Resolution, Linkage Firmographic Prospects that „look‟ like best customers SIC, Employee, MultipleDimensional Size, Geo, Predictive Insight (Proxies) Strategic And have right risk-reward balance Marketing Composite Score Strategic And have greatest estimated spend potential Custom Expenditure Model Strategic And have greatest potential for future growth Material Change Strategic And are most likely to engage you Custom Response Model Advanced And most likely to engage via specific channel, at specific time, with specific offer Customer Management Actions - Lead Management Actions 60K 50K 21
  • 22. The winning hand is to incorporate science into workflows in a systematic way…. Integrate assets including Transactional Data Establish complete and intimate knowledge of customers and prospects Transform insights into action Virtuous Cycle Teach & Learn Develop foundational knowledge Inform Focus on Creating an Informed Perspective for Customers 22
  • 23. So we have developed a roadmap focused on a systematic approach to providing customers the insight they need Provide Complete Transparency on Business Relationship: • Globally consistent data • Complete and actionable view Provide Foresight To Execute Proactive Actions • Advanced analytics • Consultative support 23
  • 24. 30 years into my journey the speed of technological change is still hard to comprehend In 1995 there were 16 million internet users daily 24
  • 25. Or predict what is next…. In 2013 there are 2.5 billion internet users daily – enabled by 1.5 billion smart phones (introduced in 2005!) 25
  • 26. The real goal is to have a complete, intimate, consistent and actionable view of customers and prospects I Know You I Can Predict Your Future Behavior, and Take Action I See You ROBUST / PREDICTIVE DECISION SUPPORT BASIC INFORMATION As information matures, the ability to use it to drive different business activity evolves 26
  • 27. We must embrace information that is rich, varied, and full of opportunity and shift our focus from “hunting and gathering” to new opportunities beyond just “Big Data” Data sensing at the “Event Horizon” 27
  • 28. The future belongs to informed. Follow the conversation at: @dnbUS @PaulBDnB Visit us at: www.dnb.com 28