Q3 2015 investor presentation

1. ​Investor Presentation
​Third Quarter 2015

2. 2
Note to Investors
• Certain non-GAAP financial information regarding operating results may
be discussed during this presentation. Reconciliations of the differences
between GAAP and non-GAAP measures are available on the Investor
page at www.teradata.com/investor.
• Remarks and responses associated with this presentation include
forward-looking statements that are based on current expectations and
assumptions. These forward-looking statements are subject to a number
of risks and uncertainties that could affect our future results and could
cause actual results to differ materially from those expressed in such
forward-looking statements.
• These risks and uncertainties are detailed in Teradata’s Registration
Statement on Form 10 and in our SEC reports, including, but not limited
to, our periodic and current reports on Forms 10-K, 10-Q, and 8K, as well
as the company’s annual report to shareholders.

3. 3
Two Streamlined DivisionsThree Large Markets
Teradata Today
Aligned for Accelerating Growth
Data Warehouse
Big Data Analytics
Marketing
Applications
Data &
Analytics
Division
Marketing
Applications
Division
Shared Services:
Corp. Marketing, IT, Operations
Best-in-Class Consulting & Support Services
Everything Available On-Premises and/or Cloud

4. 4
Gartner & Forrester – Teradata Leads In Analytics
The Forrester Wave™:
Enterprise Data
Warehousing Platforms,
Q4 2013
Gartner Magic Quadrant
for Data Warehouse and
Data Management
Solutions for Analytics
February 2015

5. INTEGRATED DISCOVERY PLATFORM
INTEGRATED DATA WAREHOUSE
DATA
PLATFORM
UNIFIED DATA ARCHITECTURE
Marketing
Executives
Operational
Systems
Frontline
Workers
Customers
Partners
Engineers
Data
Scientists
Business
Analysts
Math
and Stats
Data
Mining
Business
Intelligence
Applications
Languages
Marketing
USERS
ANALYTIC TOOLS &
APPS
Search
TERADATA ASTER DATABASE
TERADATA DATABASE
INTEGRATED
BIG DATA PLATFORM
TERADATA
PORTFOLIO FOR
HADOOP
REAL TIME PROCESSINGERP
SCM
CRM
Images
Audio
and Video
Machine
Logs
Text
Web and
Social
SOURCES
Marketing
Executives
Operational
Systems
Knowledge
Workers
Customers
Partners
Engineers
Data
Scientists
Business
Analysts
USERS

6. 6
Teradata Analytical Ecosystem
1000 series
2000 series
500 series
6000 series
2000 series
6000 series

7. 7
Teradata Workload-Specific Platforms
Data Mart
Appliance
Extreme Data
Appliance
Data
Warehouse
Appliance
Active
Enterprise
Data
Warehouse
Appliance
for Hadoop
Aster Big
Analytics
Appliance
600 Series 1000 Series 2000 Series 6000 Series
Scale Up to 8TB Up to 186PB Up to 1.6PB Up to 61PB Up to 10PB Up to 5PB
Workloads
Test /
Development
or Smaller
Data Marts
Analytical
Archive,
Deep Dive
Analytics
Strategic
Intelligence,
Decision
Support System,
Fast Scan
Strategic &
Operational
Intelligence,
Real Time
Update, Active
workloads
Appliance for
Storing, Capturing
and Refining Data.
Hortonworks HDP
1.1
Discovery Platform
for Big Data
Analytics with
embedded SQL
MapReduce for
new data types &
sources

8. 8
Broadest, Most Flexible Hadoop Offerings in Market
Aster Big Analytics
Appliance
Appliance for Hadoop
Commodity Offering
with Dell
Software Only
Overview Premier Premier Commodity Commodity
Value Proposition
Big data analytics in an
integrated package
Enterprise-ready Hadoop
with single vendor support
Pre-designed, cost-
effective commodity
hardware with Teradata
software support
Flexible hardware
options with Teradata
software support
Value Add
 Single best analytics &
discovery platform
 SQL-MapReduce & 70+
analytics
 Integrated
hardware/software
 Software to simplify
operation of Hadoop
 Integrated
hardware/software that is
engineered, staged, &
delivered complete.
 Data staging & refining
 Software to simplify
operation of Hadoop
 Hardware staged,
delivered by Dell
 Teradata software
install & support
 Teradata software
install & support
Segment
Business Value Based IT
“Buy it”
Value Based IT
“Buy it”
Cost-Based IT
“Buy it, Build it”
Engineering IT
“Build it”
100% Open Source, Community-Driven Enterprise Apache Hadoop

9. 9
Continuous update
and time-sensitive
queries become
important
OPERATIONALIZING
WHAT IS
happening now?
Event-based
triggering takes
hold
ACTIVATING
MAKE it happen!
Primarily batch and
some ad hoc
reports
Increase in
ad hoc analysis
ANALYZING
WHY
did it happen?
REPORTING
WHAT
happened?
Analytical
modeling
grows
PREDICTING
WHAT WILL
happen?
WorkloadSophistication
Scalability
Stage 1
Stage 2
Stage 3
Stage 4
Stage 5
Teradata’s Data Warehouse Evolution/Vision

10. 10
Teradata’s Industry-Leading Technology
Technology Demands
• Extreme scalability
• Extreme performance
• Extreme availability
• Extreme data load and
access
Scalability Across Multiple Dimensions
Data Volume
(Raw, User Data)
Schema
Sophistication
Query
Freedom
Query
Complexity
Query
Concurrency
Mixed
Workload
Query Data Volume
Data
Freshness
Teradata can scale
simultaneously across
multiple dimensions.
Driven by business!
Competition scales one
dimension at the expense of
others.
Limited by technology!
Mission critical 7x24

11. 11 © 2014 Teradata
Teradata Cloud
As a Service…..
Easy
Scale-up
Secure
&
Reliable
High
Performance
Workload
Management
Data
Warehouse Discovery
Data
Management
INTEGRATED DATA
WAREHOUSE
DATA
PLATFORM
DISCOVERY
PLATFORM

12. 12
Teradata Integrated Marketing Cloud – Solutions
MARKETING PLANS
SPEND MANAGEMENT
WORKFLOW & COLLABORATION
ASSET MANAGEMENT
OFFER MANAGEMENT
MARKETING RESOURCE
MANAGEMENT
INBOUND & OUTBOUND
COMMUNICATIONS
REAL-TIME DECISIONING
DIGITAL DELIVERY
OPTIMIZATION
ACTIONABLE
ANALYTICS
OMNI-CHANNEL
MARKETING
EMAIL MARKETING
MOBILE MARKETING
SOCIAL MARKETING
WEB MARKETING
DIGITAL ANALYTICS
DIGITAL
MARKETING
MARKETING
ANALYTICS
BUSINESS INTELLIGENCE BIG DATA ANALYTICS PREDICTIVE ANALYTICS
Teradata Marketing Applications

13. 13
Revenue Mix
Approximate percentages of product and consulting services revenue by industry
Financial Services 24% 29% 28% 28% 28% 30% 31% 31%
Communications 28% 28% 23% 24% 24% 21% 19% 19%
Retail 19% 16% 17% 16% 16% 16% 14% 14%
Manufacturing 9% 11% 10% 13% 12% 12% 13% 13%
Healthcare 5% 4% 8% 6% 7% 7% 8% 6%
Travel &
Transportation
6% 6% 6% 6% 5% 6% 6% 7%
Government 7% 5% 7% 7% 6% 6% 6% 7%
Other 2% 1% <1% <1% 2% 2% 3% 3%
Operating Segments
Marketing
Applications
8% of total
revenue
40% + of Teradata’s revenue is from
recurring revenue sources.
Data &
Analytics
92% of total
revenue
Products (SW / HW) $1,227 45%
Consulting Services 817 30%
Maintenance Services 688 25%
Total Revenue $2,732
Revenue by Type
($ in millions) 2014 % of Total
Industry Vertical 2007 2008 2009 2010 2011 2012 2013 2014

14. 14
Strong Balance Sheet & Cash Flow
Cash and Cash
Equivalents $270 $402 $661 $883 $772 $729 $695 $834 $921
Working Capital $301 $475 $609 $837 $717 $728 $787 $577 $820
Total Assets $1,294 $1,430 $1,569 $1,883 $2,616 $3,066 $3,096 $3,132 $2,735
Debt 0 0 0 0 $301 $289 $274 $468 $600
Total Deferred Revenue $246 $283 $280 $290 $363 $405 $415 $388 $461
Total Shareholders’ Equity $631 $777 $910 $1,189 $1,494 $1,779 $1,857 $1,707 $1,186
Net Income $200 $250 $254 $301 $353 $419 $377 $367
Cash from Operations $387 $440 $455 $413 $513 $575 $510 $680
Free Cash Flow $292 $369 $367 $330 $403 $427 $372 $551
Balance Sheet 2007 2008 2009 2010 2011 2012 2013 2014 6/30/2015
($ in millions)
Cash Flow 2007 2008 2009 2010 2011 2012 2013 2014
($ in millions)