This document is Teradata's second quarter 2014 investor presentation. It includes the following key points: - Non-GAAP financial information and forward-looking statements are discussed with relevant disclosures. - Teradata offers a unified data architecture and analytical ecosystem supporting various workloads and data types across its portfolio of workload-specific platforms. - Teradata has the broadest and most flexible Hadoop offerings in the market to support customers' evolving analytics needs from reporting to predicting. - Teradata is positioned as a leader in the data warehousing and marketing analytics spaces based on independent analyst reports.

1. Second Quarter 2014
INVESTOR PRESENTATION

2. 2 5/14/2014 Teradata Confidential
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.

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Unified Data Architecture
• Any User, Any Data, Any Analysis
Audio/
Video
Images Text
Web &
Social
Machine
Logs
CRM SCM ERP
Engineers Business AnalystsQuantsData Scientists
Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.
Discovery Platform Integrated Data
Warehouse
Aster MapReduce Portfolio Teradata Analytics Portfolio
Capture, Store, Refine
SQL-H

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

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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

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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

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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

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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

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Teradata – The Data Warehouse Leader
The Magic Quadrant is copyrighted March 2014 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time
period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service
depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research
tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or
fitness for a particular purpose.
Gartner Magic Quadrant for Data Warehouse Database
Management Systems
Magic Quadrant for Data Warehouse
Database Management Systems
Mark Beyer, Roxanne Edjlali 3/7/14

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The Forrester Wave TM
Enterprise Data Warehouse Q4 2013
The Forrester Wave ™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave ™ are trademarks of Forrester Research, Inc. The Forrester Wave ™ is a graphical
representation of Forrester’s call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.

11. 11 5/14/2014 Teradata Confidential
Copyright © 2011 by Teradata Corporation
Marketing Operations
Workflow
& Rules
Plan
Spend
Marketing
Assets
Source Data
Product/
SKU
Inventory
Sales/
POS/
Franchise
Supplier
Promotional/
Loyalty Data
Strategic Insight and
Marketing Processes
Seamless Customer
Engagement
Call
Center
ATM/
Kiosk
Email
Mobile
Channels Customers
Sales
Consumer
Partner
Social
Media
Web
Campaign
Design
Multi-Channel
Campaign Management
Leads
Campaign
Automation
Teradata
Customer
Data
Warehouse
Aster Data Marketing Analytics
Mining
Modeling
Reporting
Trending
Profiling
Segmenting
Teradata
Aster
Customer-centric
Data Management
Assets
Big Data
Teradata Applications: An Integrated
Marketing Management Solution

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Teradata positioned as Leader
Gartner 2014 MRM Magic Quadrant
Magic Quadrant for MRM MQ,
Kim Collins, 2/4/14
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available
upon request from Teradata. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those
vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner
disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose

13. 13 5/14/2014 Teradata Confidential
95%
71%
57%
52% 50%
46%
24%
8%
39%
15% 16%
26%
23%
16%
7%
4%
Telecom Trav/Trans Media/Ent. Healthcare Retail Fin/Ins Manuf Energy &
Utilities
Revenue by Industry
Industry Penetration+
Financial
31%
Comms.
19%
Retail
14%
Manuf.
13%
Healthcare
8%
Gov't.
6%
Travel/Trans.
5%
Other
2%
Energy & Util.
1%
2013*
* Approximate percentages of product and consulting services revenue by industry.
Global Fortune 500 Global 3000
2007 2008 2009 2010 2011 2012 2013
Financial
Services
24% 29% 28% 28% 28% 30% 31%
Communications 28% 28% 23% 24% 24% 21% 19%
Retail 19% 16% 17% 16% 16% 16% 14%
Manufacturing 9% 11% 10% 13% 12% 12% 13%
Healthcare 5% 4% 8% 6% 7% 7% 8%
Travel &
Transportation
6% 6% 6% 6% 5% 6% 6%
Government 7% 5% 7% 7% 6% 6% 6%
Other 2% 1% <1% <1% 2% 2% 3%
+ Percentage of companies
within each industry
vertical that have begun
investing in Teradata.

14. 14 5/14/2014 Teradata Confidential
96
124
199
284
302
320
333 338
415
456
580
532
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Operating Performance
1,217 1,203
1,349
1,467
1,547
1,702
1,762
1,709
1,936
2,362
2,665
2,692
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
$ in millions
(1)% 12% 9% 5% 10% 4% (3)% 13% 22% 13% 1%
Revenue
Operating Income
Operating Income
$ in millions

15. 15 5/14/2014 Teradata Confidential
Revenue Mix & Operating Segments
Revenue Mix 2013
% of
Total
Products (SW/HW) $1,230M 46%
Consulting Services 818M 30%
Maintenance Services 644M 24%
Total Revenue $2,692M
Approximately 40% of Teradata’s
revenue is from recurring
revenue sources.
Americas
61% of total revenue
Gross margin 58%
International
39% of total revenue
Gross margin 50%
Operating Segments

16. 16 5/14/2014 Teradata Confidential
Strong Balance Sheet & Cash Flow
Balance Sheet
($ in millions)
Dec. 31
2007
Dec. 31
2008
Dec. 31
2009
Dec. 31
2010
Dec. 31
2011
Dec. 31
2012
Dec. 31
2013
Mar. 31
2014
Cash & Short-Term
Investments 220 442 661 883 772 729 695 922
Working Capital 301 475 609 837 717 728 787 777
Total Assets 1,294 1,430 1,569 1,883 2,616 3,066 3,096 3,178
Debt 0 0 0 0 300 289 278 270
Total Deferred Revenue 246 255 256 263 363 405 415 523
Total Shareholders’ Equity 631 777 910 1,189 1,494 1,779 1,857 1,849
Cash Flow
($ in millions)
2007 2008 2009 2010 2011 2012 2013
Net Income 200 250 254 353 353 419 377
Cash from Operating
Income 387 440 455 513 513 575 510
Free Cash Flow 292 369 367 403 403 427 372