Date post: | 16-Aug-2015 |
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Investor Relations |
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Investor Presentation Third Quarter 2015
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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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Two Streamlined Divisions Three 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
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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
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 PROCESSING ERP
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
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?
Wo
rklo
ad
So
ph
istic
atio
n
Scalability
Stage 1
Stage 2
Stage 3
Stage 4
Stage 5
Teradata’s Data Warehouse Evolution/Vision
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 © 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
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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
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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
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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)