Q2 2016 investor presentation 5 6 2016 final
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Transcript of Q2 2016 investor presentation 5 6 2016 final
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.
INTEGRATED DISCOVERY PLATFORM
INTEGRATED DATA WAREHOUSE
DATA
PLATFORM
UNIFIED DATA ARCHITECTURE
Marketing
Executives
Operational
Systems
Frontline
Workers
Customers
Partners
Engineers
Data
Scientists
Business
AnalystsMath
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
4
Teradata Analytical Ecosystem
1000 series
2000 series
600 series
6000 series
2000 series
6000 series
5
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 20TB 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
6
Broadest, Most Flexible Hadoop Offerings in Market
Aster Big Analytics Appliance
Appliance for HadoopCommodity Offering
with DellSoftware 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
SegmentBusiness 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
7
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)
SchemaSophistication
QueryFreedom
QueryComplexity
QueryConcurrency
MixedWorkload
Query Data Volume
DataFreshness
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
8
Hybrid Cloud: Same Software, Many Options
Performance
Flexibility
Teradata Workload-Specific Platform Family
Teradata Cloud
Teradata Database on …
On-Premises Managed Cloud Public Cloud
9
36% 37%41% 43%
47%
2011 2012 2013 2014 2015
Revenue Mix
Approximate percentages of product and consulting services revenue by industry
Industry Vertical 2007 2008 2009 2010 2011 2012 2013 2014 2015
Financial Services 24% 29% 28% 28% 28% 30% 31% 31% 30%
Communications 28% 28% 23% 24% 24% 21% 19% 19% 19%
Retail 19% 16% 17% 16% 16% 16% 14% 14% 14%
Manufacturing 9% 11% 10% 13% 12% 12% 13% 13% 14%
Healthcare 5% 4% 8% 6% 7% 7% 8% 6% 10%
Travel &
Transportation6% 6% 6% 6% 5% 6% 6% 7% 5%
Government 7% 5% 7% 7% 6% 6% 6% 7% 5%
Other 2% 1% <1% <1% 2% 2% 3% 3% 3%
Revenue by Type($ in millions)
2015%
of Total
Products (SW / HW) $1,057 42%
Consulting Services 780 31%
Maintenance Services 693 27%
Total Revenue $2,530
Recurring Revenue (as a % of total revenue)
10
Balance Sheet / Cash Flow / Share Repurchase Activity
Balance Sheet($ in millions)
2007 2008 2009 2010 2011 2012 2013 2014 2015 3/31/2016
Cash and Cash Equivalents $270 $402 $661 $883 $772 $729 $695 $834 $839 $917
Working Capital $301 $475 $609 $837 $717 $728 $787 $577 $887 $709
Total Assets $1,294 $1,430 $1,569 $1,883 $2,616 $3,066 $3,096 $3,132 $2,632 $2,464
Debt 0 0 0 0 $301 $289 $274 $468 $780 $670
Total Deferred Revenue $246 $283 $280 $290 $363 $405 $415 $388 $382 $521
Total Shareholders’ Equity $631 $777 $910 $1,189 $1,494 $1,779 $1,857 $1,707 $939 $794
Cash Flow($ in millions)
2007 2008 2009 2010 2011 2012 2013 2014 2015 3/31/2016
Cash from Operations $387 $440 $455 $413 $513 $575 $510 $680 $401 $251
Free Cash Flow $292 $369 $367 $330 $403 $427 $372 $551 $281 $225
Share Repurchases($ in millions)
2007 2008 2009 2010 2011 2012 2013 2014 2015 3/31/2016
- $176 $175 $87 $127 $281 $378 $560 $647 $47