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Q2 2016 investor presentation 5 6 2016 final
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- 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. INTEGRATED DISCOVERY PLATFORM INTEGRATEDDATA 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
- 4. 4 Teradata Analytical Ecosystem 1000series 2000 series 600 series 6000 series 2000 series 6000 series
- 5. 5 Teradata Workload-Specific Platforms DataMart 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. 6 Broadest, Most FlexibleHadoop 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
- 7. 7 Teradata’s Industry-Leading Technology TechnologyDemands • 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
- 8. 8 Hybrid Cloud: SameSoftware, Many Options Performance Flexibility Teradata Workload- Specific Platform Family Teradata Cloud Teradata Database on … On-Premises Managed Cloud Public Cloud
- 9. 9 36% 37% 41% 43% 47% 20112012 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 & Transportation 6% 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 $2,530 Recurring Revenue (as a % of total revenue)
- 10. 10 Balance Sheet /Cash Flow / Share Repurchase Activity Balance Sheet ($ 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