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Q3 2015 investor presentation

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Q3 2015 investor presentation

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Q3 2015 investor presentation

  1. 1. ​Investor Presentation ​Third Quarter 2015
  2. 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. 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. 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. 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. 6 Teradata Analytical Ecosystem 1000 series 2000 series 500 series 6000 series 2000 series 6000 series
  7. 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. 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. 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. 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. 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. 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. 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. 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)

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