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Teradata Q3 2015 Earnings Report

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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. 2


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Teradata Today Aligned for Accelerating Growth Three Large Markets Two Streamlined Divisions Data Warehouse Big Data Analytics Data & Analytics Division Marketing Applications Division Marketing Applications Best-in-Class Consulting & Support Services Everything Available On-Premises and/or Cloud 3 Shared Services: Corp. Marketing, IT, Operations


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Gartner & Forrester – Teradata Leads In Analytics Gartner Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics February 2015 4 The Forrester Wave™: Enterprise Data Warehousing Platforms, Q4 2013


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UNIFIED DATA ARCHITECTURE ERP REAL TIME PROCESSING Marketing Marketing Executives SCM INTEGRATED DATA WAREHOUSE Applications Operational Systems CRM Images DATA PLATFORM Business Intelligence TERADATA DATABASE Web and Social Machine Logs Text Audio and Video INTEGRATED BIG DATA PLATFORM Data Mining Math and Stats Customers Partners Knowledge Frontline Workers Business Analysts INTEGRATED DISCOVERY PLATFORM TERADATA PORTFOLIO FOR HADOOP Languages Data Scientists Engineers TERADATA ASTER DATABASE Search USERS SOURCES ANALYTIC TOOLS & APPS


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Teradata Analytical Ecosystem 2000 series 1000 series 6000 series 500 series 2000 series 6000 series 6


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Teradata Workload-Specific Platforms Data Mart Appliance Workloads 7 Data Warehouse Appliance Active Enterprise Data Warehouse 600 Series Scale Extreme Data Appliance 1000 Series 2000 Series 6000 Series Up to 8TB Up to 186PB Up to 1.6PB Analytical Archive, Deep Dive Analytics Strategic Intelligence, Decision Support System, Fast Scan Test / Development or Smaller Data Marts Appliance for Hadoop Aster Big Analytics Appliance Up to 61PB Up to 10PB Up to 5PB 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 Overview Appliance for Hadoop Commodity Offering with Dell Software Only Premier Premier Commodity Commodity Big data analytics in an integrated package Enterprise-ready Hadoop with single vendor support Pre-designed, costeffective commodity hardware with Teradata software support Flexible hardware options with Teradata software support  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 Value Proposition Value Add Segment Business Value Based IT Value Based IT Cost-Based IT Engineering IT “Buy it” “Buy it” “Buy it, Build it” “Build it” 100% Open Source, Community-Driven Enterprise Apache Hadoop 8


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Teradata’s Data Warehouse Evolution/Vision ACTIVATING MAKE it happen! Stage 4 Stage 3 Stage 2 Stage 1 Workload Sophistication Stage 5 OPERATIONALIZING WHAT IS happening now? PREDICTING WHAT WILL happen? ANALYZING WHY did it happen? REPORTING WHAT happened? Event-based triggering takes hold Continuous update and time-sensitive queries become important Analytical modeling grows Increase in ad hoc analysis Primarily batch and some ad hoc reports Scalability 9


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Teradata’s Industry-Leading Technology Scalability Across Multiple Dimensions Data Volume (Raw, User Data) Technology Demands • Extreme scalability Mixed Workload Query Concurrency • Extreme performance • Extreme availability • Extreme data load and access Mission critical 7x24 Data Freshness Query Complexity Query Freedom Schema Sophistication Query Data Volume Teradata can scale simultaneously across multiple dimensions. Driven by business! 10 Competition scales one dimension at the expense of others. Limited by technology!


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Teradata Cloud As a Service….. Data Management DATA PLATFORM Easy Scale-up 11 © 2014 Teradata Data Warehouse INTEGRATED DATA WAREHOUSE Secure & Reliable High Performance Discovery DISCOVERY PLATFORM Workload Management


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Marketing Marketing Cloud – Solutions Teradata Integrated Applications MARKETING RESOURCE MANAGEMENT OMNI-CHANNEL MARKETING DIGITAL MARKETING MARKETING PLANS INBOUND & OUTBOUND COMMUNICATIONS EMAIL MARKETING SPEND MANAGEMENT REAL-TIME DECISIONING MOBILE MARKETING WORKFLOW & COLLABORATION DIGITAL DELIVERY SOCIAL MARKETING ASSET MANAGEMENT OPTIMIZATION WEB MARKETING OFFER MANAGEMENT ACTIONABLE ANALYTICS DIGITAL ANALYTICS MARKETING ANALYTICS 12 BUSINESS INTELLIGENCE BIG DATA ANALYTICS PREDICTIVE ANALYTICS


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Revenue Mix Industry Vertical 2007 2008 2009 2010 2011 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% Approximate percentages of product and consulting services revenue by industry 6% 6% 6% 7% Other 2% 2% 3% 3% 2% Revenue by Type ($ in millions) 1% 2014 <1% $1,227 817 30% Maintenance Services 688 2014 45% Consulting Services 2013 Operating Segments % of Total Products (SW / HW) 25% Total Revenue $2,732 40% + of Teradata’s revenue is from recurring revenue sources. 13 <1% 2012 Marketing Applications 8% of total revenue Data & Analytics 92% of total revenue


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Strong Balance Sheet & Cash Flow Balance Sheet 2007 2008 2009 2010 2011 2012 2013 2014 6/30/2015 ($ in millions) Cash and Cash Equivalents $270 $402 $661 $883 $772 $729 $695 $834 $921 Working Capital $301 $475 $609 $837 $717 $728 $787 $577 $820 $1,294 $1,430 $1,569 $1,883 $2,616 $3,066 $3,096 $3,132 $2,735 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 $1,186 Total Assets Debt Cash Flow 2007 2008 2009 2010 2011 2012 2013 2014 ($ in millions) 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 14


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