Investor Presentation. Second Quarter 2015

Transcription

1 Investor Presentation Second Quarter 2015

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 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

3 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 Shared Services: Corp. Marketing, IT, Operations 3

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

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

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

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 7

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, costeffective 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 8

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

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

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

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

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

14 Strong Balance Sheet & Cash Flow Balance Sheet /31/2015 ($ in millions) Cash and Cash Equivalents $270 $402 $661 $883 $772 $729 $695 $834 $881 Working Capital $301 $475 $609 $837 $717 $728 $787 $577 $741 Total Assets $1,294 $1,430 $1,569 $1,883 $2,616 $3,066 $3,096 $3,132 $3,103 Debt $301 $289 $274 $468 $600 Total Deferred Revenue $246 $283 $280 $290 $363 $405 $415 $388 $508 Total Shareholders Equity $631 $777 $910 $1,189 $1,494 $1,779 $1,857 $1,707 $1,444 Cash Flow ($ 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