INVESTOR PRESENTATION. Third Quarter 2014

Transcription

1 INVESTOR PRESENTATION Third Quarter 2014

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 8/7/2014 Teradata Confidential

3 Unified Data Architecture Any User, Any Data, Any Analysis Engineers Data Scientists Quants Business Analysts Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc. Aster MapReduce Portfolio Discovery Platform SQL-H Teradata Analytics Portfolio Integrated Data Warehouse Capture, Store, Refine Audio/ Video Images Text Web & Social Machine Logs CRM SCM ERP 3 8/7/2014 Teradata Confidential

4 Teradata Analytical Ecosystem 2000 series 1000 series 6000 series 500 series 2000 series 6000 series 4 8/7/2014 Teradata Confidential

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 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 5 8/7/2014 Teradata Confidential

6 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 6 8/7/2014 Teradata Confidential

7 Teradata s Data Warehouse Evolution/Vision ACTIVATING MAKE it happen! Stage 5 Stage 4 Stage 3 Stage 2 Stage 1 Workload Sophistication REPORTING WHAT happened? Primarily batch and some ad hoc reports ANALYZING WHY did it happen? Increase in ad hoc analysis 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 7 8/7/2014 Teradata Confidential Scalability

8 Teradata s Industry-Leading Technology Scalability Across Multiple Dimensions Technology Demands Extreme scalability Extreme performance Extreme availability Extreme data load and access Data Freshness Mixed Workload Query Freedom Data Volume (Raw, User Data) 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! 8 8/7/2014 Teradata Confidential

9 Teradata The Data Warehouse Leader Gartner Magic Quadrant for Data Warehouse Database Management Systems Magic Quadrant for Data Warehouse Database Management Systems Mark Beyer, Roxanne Edjlali 3/7/14 The Magic Quadrant is copyrighted March 2014 by Gartner, Inc. and is reused with permission. The Magic Quadrant is a graphical representation of a marketplace at and for a specific time period. It depicts Gartner's analysis of how certain vendors measure against criteria for that marketplace, as defined by Gartner. Gartner does not endorse any vendor, product or service depicted in the Magic Quadrant, and does not advise technology users to select only those vendors placed in the "Leaders" quadrant. The Magic Quadrant is intended solely as a research tool, and is not meant to be a specific guide to action. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 9 8/7/2014 Teradata Confidential

10 The Forrester Wave TM Enterprise Data Warehouse Q The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester s call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. 10 8/7/2014 Teradata Confidential

11 Teradata Applications: An Integrated Marketing Management Solution Strategic Insight and Marketing Processes Seamless Customer Engagement Source Data Multi-Channel Campaign Management Channels Customers Product/ SKU Teradata Customer Data Warehouse Campaign Design Campaign Automation Leads Marketing Operations Web Call Center Partner Inventory Sales/ POS/ Franchise Customer-centric Data Management Assets Workflow & Rules Plan Spend Marketing Assets ATM/ Kiosk Sales Supplier Aster Data Marketing Analytics Social Media Promotional/ Loyalty Data Teradata Aster Mining Modeling Reporting Trending Profiling Segmenting Mobile Consumer Big Data 11 8/7/2014 Teradata Confidential Copyright 2011 by Teradata Corporation

12 Teradata positioned as Leader Gartner 2014 MRM Magic Quadrant Magic Quadrant for MRM MQ, Kim Collins, 2/4/14 This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Teradata. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose 12 8/7/2014 Teradata Confidential

13 Revenue by Industry 2013 * Travel/Trans. 5% Other 2% Energy & Util. 1% Financial 31% Financial Services 24% 29% 28% 28% 28% 30% 31% Communications 28% 28% 23% 24% 24% 21% 19% Gov't. 6% Retail 19% 16% 17% 16% 16% 16% 14% Healthcare 8% Manuf. 13% Retail 14% Comms. 19% Manufacturing 9% 11% 10% 13% 12% 12% 13% Healthcare 5% 4% 8% 6% 7% 7% 8% Travel & Transportation 6% 6% 6% 6% 5% 6% 6% Government 7% 5% 7% 7% 6% 6% 6% Other 2% 1% <1% <1% 2% 2% 3% 95% 71% Industry Penetration+ Global Fortune 500 Global 3000 * Approximate percentages of product and consulting services revenue by industry. 57% 52% 50% 46% 39% 15% 16% 26% 23% 16% 24% + Percentage of companies within each industry vertical that have begun investing in Teradata. 7% 8% 4% Telecom Trav/Trans Media/Ent. Healthcare Retail Fin/Ins Manuf Energy & Utilities 13 8/7/2014 Teradata Confidential

14 Operating Performance Revenue $ in millions 2,665 2,692 Operating Income $ in millions 580 2, , ,762 1,702 1, ,349 1,467 1, ,217 1, (1)% 12% 9% 5% 10% 4% (3)% 13% 22% 13% 1% Operating Income 14 8/7/2014 Teradata Confidential

15 Revenue Mix & Operating Segments Revenue Mix 2013 % of Total Operating Segments Products (SW/HW) $1,230M 46% Consulting Services 818M 30% Maintenance Services 644M 24% Americas 61% of total revenue Gross margin 58% Total Revenue $2,692M Approximately 40% of Teradata s revenue is from recurring revenue sources. International 39% of total revenue Gross margin 50% 15 8/7/2014 Teradata Confidential

16 Strong Balance Sheet & Cash Flow Balance Sheet ($ in millions) Dec Dec Dec Dec Dec Dec Dec June Cash and Cash Equivalents Working Capital Total Assets 1,294 1,430 1,569 1,883 2,616 3,066 3,096 3,136 Total Debt (ST + LT) Total Deferred Revenue Total Shareholders Equity ,189 1,494 1,779 1,857 1,862 Cash Flow ($ in millions) Net Income Cash from Operating Income Free Cash Flow /7/2014 Teradata Confidential