INVESTOR PRESENTATION. First Quarter 2014

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Transcription:

INVESTOR PRESENTATION First Quarter 2014

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 3/18/2014 Teradata Confidential

Information Technology Landscape Operational Systems Help Run the Business Operational/ Transactional Systems Oracle, SAP Analytic Systems Drive Business Decisions Business Intelligence/ Analytical Applications Oracle, SAP, SAS, Business Objects, Cognos, Microsoft, Teradata Transactional Databases Oracle, IBM, Microsoft, PostgreSQL Enterprise Application Integration IBM, BEA, TIBCO, Oracle, SAP Data Acquisition & Integration Informatica, IBM, Oracle Data Warehouse Databases Oracle, Microsoft, IBM, Netezza Teradata Servers, Storage... Servers, Storage... 3 3/18/2014 Teradata Confidential

The Problem The Solution OPERATIONAL SYSTEMS DECISION MAKERS OPERATIONAL SYSTEMS DECISION MAKERS Integrated Data Warehouse (IDW) Proliferation of data marts has resulted in fragmented data, higher costs, poor decisions Integrated data provides data consistency, lower costs, better decisions 4 3/18/2014 Teradata Confidential

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 5 3/18/2014 Teradata Confidential

Teradata Analytical Ecosystem 2000 series 1000 series 6000 series 500 series 2000 series 6000 series 6 3/18/2014 Teradata Confidential

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 3/18/2014 Teradata Confidential

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 3/18/2014 Teradata Confidential

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 9 3/18/2014 Teradata Confidential Scalability

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! 10 3/18/2014 Teradata Confidential

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. 11 3/18/2014 Teradata Confidential

The Forrester Wave TM Enterprise Data Warehouse Q4 2013 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. 12 3/18/2014 Teradata Confidential

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 Email Sales Supplier Aster Data Marketing Analytics Social Media Promotional/ Loyalty Data Teradata Aster Mining Modeling Reporting Trending Profiling Segmenting Mobile Consumer Big Data 13 3/18/2014 Teradata Confidential Copyright 2011 by Teradata Corporation

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 14 3/18/2014 Teradata Confidential

Revenue by Industry Travel/Trans. 5% Other 2% 2013 * Energy & Util. 1% Financial 31% Financial Services 2007 2008 2009 2010 2011 2012 2013 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% Manufacturing 9% 11% 10% 13% 12% 12% 13% Healthcare 8% Manuf. 13% Retail 14% Comms. 19% 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. 39% 57% 15% 16% 52% 26% 50% 23% 46% 16% 24% 7% 8% 4% + Percentage of companies within each industry vertical that have begun investing in Teradata. Telecom Trav/Trans Media/Ent. Healthcare Retail Fin/Ins Manuf Energy & Utilities 15 3/18/2014 Teradata Confidential

Operating Performance Revenue $ in millions 2,665 2,692 Operating Income $ in millions 580 2,362 532 456 1,936 415 1,762 1,702 1,709 284 302 320 333 338 1,349 1,467 1,547 199 1,217 1,203 96 124 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 (1)% 12% 9% 5% 10% 4% (3)% 13% 22% 13% 1% 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Operating Income 16 3/18/2014 Teradata Confidential

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% Total Revenue $2,692M Approximately 40% of Teradata s revenue is from recurring revenue sources. Americas 61% of total revenue Gross margin 58% International 39% of total revenue Gross margin 50% 17 3/18/2014 Teradata Confidential

Strong Balance Sheet & Cash Flow Balance Sheet ($ in millions) Dec. 30 2007 Dec. 30 2008 Dec. 30 2009 Dec. 31 2010 Dec. 31 2011 Dec. 31 2012 Dec. 31 2013 Cash & Short-Term Investments 270 729 661 883 772 729 695 Working Capital 301 728 609 837 717 728 787 Total Assets 1,294 3,066 1,569 1,883 2,616 3,066 3,096 Debt 0 289 0 0 300 289 278 Total Deferred Revenue 246 405 256 263 363 405 415 Total Shareholders Equity 631 1,779 910 1,189 1,494 1,779 1,857 Cash Flow ($ in millions) 2007 2008 2009 2010 2011 2012 2013 Net Income 200 250 254 353 353 419 377 Cash from Operating Income 387 440 455 513 513 575 510 Free Cash Flow 292 369 367 403 403 427 372 18 3/18/2014 Teradata Confidential