16
Second Quarter 2014 INVESTOR PRESENTATION

Investor presentation q2 2014

Embed Size (px)

DESCRIPTION

 

Citation preview

Second Quarter 2014

INVESTOR PRESENTATION

2 5/14/2014 Teradata Confidential

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 5/14/2014 Teradata Confidential

Unified Data Architecture • Any User, Any Data, Any Analysis

Audio/ Video Images Text Web &

Social Machine

Logs CRM SCM ERP

Engineers Business Analysts Quants Data Scientists Java, C/C++, Pig, Python, R, SAS, SQL, Excel, BI, Visualization, etc.

Discovery Platform

Integrated Data Warehouse

Aster MapReduce Portfolio Teradata Analytics Portfolio

Capture, Store, Refine

SQL-H

4 5/14/2014 Teradata Confidential

Teradata Analytical Ecosystem

1000 series

2000 series 500 series

6000 series

2000 series

6000 series

5 5/14/2014 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

6 5/14/2014 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, 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

7 5/14/2014 Teradata Confidential

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?

Wor

kloa

d S

oph

isti

cati

on

Scalability

Stage 1

Stage 2

Stage 3

Stage 4

Stage 5

Teradata’s Data Warehouse Evolution/Vision

8 5/14/2014 Teradata Confidential

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

9 5/14/2014 Teradata Confidential

Teradata – The Data Warehouse Leader

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.

Gartner Magic Quadrant for Data Warehouse Database Management Systems

Magic Quadrant for Data Warehouse Database Management Systems Mark Beyer, Roxanne Edjlali 3/7/14

10 5/14/2014 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.

11 5/14/2014 Teradata Confidential

Copyright © 2011 by Teradata Corporation

Marketing Operations

Workflow & Rules

Plan Spend

Marketing Assets

Source Data

Product/ SKU

Inventory

Sales/ POS/

Franchise

Supplier

Promotional/ Loyalty Data

Strategic Insight and Marketing Processes

Seamless Customer Engagement

Call Center

ATM/ Kiosk

Email

Mobile

Channels Customers

Sales

Consumer

Partner

Social Media

Web

Campaign Design

Multi-Channel Campaign Management

Leads Campaign Automation

Teradata Customer

Data Warehouse

Aster Data Marketing Analytics

Mining Modeling

Reporting Trending

Profiling Segmenting

Teradata

Aster

Customer-centric Data Management

Assets

Big Data

Teradata Applications: An Integrated Marketing Management Solution

12 5/14/2014 Teradata Confidential

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

13 5/14/2014 Teradata Confidential

95%

71%

57% 52% 50%

46%

24%

8%

39%

15% 16%

26% 23%

16%

7% 4%

Telecom Trav/Trans Media/Ent. Healthcare Retail Fin/Ins Manuf Energy &Utilities

Revenue by Industry

Industry Penetration+

Financial 31%

Comms. 19%

Retail 14%

Manuf. 13%

Healthcare 8%

Gov't. 6%

Travel/Trans. 5%

Other 2%

Energy & Util. 1%

2013*

* Approximate percentages of product and consulting services revenue by industry.

Global Fortune 500 Global 3000

2007 2008 2009 2010 2011 2012 2013

Financial Services 24% 29% 28% 28% 28% 30% 31%

Communications 28% 28% 23% 24% 24% 21% 19%

Retail 19% 16% 17% 16% 16% 16% 14%

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%

+ Percentage of companies within each industry

vertical that have begun investing in Teradata.

14 5/14/2014 Teradata Confidential

96

124

199

284 302

320 333 338

415

456

580

532

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Operating Performance

1,217 1,203

1,349

1,467

1,547

1,702 1,762

1,709

1,936

2,362

2,665 2,692

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

$ in millions

(1)% 12% 9% 5% 10% 4% (3)% 13% 22% 13% 1%

Revenue

Operating Income

Operating Income $ in millions

15 5/14/2014 Teradata Confidential

Revenue Mix & Operating Segments

Revenue Mix 2013 % of Total

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%

Operating Segments

16 5/14/2014 Teradata Confidential

Strong Balance Sheet & Cash Flow

Balance Sheet ($ in millions)

Dec. 31 2007

Dec. 31 2008

Dec. 31 2009

Dec. 31 2010

Dec. 31 2011

Dec. 31 2012

Dec. 31 2013

Mar. 31 2014

Cash & Short-Term Investments 220 442 661 883 772 729 695 922

Working Capital 301 475 609 837 717 728 787 777

Total Assets 1,294 1,430 1,569 1,883 2,616 3,066 3,096 3,178

Debt 0 0 0 0 300 289 278 270

Total Deferred Revenue 246 255 256 263 363 405 415 523

Total Shareholders’ Equity 631 777 910 1,189 1,494 1,779 1,857 1,849

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