Maximizing Business Value: Optimizing Technology Investment

1.Maximizing Business Value Optimizing Technology Investment RandyS. Lea Vice President, Products and Services Marketing Masters 2010

2. Teradata Leadership and Innovation The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 3. Teradata Leadership and Innovation The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 4. Teradata - Parallel Everywhere! Predictable, Scalable Performance Teradata Master node bottleneck 2-tier bottleneck Intelligent Storage Database Software Host Node Enabling business growth and success!loader loader 5. Teradata Easy to Manage The Database Should Manage Data, Not People Teradata DBA Self managing administration Few or automatic controls Bolt-On Parallelism 100s of controls and parameters RDBMS resists change block sizes extents reorgs file placement buffer sizing temp space many indexes sort/spool space hints parallel threads partition, repartition memory controls static priorities constant monitoring data distribution sort area I can help you with that business problem 6. Teradata Viewpoint: Self Service Portlets My Queries

My Queries

Provides information about queries and sessions

Check your running query

Detailed view drill downon selected session

For business users, developers, DBAs

Power users will usedrill down

Analyze hotspots

Selectable metrics

Helps find time slots to run resource-intensive jobs

For DBAs, operations, developers, power users

Tuesday at 4PM is a good time to run a big report

8. Teradata Viewpoint: Rewind Feature Scroll Back in Time Like Your Home DVR Scrolling back through history My query ran a long time this morning 9. Industrys Most Mature Optimizer Advanced Query Rewrite Capability

More than 30 years of data warehouse maturity

Supporting and learning from the most sophisticated data warehouse customers in the world

Why is this important?

Not everyone is a SQL expert

SQL from BI tools not optimized

SELECT *FROM Sales1WHERE EXTRACT(MONTH FROM Sales_Date) = 1 UNION ALL SELECT *FROM Sales2WHERE EXTRACT(MONTH FROM Sales_Date) = 1 ; SELECT *FROM Sales1WHERE EXTRACT(MONTH FROM Sales_Date) = 1;Before Re-write After Re-write Itll even correct some of your mistakes! 10. Would Any of These be of Value to You? Dynamic Control of System Resources

CEO gets highest priority on his requests

Finance users get high priority between 8:00am and 10:00am and 1:00pm and 3:00 and then switch to low

Marketing queries that take longer than 10 minutes between 7:00am and 11:00am move to medium priority

User Randy gets high priority when running a compliance request

User Randy gets low priority when running a compliance analysis report

User Darryl can run no more than 10 queries at a time between 8:00am and 6:00pm

Web and call center applications get high priority 24 hours a day

11. Teradata Active Systems Management Some Workload Controls Date and time range controls Periods Exempt specific users from all rules Bypass Privileges Limit concurrent load and export jobs Load Utility Throttles Limit logons and/or queries active by account or performance group Object Throttles DDL, DML, select Type of SQL Databases, tables, views, macros, stored procedures Query Objects Time, row counts, joins, scans Query Resource Rules Parameters for a user or group of users Profiles 12. Viewpoint: Workload Monitor Portlet Teradata Ease of Use NumberofIncomingQueries Outside of SLG NumberofQueries AfterFilters andThrottles Exception Reclass Filter Reject Throttle Delay Throttle Reject Exception Reject 13. Workload Priority vs Actual Consumption Managed Dynamically by the Database RMHL Actual Server Utilization Workload Assigned PrioritiesRelative Weights Used RReal time 47% HTactical 45% M Loads 5% LDSS Queries 1% L MHR 14. Teradata 12 New Releases Every 12-18 Months

~30% improvement in query performance

~20% improvement in archive

~20-60% load improvement with SQL Bulk Load

~30% query performance with Multi Level PPI

~50% improvement in checktable performance

~30% query performance with parameterized statement caches

High Performance Innovation 15. Teradata 13 Continued Innovation

Teradata Virtual Storage (TVS)

Native Geospatial Types and Functions

Large Memory Support

AJI Enhancements

TASM Ruleset enhancements

Statistics Enhancements

Lock Manager Fault Isolation

128 Way Joins

Java User Defined Functions

90+ Release Features And the list goes on.. 16. Teradata Virtual Storage Automatic Temperature Aware Data Migration

Storage subsystem software product -

Operates between the Teradata database and storage array;

Optional product

Automatic Data Placement

Based on access patterns

Frequent =Hot

Less frequent =Colder

Managed by the database, not your DBAs!

Teradata Active EDW Nodes Storage AMP AMP AMP TVS 17. Automatic data migration is what makes Teradata Virtual Storage a disruptive innovation 6 sectors/rev 12 sectors/rev Automatically Place Data on Faster Sectors Teradata Virtual Storage 6 sectors/rev Slower Access Cold Data 12 sectors/rev Faster Access Hot Data 18. The Teradata Future.

anAlways-On , self healing database,

that is aHybridrow and column store,

isS implerto manage and use,

SupportsTime Traveldata warehousing,

has built-in autonomicM anagement ,

is world leading inM ixed Storagesupport,

and runs on ourA ppliancefamily and the public and privateC loud

19. Teradata The Clear Data Warehousing Leader Leadership in Execution and Vision Ability to Execute Completeness of Vision Gartner Magic Quadrant for Data Warehouse DBMS, 2009 The Magic Quadrant is copyrighted23 December 2008 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. 20. Teradata Leadership and Innovation The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 21. Data Silos Limit Business Value

Limited Business Value

Each data mart can provide answers to subject-specific questions

With each new data mart, IT repeats its development efforts

This includes sourcing datathat already exists in another environment

Channel 29 Claims 31

Claims

Which states have exceeded expected targets by more than 20%?

Channel

What is the personal auto production by distribution channel?

Business Value IT Development Duplicated Data 22. Integrated Data Enables Superior Value

Differentiated Business Value

Combining the environments requires only incremental work for each new subject area

Enables new cross-functional insights that cant be achieved with separate data marts;new differentiated decisions

Claims Channel 29 31 Business Value IT Development 70

Combined Claims and Channel

Which agencies have personal autoclaims experience 20% higher than previous year?

Shared Data 23. Integrated Data Enables Superior Value

Claims 31 Channel 29 Business Value IT Development 189 70

Combined Claims, Channel, Customer

What is the renewal rate of personal auto customers who have filed at least one claim over the past five years, segmented by agency and household policy ownership (auto, homeowners, umbrella, boat, etc)?

Customer 43 Financial 64 Customer 43 24. Integrated Data Enables Superior Value

Claims 31 277 189 Channel 29 Customer 43 Financial 64 Business Value IT Development

Combined Claims, Channel, Customer, Financial Information

What is the profitability of personal auto customers with at least one claim over five years, by agency and household policy ownership?

Financial 64 25. Integrated Data Enables Superior Value

Teradata customers find that as their warehouses grow, they add incrementallyless dataandless effortto enablenew applicationsandnew business value

Claims 31 277 Channel 29 Customer 43 Financial 64 Business Value IT Development 26. Insurance: Data Reuse Analysis Faster Time to Market on New Insight and Apps Risk ManagementOptimization Underwriting RiskAnalysis Product andCustomer Alignment Sales Reporting andPerformance Analysis Claims PaymentManagement Consistent Compliance InfrastructureAssurance Customer Acquisition CustomerCommunicationsManagement Customer Retention New Business Improvement Opportunities through Data Leverage ChannelCommunications 100% 82% 75% 63% 57% 74% 83% 53% 62% 54% 24% 100% 25% 11% 21% 56% 22% 10% 18% 9% 64% 71% 100% 47% 45% 64% 64% 49% 54% 38% 27% 17% 24% 100% 47% 26% 38% 36% 31% 47% 28% 35% 26% 53% 100% 52% 32% 39% 29% 57% 16% 41% 16% 13% 23% 100% 8% 6% 14% 11% 56% 52% 66% 31% Customer Retention 50% 32% 65% 17% Customer Communications Management 50% 57% 69% 26% Customer Acquisition 58% 83% 78% 62% Consistent Compliance Infrastructure Assurance 44% 79% 65% 67% Claims Payment Management 26% 29% 72% 29% Channel Communications 100% 71% 65% 45% Product and Customer Alignment 49% 100% 50% 55% Underwriting Risk Analysis 40% 45% 100% 30% Sales Reporting and Performance Analysis 54% 95% 58% 100% Risk Management Optimization If Then 27. Insurance: Data Reuse Analysis Faster Time to Market on New Insight and Apps New Business Improvement Opportunities through Data Leverage 28. Architecture Alternatives Distributed, Hub and Spoke, Federated Transactional Data Decision Users Transactional Users Data Transformation Operational Data Store (ODS) Data Warehouse Data Replication Data Marts Strategic Users Tactical Users ReportingOLAP Users Event-driven/ Closed Loop Data Miners Optional ETL Hub Hub and Spoke Enterprise Information Integration Middleware/Enterprise Message BusMetadataLogical Data ModelPhysical Database Design Enterprise, System, and Database Management Businessand Technology Consultation Support and Education Services 29. Architecture Alternatives Distributed, Hub and Spoke, Federated Transactional Data Decision Users Transactional Users Data Transformation Operational Data Store (ODS) Data Warehouse Data Replication Data Marts Strategic Users Tactical Users ReportingOLAP Users Event-driven/ Closed Loop Data Miners Optional ETL Hub Hub and Spoke Enterprise Information Integration What are some of the challenges? 1. There are too manycopiesof the data.2. There is too muchlatency . Everyone sees different data with inconsistent points in time. 3. The solution istoocomplex . Multiple ETL processes and increased security risk. 4. The solution is tooexpensive . DBAs, system admin, maint., underutilized servers, data models. Middleware/Enterprise Message BusMetadataLogical Data Model Physical Database Design Enterprise, System, and Database Management Businessand Technology Consultation Support and Education Services 30. Advocated Architecture by Teradata Enabling Superior Business Value Transactional Data Decision Users Transactional Users Data Transformation Operational Data Store (ODS) Data Warehouse Data Replication Data Marts Strategic Users Tactical Users ReportingOLAP Users Event-driven/ Closed Loop Data Miners How is Teradata different? 1. Dramatic reduction in the number ofcopiesof the data. 2. Reducedlatencytime with fewer input and access paths. 3. The architecture issimplifiedfor faster solution development and quicker ROI! 4. Proven to beless expensive . Lower Total Cost of Ownership! Much fewer systems, people and processes. Middleware/Enterprise Message BusMetadataLogical Data Model Physical Database Design Enterprise, System, and Database Management Businessand Technology Consultation Support and Education Services 31. Teradatas Active Enterprise Intelligence Five Stages of Evolution and Maturity Continuous update and time-sensitive queries become important OPERATIONALIZING WHAT IS happening? Event-based triggering takes hold ACTIVATING MAKE it happen! Primarily batch and some ad hoc reports Increase inad hoc analysisANALYZING WHYdid it happen? REPORTING WHAT happened? Analytical modeling grows PREDICTING WHAT WILLhappen? Workload Sophistication Scalability Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 32. Capability Database and Platform Requirements Enablement for Superior Business Value Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 33. Database and Platform Requirements Enablement for Superior Business Value Capability Extreme Performance X DatabaseFunctionality X Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 34. Database and Platform Requirements Enablement for Superior Business Value Capability Extreme Performance XXX X DatabaseFunctionality XXX X Data Scalability XX Concurrency XX Cross FunctionalX Availability WorkloadManagement Investment Protection Active Access/Loads 35. Database and Platform Requirements Enablement for Superior Business Value Capability Extreme Performance XXXX XXX X DatabaseFunctionality XXXX XXX X Data Scalability XXXX XX Concurrency XXXX XX Cross FunctionalXXX X Availability XX WorkloadManagement XXX Investment Protection Active Access/Loads 36. Database and Platform Requirements Enablement for Superior Business Value Capability XX Extreme Performance XXXXX XXXX XXX X DatabaseFunctionality XXXXX XXXX XXX X Data Scalability XXXX XXXX XX Concurrency XXXX XXXX XX Cross FunctionalXXX XXX X Availability XXXXX XX WorkloadManagement XXXX XXX Investment Protection XXXX Active Access/Loads 37. Database and Platform Requirements Enablement for Superior Business Value Capability XXX XX Extreme Performance XXXXX XXXXX XXXX XXX X DatabaseFunctionality XXXXX XXXXX XXXX XXX X Data Scalability XXXXXX XXXX XXXX XX Concurrency XXXX XXXX XXXX XX Cross FunctionalXXXXXX XXX XXX X Availability XXXXX XXXXX XX WorkloadManagement XXXXXX XXXX XXX Investment Protection XXXXX XXXX Active Access/Loads 38. Database and Platform Requirements Enablement for Superior Business Value Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 39. Capability Database and Platform Requirements Enablement for Superior Business Value Seven Customers in the Teradata Petabyte Club Proven References Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 40. Database and Platform Requirements Enablement for Superior Business Value Intelligent Scanning, In-Database Analytics, Triggers, Stored Procedures, etc. Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 41. Database and Platform Requirements Enablement for Superior Business Value Millions of Queries Reports, Ad-hoc, ComplexAnalytics, Data Mining, Web Site, Call Center, etc Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 42. Database and Platform Requirements Enablement for Superior Business Value 128-Way Join Capable with the Most Mature Data Warehouse Optimizer in the Industry! Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 43. Database and Platform Requirements Enablement for Superior Business Value Full Performance Continuity with Hot Standby Nodes/Disks and Dual Active Systems Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 44. Database and Platform Requirements Enablement for Superior Business Value Achieving Business SLGs Industrys Most Advanced Workload Management Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 45. Database and Platform Requirements Enablement for Superior Business Value Multi-Generation Node Co-Existence Reduce Floor Sweep Upgrades Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 46. Database and Platform Requirements Enablement for Superior Business Value Batch and Continuous Loads While Supporting Back Office and Front-Line SLGs Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 47. Database and Platform Requirements Enablement for Superior Business Value Recognized as the Industrys Leading Data Warehouse Platform Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 48. Database and Platform Requirements Enablement for Superior Business Value Recognized as the Industrys Leading Data Warehouse Platform Appliances Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 49. TeradataPurpose-Built Platform Family Capability Extreme Performance XXXX XXX X DatabaseFunctionality XXXX XXX X Data Scalability XXXX XX Concurrency XXXX XX Cross FunctionalXXX X Availability XX WorkloadManagement XXX Investment Protection Active Access/Loads 50. TeradataPurpose-Built Platform Family Capability Data Warehouse Appliance Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 51. TeradataPurpose-Built Platform Family Capability Extreme Performance XXX X DatabaseFunctionality XXX X Data Scalability XX Concurrency XX Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 52. TeradataPurpose-Built Platform Family Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Data Mart Appliance 53. TeradataPurpose-Built Platform Family Capability Extreme Performance XXXXX XXXXX XXXX XXX X DatabaseFunctionality XXXXX XXXXX XXXX XXX X Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 54. TeradataPurpose-Built Platform Family Capability Extreme Data Appliance Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads 55. TeradataPurpose-Built Platform Family Data Warehouse Appliance Data Mart Appliance Capability Extreme Data Appliance Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse 56. Australian Pharmaceutical Industries Data Mart Appliance

API is one of Australias leading providers of products and services to branded and independent community pharmacies. It provides daily distribution of products to pharmacies through its network of distribution centers and regional branches

Reasons APIchoose Teradata

Performance

Integrated DataView

Scalability

Affordability

Low TCO

Our newTeradata Data Mart Applianceis the beginningof our enterprise data warehouse implementation program and has already resulted infaster and more accurate information deliveryto the Pharmacy Division, Sincereplacing our SQL Server-based environment with Teradata,we are gaining access to significant new insights and opportunities to do business more efficiently and effectively. We took on the majority of the implementation ourselves and we havemaintained our self-sufficiency post implementation. By using our existing IT resources,together with the decision to start with an entry level appliance platform, we have been able to put together a cost effective solution that is showing ROI.

Brett Hart, Application Manager, API Pharmacy Division

57. Australian Pharmaceutical Industries Data Mart Appliance

API is one of Australias leading providers of products and services to branded and independent community pharmacies. It provides daily distribution of products to pharmacies through its network of distribution centers and regional branches

Reasons APIchoose Teradata

Performance

Integrated DataView

Scalability

Affordability

Low TCO

Our new Teradata Data Mart Appliance is the beginning of our enterprise data warehouse .already resulted in faster and more accurate information delivery to the Pharmacy Division. Since replacing our SQL Server-based environment with Teradata, we are gaining access to significant new insights. We took on the majority of the implementation ourselves and we have maintained our self-sufficiency post implementation. By using our existing IT resources, . we have been able to put together a cost effective solution that is showing ROI.

Brett Hart, Application Manager, API Pharmacy Division

58. AirCel India Active EDW and Extreme Data Appliance

AirCel is Indias seventh largest GSM mobile cellular service provider with a subscriber base of over 9.43 million.

Reasons AirCel bought Teradata

Enterprise Integration

Price point for specific application

Scalability

Affordability

AirCels Use of Active EDW 5550

Migration of their core data warehouse functions to Teradata

Aircels use of 1550 Appliance

Retain large volumes of Call Detail Records (CDR) to fulfill law enforcement compliance requirement

7 years of CDR history offers valuable customer insight

59. TeradataPurpose-Built Platform Family Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse Extreme Data Appliance Data Warehouse Appliance Data Mart Appliance Extreme Performance Appliance 60. Worlds Fastest Data Warehouse Extreme Performance Appliance

Teradata Blurr Technology

Fast and consistent query response times

When you need to knowNow!

Scan and aggregate millions of rows in less than a second

Hyper Analytics for truly operational BI

Up to 20X Overall Performance Improvement

Over Industry Leader Teradata

Not just one query or load job Overall!

100%Solid State Drive Appliance 61. Mechanical Rotation and Seek Limit HDD Speed 22X Fasteron Typical Data Warehouse Workloads Mechanical Rotation and Seek LimitHDD Speed data data data data Database Server Database Server 62. Eliminating the Bottleneck! DirectConnect ArrayController Data Protection Enabled by Fallback Extreme Performance Appliance Competitive Systems Array Controller kmh 63. Teradata SSD versus Typical Flash Cache Focused on Data Warehousing, not OLTP! HDD Flash Cache 2.4 TB Data Space per Node ~.4 TB Data Space per Server Data Loads Data Loads Consistent Query Response Non Cache Hits Up to 22X Slower Unix and Windows Servers Teradata Node 64. Extreme Performance Appliance 4600 Target Application Environments

Hyper analytics for Operational BI

Beyond near real time business environments needing consistent response to events in sub-second windows

Sense and respond to business-critical events immediately - when they are most valuable

Targeted at 100% hot data applications

Blazing fast operational queries

Aggregate millions of rows in a second

Complex analytics at the speed of thought

Super fast data loads

65. TeradataPurpose-Built Platform Family Capability Extreme Performance DatabaseFunctionality Data Scalability Concurrency Cross FunctionalAvailability WorkloadManagement Investment Protection Active Access/Loads Active EnterpriseData Warehouse Extreme Data Appliance Data Warehouse Appliance Data Mart Appliance Extreme Performance Appliance 66. 6 sectors/rev 12 sectors/rev Automatically Place Data on Faster Sectors or Drives Teradata Virtual Storage 6 sectors/rev Slower Access Cold Data 12 sectors/rev Faster Access Hot Data 12 sectors/rev Faster Access Warm Data SSDs Fastest Access Hot Data What If You Could? Teradata Virtual Storage data data data Database Server 67. View of the FutureLeverage SSD for Multi-Temperature Data 300GB SAS Drives 1 TB SAS Drives Solid State Drives (SSD) Traditional Performance On-Line Compliance /Archival Extreme Performance Teradata Active Enterprise Data Warehouse Auto-migration w/TVS 68. Architecture Flexibility Platform Choices Business Value, Ease of Management, Cost 1 TB SAS Drives Solid State Drives (SSD) Active Enterprise Data Warehouse Independent Extreme Data Appliance 1600 Extreme Performance Appliance 4600 Integrated Auto-migration w/TVS 69. Architecture Flexibility Platform Choices Business Value, Ease of Management, Cost 1 TB SAS Drives Solid State Drives (SSD) Active Enterprise Data Warehouse Integrated Independent Extreme Data Appliance 1600 Extreme Performance Appliance 4600 Auto-migration w/TVS 70. Architecture Flexibility Platform Choices Business Value, Ease of Management, Cost 1 TB SATA Drives Solid State Drives (SSD) Integrated Independent Extreme Data Appliance 1600 Extreme Performance Appliance 4600 Auto-migration w/TVS In-database operations Data Movement Hot Cold Inter-system operations Harder Ease of Workload Management Easier Single Database Integrated Data Silod Data (data model consistent) ~.8X (est.) Price 1X (est.) In-database operations Query Access Inter-system operations Single system simplicity Ease of Data Management Multi-System complexity EDW Single System / TVS Architecture Data Marts Multi-systems 71. Teradata Analytical Ecosystem Management Monitor and Manage All Teradata Systems Data Integration Business Intelligence EnterpriseData Warehouse Dual Active Production #2 Teradata Data Mover, Replication Services, Dual Load, ETL Partners Active EnterpriseData Warehouse Advanced Workload Management Master Data Management Teradata Multi-System Manager Monitoring, Alerting, Administration, Control Teradata Viewpoint Single Operational View of All SystemsTest & Dev Extreme Data Data Mart BAR 72. Teradata Is About Choice Choose an Architecture to Meet Your Business Teradata Data Mover, Replication Services, Dual Load, ETL Partners Active EnterpriseData Warehouse Analytical Ecosystem Management ExtremePerformance DSS Single, Integrated Active Data Warehouse SSD Entrp. HDD Fat HDD Unlimited Business Value Architecture FlexibilityDSS Extreme Performance Extreme Data Extreme Data 73. Teradata Is About Choice Choose an Architecture to Meet Your Business

Teradata; Focused on

removing the technology barriers that inhibit the realization of Active Enterprise Intelligence

a Platform Family with a price point for every need and architecture

on maximizing your business valueplusoptimizing your technology investment

ExtremePerformance DSS Single, Integrated Active Data Warehouse SSD Entrp. HDD Fat HDD Unlimited Business Value Architecture FlexibilityExtreme Data 74. Teradata Express for VMWare Player Free Developers Edition

Free VMWare image

Teradata 12 + SLES10

Up to 1TB database size

Non-production use

Intel servers and PCs

Runs on

64-bit capable machines

Requires VMWare player

75. Teradata Express for Amazon Free Developers Edition

Free Teradata software

1TB disk limit

Runs in Amazon Web Services

Working with Teradata Engineering

Amazon has a Teradata EDW

>Oct. 6, 2009 data sources EBS 76. Trusted Advisor on Your Architecture With Teradata Its Your Choice Cloud Enterprise Data Warehouse Data Marts Star Schema Active DataWarehouse Sand Boxes 3 rdNormal Form Hub and Spoke Teradata is the only database that does not lock you into a sub-optimal enterprise approach to data architecture, but supports a cross-section of approaches to addressallanalytical requirements. 77. Benefits of Teradatas Architectural Flexibility Investment Protection

Start Small at Any Price Point and Grow

Leverage Existing Resources and Tools

DBAs, systems administrators, andapplication developers can support multiplesystems and leverage existing tools withoutadditional training

Easily Migrate Applications Between Teradata Platforms as You Optimize Your Environment

Leverage same data, data model, table structures,views, queries, and load programs

Evolve to Active Enterprise Intelligence Over Time

Flexibility to meet short and long-term analytic data integration requirements

78. Teradata Leadership and Innovation The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 79. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 80. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse 20-40+% wasted moving data OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 81.

BI Tool Becomes ETL Tool from the Warehouse

OLAP Architectures Various Amounts of Data Being Moved Physical Cube (MOLAP) Multi-Dimensional View DataWarehouse OLAP Engine (ROLAP) Hybrid Approach (HOLAP) 0 1101 1001 0101 1011 10110111011 01010011101 10110111011 10110111011 01010011101 10110111011 01010011101 10110111011 01010011101 10110111011 1 0 1 Marketing Executive Power UsersAnalyst CUSTOMER CUSTOMER NUMBER CUSTOMER NAME CUSTOMER CITY CUSTOMER POST CUSTOMER ST CUSTOMER ADDR CUSTOMER PHONE CUSTOMER FAX ORDER ORDER NUMBER ORDER DATE STATUS ORDER ITEM BACKORDERED QUANTITY ITEM ITEM NUMBER QUANTITY DESCRIPTION ORDER ITEM SHIPPED QUANTITY SHIP DATE 82. Teradata Business Intelligence Optimizer Building Dimensional Structure in Teradata TBIO Aggregate Designer TBIO Schema WorkbenchExcel or MDX Client Optimized SQL Excel or MDX Client BI Tool Schema Definitions TBIO Schema Definitions MDX AJIs 83. Teradata Business Intelligence Optimizer Building Dimensional Structure in Teradata TBIO Aggregate Designer Optimized SQL Schema Definition BI Schema Definition MDX Excel or MDX Client AJIs TeradataSchema Workbench 84. Teradata Aggregate Designer Workflow Schema Definition BI Schema Definition AJIs Teradata Aggregate Designer TeradataSchema WorkbenchOptimized SQL 85. Microsoft Excel PivotTables in Action Direct Connect to Teradata 86. Microsoft Excel PivotTables in Action Direct Connect to Teradata 87. OLAP Optimization Results Landline Communications Provider

38 dimensions/24 measures with 5 years of history

Add 39 thdimension: Wire Center

Maintenance: 13 hoursto3 minutes

Cube size: 22.4 GBto=$50

Profitability

Score=$50

Profitability

Score >=75

Regions 3 mile radius 15 mile radius *Deliver Zone Customer Store Zipcodes 92024 92009 92024 92009 Bring the Analytics to the Data, Not the Data to the Analytics 94. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 95. Business Need for Agile Analytics Flexibility vs. IT Process Bridging the Gap!

Analyze quickly

New theory

New data

Fail fast

Was the theory right?

Does the new data provide additional insight?

Productionize what works

Add the new application

Add the new data

Or leave it as is

96. Traditional Sand Box Environments Duplicated Systems and Processes

Data moved across the enterprise

Cost of servers

Cost of data movement

Cost of shadow IT

Control and quality issues

Security

Privacy

Completeness of data

Freshness of data

Data warehouse and multiple data marts or sand boxes Active Data Warehouse Base tables 97. Teradatas Agile Analytics Cloud Almost Free!

An internal private cloud

On-demand self-service

Broad network access

Resource pooling [virtual]

Rapid elasticity

Measured Service [pay per use]

Enablers

Elastic Mart Builder

Free Viewpoint portlet

Teradata Active System Management (TASM)

Professional Services

Analytic sand boxes inside the production Teradata system Active Data Warehouse Base tables 98. Elastic Mart Builder Simple, Self Service Provisioning Verify Data Table Name Integer Date Char Decimal Elastic Marts POC Sand box Virtual mart Enterprise Data Warehouse xyz Col3 PI Type 123 abc Sample Col2 Col1 CSV Upload File Upload Password Myfile.csv File name User Name Elastic Mart Builder Create UserName MySpecialID Password Perm space 500MB Import 1 2 3 4 5 99. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse 20-40+% wasted moving data Data Warehouse OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 100. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 101. Superior In-Database Analytics and Processes Enabling Better, Faster Insight Data Warehouse

Superior End-to-End Analytics!

Query processing orders of magnitude faster (In-database processing)

Analytic processes improved by hours and days

Data warehouse investment is optimized for analytics,notdata movement between systems

OLAP Cubes What if analysis and reporting Agile Analytics Sand Boxes, new theories on new data Data Mining Predictive analysis on what is going to happen? Geospatial New analytics on geocoded data Excel/ Access Reporting, individual analysis and models 102. Teradata Leadership and Innovation The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 103. Teradata Vision

ACTIVE ENTERPRISE INTELLIGENCE

Integrate and manage data across the enterprise forstrategic intelligence

Extendoperational intelligenceto front-line workers, suppliers, and customers

104. Active Enterprise Intelligence An Obvious Trend: More Speed, More Users Days Seconds 1,000s to 1,000,000s of Front Line Operational Decisions 100s of CorporateKnowledge Workers Operational Intelligence Strategic Intelligence 105. Active Enterprise Intelligence An Obvious Trend: More Speed, More Users Days Seconds

Call Center Customer History

Gate Agent Event Notification

Web Personalized Offers

Sales Product Profitability

Marketing CRM

Manufacturing Demand Chain Management

Operational Intelligence Strategic Intelligence 106. Active Enterprise Intelligence An Obvious Trend: More Speed, More Users Days Seconds EDW Enterprise Integration SOA, BPMS, IDEs Portals/composite applications Mixed workload management Enterprise Data Warehouse BI Tools and reports Analysis and visualization Predictive Analytics Operational Intelligence Strategic Intelligence 107. Active Enterprise Intelligence in RetailDetecting Retail Fraud Associates query Teradata to quickly check if a return has already occurred on thatreceipt number. Also used by analysts to understand and prevent excessive returns. Solution Associates in returns department did not have historical POS receipt retrieval access to verify against previously returned receipts or to do returns without receipts. Problem Thieves make copies of cash register receipts, walk into the store, pick up merchandise, and return items for cash.Situation 108. Return Receipt Validation Process POSWeb ServiceTeradataPOS Valid Return or Fraud? Teradata Web Service

Validate returns

Re-calc refund

SOAP XMLODBC Id like to return this item Stored Procedures ItemValidation GetTranDetails GetRootTransaction GetTransaction 109. Active Enterprise Intelligence in RetailDetecting Retail Fraud Associates query Teradata to quickly check if a return has already occurred on thatreceipt number. Also used by analysts to understand and prevent excessive returns. Solution Associates in returns department did not have historical POS receipt retrieval access to verify against previously returned receipts or to do returns without receipts. Problem Thieves make copies of cash register receipts, walk into the store, pick up merchandise, and return items for cash.Situation

(for 500-store chain)

100% ROI in 5 months

Stopped a crime ring on the first day of rollout

Cost savings have been huge

Impact 110. CreditD ecision - makingP rocess B efore S cenario

35 00 peopleinvolved

Issuing900 000credit contracts yearly

Loan contract issuingon average in6working days

Issu e costper contract240 EUR

Gathering 360 data view on customer Decision Maker Level 1 Decision Maker Level 2 Credit Committee Manager releases money Prepares contract Paper based credit application Customer adopts credit proposal Paper based contract Archives documents Signed contract Paper based decision Paper based decision Paper based decision Prepare fordecision Favorable ornot decisionwith conditions 1 2 3 Customer and teller Contract 111. ImprovedC reditD ecision -m akingP rocess AfterScenarioandFuture S cenario Approval in 15 Minutes Customer Branch Call center Internet ATM External data providersReal time data gathering Automated scoring Automated pricing Automated special conditions Internal data sources/EDW Result Monitoring Data gathering and credit decision in5 secondstoday! Contract in 15 min.retail customers| 30 min. forcorporate customers 112. Active Enterprise Intelligence In Banking Faster Loans Situation EMEA bank with 3M customers had costly and slow manual process for loans andas s essing customer creditability . 3500 people issued 900,000 loans/year.Problem Lacked ability to access 360 0view o fcustomer data (internal and external) and use this data for real-time credit decision making .Solution Used Teradata to drive real-timeinternal and external data consolidation and deliveryof near- instant credit decisions . Impact

Before: Loan took up to 6 days, cost 240 Euros

After: Loan takes < 15 min and 32 Euros to process

Teradata risk rating portion:5 seconds

Cut out human error in credit decision making

Payback time 8 months

Substantially decreased headcount

Annual ROI:26 . 7 %

113. Active Enterprise Intelligence in Online Retail Personalized Offers Used Teradata to display personalized real-time web offers and send more focused email offers reflecting recent and specific interests during the web shopping session. Solution Offers presented were generic did not make use of detailed customer specific information origin, shopped destinations, travel interests.Problem Response rates of targeted e-mail campaigns were good but not increasing. Conversion rates of offers during web shopping visit also not meeting goals. Situation

Personalized offers are 3-5X more successful than generic offers

1.3M additional queries per day to do personalization used less than 3% of system

Leveraged existing information in the data warehouse

Impact 114. Presentation Architecture Round trip < 300ms

Predictive models

Targeted offers

Triggers, Alerts

Channel adapters

EDW Data capture andload batch stream

Deal finding

Profiles

Lead price harvesting

Booking

Campaigns

Shopping

Merchandising Services Customer ID Svc TAP Real-time BI Presentation Layer Booking Services Cookie orIP Address GDS Merchant Finance OLTP1 OLTP2 OLTP3 115. STRATEGIC INTELLIGENCE Active Enterprise Intelligence INSIGHTS ACTION OPERATIONAL INTELLIGENCE Insights Into Action Results Intelligence Respond Assess Sense Plan Report Analyze Predict 116. Teradata Leadership and Innovation Staying Ahead of the Competition The Best Database for Analytics Leverage unmatched performance, scalability, and manageability Architectural Flexibility Meet your requirements with any architecture, price point, and data model Optimized Decisioning Discover smarter insights faster using superior in-database and analytical processes Superior Operational Execution Drive faster front line actions with better, more relevantinsights 117. 118. Teradata Business Messaging 119. Agility The Key to Differentiation

The market turbulence ofthe past year may haveforeshadowed a new phaseof globalization, one in which(business) volatility is likelyto remain a constant.

Organizational Agility: How BusinessesCan Survive and Thrive in Turbulent Times ,The Economist Intelligence Unit

120. What Is Enterprise Agility?

Enterprise Agility

Effectively maneuver across any complex and dynamic business environment overcoming obstacles and creating opportunities to drive superior results.

Core Concept MANEUVER 121. Teradata Delivers Enterprise Agility INTELLIGENT POWERFUL BREAKTHROUGH 122. New Teradata Business Messaging Enterprise Agility Establish the most comprehensive and transparent view of the enterprise for smarter decision making. Cut through the complexities of business dimensions to execute strategies and drive results at any scale. Apply unmatched capabilities andexpertise to foster game-changinginnovation. EnhanceVisibility ConquerComplexity Ignite Ingenuity 123. Business Messaging Proof Points Enhance Visibility Establish the most comprehensive and transparent view of the enterprise for smarter decision making.

Connect data silos to eliminate information black holes

Provide access to consistent and comprehensive information in a role-specific context

Strengthen customer and supplier relationships through dynamic information access

Conquer Complexity Cut through the complexities of business dimensions to execute strategies and driveresults at any scale.

Anticipate and act with speed and confidence as business conditions change

Execute business initiatives systematically to achieve optimal decision making at all levels of the enterprise

Quickly answer any question across the entire value chain by integrating information from all parts of the business

Ignite Ingenuity Apply unmatched capabilities andexpertise to fostergame-changinginnovation.

Utilize a proven set of uniquely powerful and superior technologies

Develop sustainable advantages by partnering with an organization focused solely on enterprise analytics

Leverage the knowledge and practices of an elite network of customers and partners

124. Enterprise Agility Examples Enhance Visibility Establish the most comprehensive and transparent viewof the enterprise for smarter decision making. Connect datasilos to eliminate informationblack holes Found millions in revenue by evaluating customer behavior AT&T Mobility migrated customers to more profitable plans based on analysis of their call detail records and location. Customers who roamed excessively were profiled by handset purchase and home address, and moved to better plans to protect profitability. Provide accessto consistent and comprehensiveinformationin a role-specific context Recovered 8% of sales lost to pricing discrepancies Haggen combines business intelligence solutions to monitor every aspect of the business from operations to inventory to promotions.Store and regional managers have access to transaction data within 15 minutes of occurrence and can respond quickly to standardize pricing. Strengthen customer and supplierrelationships through dynamic information access Connected 30,000+ internal and external users to self-serve insight Norfolk Southern cut out time and labor from directly addressing the queries of power users on shipment schedule and delivery.Building a web-based Report Wizard enabled NS partners and employees to run more than 10,000 types of customized reports without waiting for NS to help.Dramatically increased productivity and cut cost. 125. Enterprise Agility Examples Conquer Complexity Cut through the complexities of business dimensionsto execute strategies and drive results at any scale. Anticipate and act with speed and confidence as business conditions change. Increased operating income by $63M during a retail downturn JCPenney uses DCM to support advanced forecasting models to reduce inventory for items that are experiencing a decrease in demand.By aligning inventory with sales trends as they happen, JCP sells more merchandise at retail prices and minimizes unsold merchandise moving to clearance. Execute business initiatives system-atically to achieve optimal decision making at all levels of the enterprise. Reduced costs by $90 million through productivity initiatives Wesco is an electrical product distributor for with over 130,000 customers, 24,000 suppliers, 370 branches and eight distribution centers. Their solution brings together information from purchasing and inventory management systems, sales and marketing, pricing and discount management, and key historic multi-year data to cut costs and deliver profit to shareholders. Quickly answer any question across the entire value chain by integrating information fromall parts of the business. Expedite policy writing to close 50% faster and more accurately Nationwides vision was to create an authority source for information and reporting to provide clarity, accuracy, and flexibility.The opportunity was to gain a single view of policy information, pricing, claims, billing, marketing and customer information. Results:products re-priced and re-rated within seconds, immediate information to agents, enabling faster writing and increased accuracy. 126. Enterprise Agility Examples Ignite Ingenuity Apply unmatched capabilities and expertise tofoster game-changing innovation. Utilize a provenset of uniquely powerful and superior technologies. Transformed the loyalty program model into a profit and revenue center The AAdvantage program from American Airlines invented and defined rewards programs. Still the most successful on record, AAdvantage became a profit center, retention program, and a brand image enhancement.Teradata enabled innovations like balancing reward travel with paid seating, or diversifyingmileage awards with outside partnerships.AAdvantage continues to extend to revenue opportunities such as Flex Awards: cash+miles purchasing.Develop sustainable advantages by partnering withan organization focused solely on enterprise analytics. Saved $1.62 billion in lost deposits, grew market share from 13% to 20% National Australia Bank, a top 50 global banking entity, developed a multi-channel relationship marketing strategy linking customer profile and behavior to event triggers.NAB reached response rates as high as 75%, 98% retention rate, and 88% referral rate within targeted segments and reduced media advertising by 75% because of the improved understanding of their customers. Leverage the knowledge and practices of anelite networkof customersand partners. The Teradata Community is riveted on driving business innovation and learning Joining the Teradata community offers companies a unique opportunity to learn from the worlds most successful and innovative companies. From Amazon to Dell to Wal Mart, Teradata users are changing the shape of their industries and delivering breakthrough performance. From social networks to peer communities to the annual PARTNERS Conference the Teradata community is designing the future of business. 127.

Maximizing Business Value: Optimizing Technology Investment

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