NCR CORPORATIONNCR CORPORATION

Presented by:Presented by:

Dave RaspberryDave Raspberry

Cheng Murray-KhooCheng Murray-Khoo

Eric BraunEric Braun

A Data Warehousing Solutions ProviderA Data Warehousing Solutions Provider

NCR OverviewNCR Overview

Founded in 1884 by John PattersonFounded in 1884 by John Patterson

Began as a cash register company, entered Began as a cash register company, entered the computer business in 1960the computer business in 1960

Bought in 1990 by AT&T, later divestedBought in 1990 by AT&T, later divested

Purchased Teradata Corporation in the late Purchased Teradata Corporation in the late eightieseighties

NCR OverviewNCR Overview

Based on Teradata and products based on Based on Teradata and products based on the Intel chip, began the platform known as the Intel chip, began the platform known as the WorldMark seriesthe WorldMark series

Subsequently, Data Warehousing is Subsequently, Data Warehousing is becoming the dominant business in NCR’s becoming the dominant business in NCR’s product lineproduct line

Now pursuing an across-the-board approach Now pursuing an across-the-board approach to customers--large and smallto customers--large and small

How is NCR different?How is NCR different?

Utilizes Utilizes Parallel ProcessingParallel Processing and ER logical and ER logical modelingmodeling– the only fully parallel solution on the market the only fully parallel solution on the market

featuring parallel loading, processing, and featuring parallel loading, processing, and archivingarchiving

Strategic approach based on three factors:Strategic approach based on three factors:– PerformancePerformance– ScalabilityScalability– Ease of Setup and SupportEase of Setup and Support

Parallel Processing- some lessons Parallel Processing- some lessons learnedlearned

Divide the rows evenlyDivide the rows evenly

Optimize the SQL requests Optimize the SQL requests

Provide a scalable interconnectProvide a scalable interconnect

Load and restore dataLoad and restore data

Provide for easy system administrationProvide for easy system administration

Scalable Data Warehouse Scalable Data Warehouse FrameworkFramework

When building a data warehouse, NCR’s approach When building a data warehouse, NCR’s approach involves areas throughout the organization, IT involves areas throughout the organization, IT resources, the technologies, the processes, and the resources, the technologies, the processes, and the businessesbusinesses

SDW accommodates independent data marts or directly SDW accommodates independent data marts or directly building a DW with dependent data martsbuilding a DW with dependent data marts

Recommends beginning with a small scalable data Recommends beginning with a small scalable data warehouse, focusing on one or two area.warehouse, focusing on one or two area.

Scalable Data Warehouse Scalable Data Warehouse FrameworkFramework

There are four dimensions of the scalable systemThere are four dimensions of the scalable system

– The ability to input and extract data with The ability to input and extract data with consistent response timesconsistent response times

– The number of users or queries that can be run The number of users or queries that can be run simultaneouslysimultaneously

– The environmental complexity of the data The environmental complexity of the data model and the queries being run against the model and the queries being run against the modelmodel

– The degree of support needed to maintain The degree of support needed to maintain scalabilityscalability

NCR’s Logical Data Model NCR’s Logical Data Model PhilosophyPhilosophy

NCR believes star schema’s limit business NCR believes star schema’s limit business intelligenceintelligence

During modeling process, prefers Third Normal FormDuring modeling process, prefers Third Normal Form

Denormalizing helps the DBMS, but hurts the quality Denormalizing helps the DBMS, but hurts the quality of informationof information

Third normal form avoids data integrity Third normal form avoids data integrity compromisescompromises

NCR’s Logical Data ModelNCR’s Logical Data Model

The four hardest things for a database to do:The four hardest things for a database to do:

– Join TablesJoin Tables– Aggregate DataAggregate Data– Sort DataSort Data– Scan large amounts of dataScan large amounts of data

WorldMark ServersWorldMark Servers

Four generations of large and medium scale serversFour generations of large and medium scale servers

Optimized for Teradata architecture and Bynet technologyOptimized for Teradata architecture and Bynet technology

WorldMark 4800 and 5200 operate on Intel chip technologyWorldMark 4800 and 5200 operate on Intel chip technology

4800 is scalable, and designed to run on applications from 4800 is scalable, and designed to run on applications from 50 GB to 1 TB50 GB to 1 TB

Can be upgraded to the WorldMark 5200Can be upgraded to the WorldMark 5200

Designed for large scale data warehousing, 400GB to Designed for large scale data warehousing, 400GB to 100TB100TB

Teradata Relational Database Teradata Relational Database Management System (RDBMS)Management System (RDBMS)

Most powerful decision support parallel relational Most powerful decision support parallel relational database. database.

Realistically support data warehouses in excess Realistically support data warehouses in excess 500 gigabytes of user data.500 gigabytes of user data.

WHAT MAKE NCR TERADATA SO SPECIAL?WHAT MAKE NCR TERADATA SO SPECIAL?

Teradata runs on Symmetric Teradata runs on Symmetric Multiprocessing (SMP) hardware Multiprocessing (SMP) hardware

platformplatform

Each access module process (AMP) as one processor.

Each AMP executes the query functions and data management.

Each AMP controls and maintains a portion of database stored on the disks, TASKS CAN PERFORM IN PARALLEL as assigned by VNET.

Each AMP acts as a “unit of parallelism”.

Teradata’s Unconditional Teradata’s Unconditional ParallelismParallelism

NCR’s Teradata patented NCR’s Teradata patented ““shared nothing” shared nothing” architecture. architecture.

AMP

Teradata runs on Massively Parallel Teradata runs on Massively Parallel Processing (MPP) hardware platformProcessing (MPP) hardware platform

Interconnectthat coordinatesand synchronizes the activities of a

large number of SMP nodes

Scalability - the cornerstone of Scalability - the cornerstone of Teradata RDBMSTeradata RDBMS

BYNET design can linearly scale to support up to 4096 SMP nodes BYNET design can linearly scale to support up to 4096 SMP nodes on a single system. on a single system.

Database Capacity:Database Capacity:

128 Terabytes of data128 Terabytes of data 1, 024 SMP nodes1, 024 SMP nodes 32, 768 physical processors32, 768 physical processors

NCR Scalable Data WarehouseNCR Scalable Data Warehouse

NCR handles the world’s biggest data NCR handles the world’s biggest data warehouse for decision support without warehouse for decision support without compromising the data integrity by de-compromising the data integrity by de-normalizing the tables.normalizing the tables.

NCR is the only vendor in the market utilizing NCR is the only vendor in the market utilizing parallel processing with ER logical modeling.parallel processing with ER logical modeling.

NCR’s Alliance PartnersNCR’s Alliance Partners

NCR’s StrategiesNCR’s Strategies

Customer PrivacyCustomer Privacy– Claims to be the first solutions firm to place customer privacy Claims to be the first solutions firm to place customer privacy

at the center of its strategyat the center of its strategy– New database products from NCR will enable marketers to add New database products from NCR will enable marketers to add

a customer's personal preference on how their data should be a customer's personal preference on how their data should be usedused

Neighborhood Retailing Neighborhood Retailing

Customer Management SolutionsCustomer Management Solutions

Customer Relationship ManagementCustomer Relationship Management

How Do Customers Benefit From How Do Customers Benefit From NCR?NCR?

Retailers analyze their profitability on a product, customer, and Retailers analyze their profitability on a product, customer, and store-level basisstore-level basis

Banks use NCR's data warehousing to separate the profitable Banks use NCR's data warehousing to separate the profitable customers from the freeloaderscustomers from the freeloaders

Supermarkets are working on an automated pricing system for Supermarkets are working on an automated pricing system for every item in the storeevery item in the store

In the communications industry, NCR provides much needed In the communications industry, NCR provides much needed information management and the ability to bring new products to information management and the ability to bring new products to market quickly.market quickly.

NCR Customer’s ComplaintsNCR Customer’s Complaints

Databases from Oracle, IBM and Microsoft are Databases from Oracle, IBM and Microsoft are quickly adding all the features that perform quickly adding all the features that perform sophisticated requests on multiterabyte data-sophisticated requests on multiterabyte data-warehouseswarehouses

Changing ownership and leadershipChanging ownership and leadership

NCR’s sizeNCR’s size

Competition and ProblemsCompetition and Problems

Competition:Competition:Andersen Consulting, EDS, IBM, and UnisysAndersen Consulting, EDS, IBM, and Unisys

Still trails Oracle, Compaq Computer, IBM and Hewlett-Still trails Oracle, Compaq Computer, IBM and Hewlett-Packard in data warehouse salesPackard in data warehouse sales

Core business in computer systems is declining by Core business in computer systems is declining by almost 30% a year and data warehouse sales haven’t almost 30% a year and data warehouse sales haven’t picked up the slackpicked up the slack

NCR relies on international markets for 60% of its NCR relies on international markets for 60% of its revenue revenue

Stock price has dropped nearly 50% over the last four Stock price has dropped nearly 50% over the last four monthsmonths

Conclusion and Future OutlookConclusion and Future Outlook

Now dedicated to becoming the leader in data warehousingNow dedicated to becoming the leader in data warehousing

Focused on putting together a solid strategy to help Focused on putting together a solid strategy to help businesses understand who their customers are and how businesses understand who their customers are and how best to serve thembest to serve them

Outsources to Solectron nearly everything it used to Outsources to Solectron nearly everything it used to manufacture itself, resulting in great cost savingsmanufacture itself, resulting in great cost savings

Forecast six to ten acquisitions in the $20 million to $100 Forecast six to ten acquisitions in the $20 million to $100 million range in the near futuremillion range in the near future

Possess the needed technology and assets Possess the needed technology and assets

Planning initiatives in e-commercePlanning initiatives in e-commerce

NCRNCR

Questions…?Questions…?