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NCR CORPORATION Presented by: Madhav Sareen Utsav Panesar Nikhil Verma Guprpal Singh A Data Warehousing Solutions Provider 

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NCR CORPORATION

Presented by:

Madhav Sareen

Utsav Panesar

Nikhil Verma

Guprpal Singh

A Data Warehousing Solutions Provider 

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NCR Overview

Founded in 1884 by John Patterson

Began as a cash register company, entered

the computer business in 1960

Bought in 1990 by AT&T, later divested

Purchased Teradata Corporation in the lateeighties

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NCR Overview

Based on Teradata and products based onthe Intel chip, began the platform known asthe WorldMark series

Subsequently, Data Warehousing isbecoming the dominant business in NCR’s

product line

Now pursuing an across-the-board approachto customers--large and small 

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How is NCR different?

Utilizes Parallel Processing and ER logicalmodeling

 – the only fully parallel solution on the marketfeaturing parallel loading, processing, andarchiving

Strategic approach based on three factors:

 – Performance – Scalability

 – Ease of Setup and Support 

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Parallel Processing- some lessons learned

Divide the rows evenly

Optimize the SQL requests

Provide a scalable interconnect

Load and restore data

Provide for easy system administration 

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Scalable Data Warehouse Framework

When building a data warehouse, NCR’s

approach involves areas throughout theorganization, IT resources, the technologies, theprocesses, and the businesses

SDW accommodates independent data marts ordirectly building a DW with dependent data marts

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

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Scalable Data Warehouse Framework

There are four dimensions of the scalable system

 – The ability to input and extract data with

consistent response times – The number of users or queries that can be run

simultaneously

 – The environmental complexity of the data

model and the queries being run against themodel

 – The degree of support needed to maintainscalability 

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NCR’s Logical Data Model Philosophy 

NCR believes star schema’s limit business

intelligence

During modeling process, prefers Third NormalForm

Denormalizing helps the DBMS, but hurts the

quality of information

Third normal form avoids data integritycompromises 

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NCR’s Logical Data Model 

The four hardest things for a database to do:

 – Join Tables

 – Aggregate Data

 – Sort Data

 – Scan large amounts of data 

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WorldMark Servers

Four generations of large and medium scale servers

Optimized for Teradata architecture and Bynet technology

WorldMark 4800 and 5200 operate on Intel chip technology

4800 is scalable, and designed to run on applications from50 GB to 1 TB

Can be upgraded to the WorldMark 5200

Designed for large scale data warehousing, 400GB to100TB 

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 Teradata Relational DatabaseManagement System (RDBMS) 

Most powerful decision support parallel relationaldatabase.

Realistically support data warehouses in excess500 gigabytes of user data.

WHAT MAKE NCR TERADATA SO SPECIAL? 

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Teradata runs on SymmetricMultiprocessing (SMP) hardware platform 

Each access module process(AMP) as one processor.

Each AMP executes the queryfunctions and datamanagement.

Each AMP controls andmaintains a portion of databasestored on the disks, TASKSCAN PERFORM IN PARALLELas assigned by VNET.

Each AMP acts as a “unit ofparallelism”.

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Teradata’s Unconditional Parallelism 

NCR’s Teradata patented“shared nothing” architecture.

AMP 

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Teradata runs on Massively ParallelProcessing (MPP) hardware platform 

Interconnectthat coordinatesand synchronizesthe activities of a

large numberof SMP nodes 

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Scalability - the cornerstone ofTeradata RDBMS

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

Database Capacity:

128 Terabytes of data

1, 024 SMP nodes

32, 768 physical processors

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NCR Scalable Data Warehouse

NCR handles the world’s biggest data

warehouse for decision support withoutcompromising the data integrity by de-

normalizing the tables.

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

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NCR’s Alliance Partners 

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NCR’s Strategies 

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

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

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

used

Neighborhood Retailing

Customer Management Solutions

Customer Relationship Management

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How Do Customers Benefit From NCR?

Retailers analyze their profitability on a product, customer, andstore-level basis

Banks use NCR's data warehousing to separate the profitable

customers from the freeloaders

Supermarkets are working on an automated pricing system for

every item in the store

In the communications industry, NCR provides much needed

information management and the ability to bring new products to

market quickly. 

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NCR Customer’s Complaints 

Databases from Oracle, IBM and Microsoftare quickly adding all the features thatperform sophisticated requests onmultiterabyte data-warehouses

Changing ownership and leadership

NCR’s size 

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Competition and Problems

Competition:Andersen Consulting, EDS, IBM, and Unisys

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

Core business in computer systems is declining byalmost 30% a year and data warehouse sales haven’tpicked up the slack

NCR relies on international markets for 60% of its revenue

Stock price has dropped nearly 50% over the last fourmonths 

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Conclusion and Future Outlook

Now dedicated to becoming the leader in data warehousing

Focused on putting together a solid strategy to helpbusinesses understand who their customers are and howbest to serve them

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

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

Possess the needed technology and assets

Planning initiatives in e-commerce 

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NCR

Questions…?