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NCR maintains the
"Terabyte Hall of Fame", which includes
terabyte-sized data warehouses (DWs) with most recent
addition the Boeing Company, which was named as the 100th
member. Even though DWs in the Hall come from different
vendors, NCR DWs are the majority, with Boeing being
NCR's 50th data warehouse with one terabyte of
user data. In general, NCR tripled the number of DWs with
more than one terabyte of data that use its own Teradata
Warehouse since mid-1998. |
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Customers of Teradata
Warehouses include organizations in the financial,
retail, telecommunications, and transportation
industries. Just to provide some examples, we can mention
J.C. Penney Company, K-Mart. Wal-Mart, Sears,
Union-Pacific Railroad, Barclays Financial services,
Telekom Austria, AT&T Wireless, Qantas Airways, and
many more. From the few examples mentioned, we can also
see that NCR customers come from around the world, and
not just North America. |
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Based on the information
provided above, we can assess the increasing importance
of DWs in business operation. Companies increasingly
understand the critical business role of transforming the
vast amount of data gathered from everyday applications
to meaningful information. Based on these information,
companies can maintain and enhance customer
relationships, as well as increase operational
efficiency. |
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By examining the features of
Teradata we can see the adaptation of technology to
ever-changing customer needs. DWs start small and grow
bigger in an exponential pattern. Thus, analyzing
detailed, large volumes of data becomes critical issue
for many businesses. Teradata has recently proven its
performance capability by achieving the industry’s
best power and price/performance at data volumes from
100GB through 3TB (See: http://www3.ncr.com/teradata/tpcd-results.html). |
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In addition, Teradata
provides capability of handling Abstract Data Types (ADT)
such as image, audio, and video. For example, you can
include images of products, the "webwalk" of a
customer (the sequence of pages he visited), or customer
calls. Handling these types refers not only to storing
and retrieving, but also querying on them. Based on a
product picture, customers can request similar items;
companies can categorize customers based on their
"webwalk"; most important, companies can
perform truly personalized marketing based on far more
personal information. |
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Source: http://biz.yahoo.com/prnews/990217/oh_ncr_gro_2.html |
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