Teradata automate the most difficult data mining tasks
By Our Corporate Bureau | 05 May 2004
Mumbai:
Teradata, a division of NCR Corporation introduced Teradata®
Warehouse Miner 4.0 data mining software along with enhanced
data quality consulting services. Teradata is the first
vendor to significantly automate the most difficult and
time-consuming tasks of analysing and preparing the data
for data mining and data quality analysis, which enables
businesses to drive a higher return on investment from
the enterprise data warehouse.
Teradata has incorporated best practices captured from its data mining consultancy into Teradata Warehouse Miner, a powerful tool used to mine the world''s largest data warehouses. The latest version, Teradata Warehouse Miner 4.0, contains two major innovative enhancements.
The first innovation significantly automates the generation of data for analysis, commonly referred to as the analytic data set. Teradata Warehouse Miner is able to analyse the entire data warehouse for specific relevant data elements and prepares them for analysis. The second enhancement offers built-in intelligence, which creates profiling capabilities that automate key data-assessment steps that identify patterns and anomalies in data.
"Selecting, profiling and preparing data is the most difficult and resource-intensive part of data mining," said Julian Beavis, vice president of Teradata, for India, SE Asia, Australia and New Zealand. "Pushing ahead of the competition, Teradata has found new ways to automate steps within the analytic data set creation by incorporating many new data mining components into Teradata Warehouse Miner 4.0 to make the data mining process easier while shortening the development and deployment cycle."
An innovative retail Teradata customer recently managed to convert a break-even target marketing campaign into a $1.6 million monthly profit by leveraging Teradata Warehouse Miner technology and Teradata Professional Services to identify incomplete and duplicate customer records which resulted in excessive mailing costs. By improving the quality of customer data and supporting multiple campaigns over a two-year period, this company was able to drive a total return on investment of over $54 million. In addition to data mining software, Teradata has enhanced its data quality consulting services by incorporating data mining techniques that profile data within the database. Teradata customers'' in-house data quality analysts can also utilize these data mining techniques to profile their data to validate business assumptions against their data and identify data inconsistencies. Profiling enables businesses to identify and resolve a wide range of data quality issues including: eliminating duplicate records, identifying missing data, validating data accuracy, verifying the format of data and identifying unrelated outlying data that may skew an analysis. Teradata Profiler leverages in-database, parallel processing techniques allowing the analysis of data directly in the database, eliminating the cost of data movement.
"Teradata''s innovative data profiling capabilities coupled with the world-class data warehousing consultancy and partnerships with industry-leading data quality vendors make the Teradata data quality solution the best and most comprehensive in the industry," said Julian Beavis.
