Teradata, a division of NCR Corp., provides enterprise data warehousing, analytic applications and data warehousing services. Organizations around the world use Teradata's solutions to get a single, integrated view of their business, which helps to enhance decision-making, customer relationships and profitability, Teradata said.
The new technology allows companies to convert information into insight, and insight into actions which support better, faster decisions, according to Teradata of Dayton, Ohio. Teradata Warehouse Miner 5.0 has been designed to optimize analytics when combined with SAS (Serial Attached SCSI), SPSS, Fair Isaac Corp.’s Model Builder and KXEN Inc.’s data-mining tools, Teradata said.
The combination of the Teradata in-database performance with other vendors’ data-mining tools can speed model development as much as two to three times faster, and runtime of data-mining models up to 25 times faster, Teradata said last week. This in-database performance is valuable to customers and partners as it helps to provide more insight, through more analytic models, executed against more customers’ data, across the organization in real time, it added.
Teradata’s technology allows its customers to advance beyond describing what their customers did last quarter to predicting future buying behavior, it said. A major European bank, for example, improved its target marketing campaigns with Teradata Warehouse Miner by identifying potential banking customers with a 300 percent improvement in response over the control group, it added. By leveraging customer data, the bank understood how to focus its offers and customer service on fewer customers to produce better sales results, Teradata said. .
A major U.S. wireless provider increased contract renewals by 50 percent after proactively contacting selected customers based on analytic intelligence that provided clues to when they were likely to terminate their wireless contract, according to Teradata. The Teradata customer now has the lowest attrition rate of any wireless provider, it said.. By building an analytic data set in the Teradata database, they created a single, comprehensive view of their consumers with consolidation of demographics, web usage, calling patterns and customer service call history that allowed the provider to improve their attrition rate, Teradata added.
Teradata Warehouse Miner 5.0 optimizes the data-mining process and can accelerate the use of partners’ data-mining tools by providing features like data profiling, Analytic Data Set (ADS) Generation, Extended Predictive Model Markup Language, and model management, Teradata said.
Teradata Warehouse Miner 5.0 offers Data Profiling by using data exploration features, allowing businesses to identify and resolve a range of data-quality issues that include identifying duplicate records and missing data, validating data accuracy, verifying the format of data and identifying outlying data that may skew an analysis, Teradata said.
The Teradata Profiler leverages in-database, parallel-processing techniques, to allow the analysis of data directly in the database, which improves performance, while eliminating the time and costs of moving data among databases. With Teradata Warehouse Miner 5.0, data profiling capabilities have been enhanced with drill-down functionality where users can retrieve detailed data representing a segment in a graph to investigate and resolve data-quality issues, Teradata said.
The Teradata ADS Generator is a flexible, open data-mining solution that streamlines time-consuming and critical steps of data mining, which is essential for preparing data for analysis, Teradata said. Most businesses spend up to 70 percent of their data-mining time and resources getting data ready for analysis, which is a waste of valuable resources, it added.
Teradata ADS Generator can reduce the data preprocessing time by at least 50 percent, according to Teradata. This varies significantly depending on the amount of data and can increase with the growth of data volumes, it said. This capability also allows analytic modelers to focus on analysis to increase profitability, instead of dealing with data movement and management issues, Teradata added.
Teradata has extended support of the XML-based Predictive Model Markup Language (PMML) to additional data-mining vendors, it said. PMML is an open standard which allows businesses to share analytic models among applications that allows them to easily port desktop analytic models to leverage the power of a large parallel database with minimal effort, it added. The use of PMML helps to increase performance and allows scalability, Teradata added.
With Teradata Model Manager, Teradata has simplified the complex data-mining execution process by making it faster and easier for technical as well as non-technical business users to convert massive amounts of detail data into analytic intelligence, Teradata said. Business users can execute the analytic model against fresh data by targeting new customer or product segments, Teradata added. They can analyze a large number of customers or products within a data warehouse with minimal guidance, it added.
In addition to the standard model management capabilities such as tracking, descriptions, assessment and scheduling, Teradata has also automated the deployment process, it said. With Teradata Warehouse Miner tightly linked to the data warehouse, the Teradata Model Manager automates the laborious model deployment process by selecting the required data and striping out the data irrelevant to the analytic model, it added. This creates a slimmed-down version of the analytic data, which takes less time to develop and fewer resources to run in the database, Teradata added.
The combination of KXEN and Teradata technology, particularly the ADS Generator and Model Manager offers unlimited use of data to generate insight and increased profitability for mutual joint customers, according to KXEN of San Francisco, California.
